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    cioinsights

    High-performance computing Operational insights Sustainable growth Business and IT alignment Doing more with less

    Imperatives for the new CIOHow to manage data and apply analyticsfor efficiency and change

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    Editor-in-Chie

    Kelly LeVoyer

    kelly.levoyer@sas.com

    Managing Editor

    Alison Bolen

    alison.bolen@sas.com

    Copy Editors

    Amy Dyson

    Trey Whittenton

    Chris Hoerter

    Editorial Contributors

    Anne-Lindsay Beall

    Lori Bieda

    Rockwell C. Bonecutter

    Keith Collins

    Tony Fisher

    Russell Gardner

    Barry Gay

    Suzanne Gordon

    Dale R. Hersch

    Anne Milley

    Kate Morton

    Stephen Nunn

    Cathy Traugot

    Patrick Van Deven

    Ed Walker

    Aiman Zeid

    Design

    Ashley Campbell

    Circulation

    Ellen Brandt

    Production

    Melody Fountain

    Copyright 2010 SAS Institute Inc., Cary, NC, USA. All rights reserved. Limited copies may be made or internal sta use only. Credit must begiven to the publisher. Otherwise, no part o this publication may be reproduced without prior written permission o the publisher and copyrightowner. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks o SAS Institute Inc. in the USA andother countries. indicates USA registration. Other brand and product names are trademarks o their respective companies. S62016.1010

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    www.sas.com/cioinsightsContents|P1

    2 CIO imperativesOptimization and innovation

    3 Executive summary

    4 Managing the data assetHow to treat your data like the high-value business asset that it is

    8 Three CIO challenges you can solve todayOvercome your biggest issues with a framework for business analytics

    11 Why IT cant ignore social mediaSocial data is not an island but part of a larger consumer ecosystem

    12 More government intelligence or lessBelgian public sector CIO taps into analytical creativity andmaximizes resources

    16 Make the most o your analytical talentTips for establishing an analytic center of excellence

    20 Good news or retail CIOsBusiness analytics technologies are more than just a trend

    24 How to transition IT rom cost center to value centerData integration and language translation bring efficiencies

    26 Running IT as a businessSeven steps to aligning IT with the business

    29 The CIO as eco-championFive ways IT can contribute to a companys green agenda

    32 Four methods or high-perormance computing

    How to choose the right high-performance computing methodfor your business analytics scenario

    36 Top 5 reasons why CIOs want business analyticsSAS executive explains how to bring efficiency to IT

    contents

    ACCESS THIS REPORT ONLINE

    www.sas.com/cioinsights

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    www.sas.com/cioinsightsP2|CIO imperatives: Optimization and innovation

    CIO imperatives:Optimization and innovationBy Suzanne Gordon, CIO, SAS

    In a struggling economy and even in

    an unsettled period o recovery the

    words optimization and innovation orm

    the basis o nearly every executives

    rallying cry around the world. The in-

    tent, or rather the goal, is to inspire

    employees to streamline operations,

    reduce costs and increase productiv-

    ity, while laying down a solid ounda-

    tion or growth in advance o better

    economic times.

    As the CIO o SAS, I witness every day

    how these themes orm the nucleus o

    our IT departments strategic plan and

    guide my management teams actions.

    I view the role o CIO as being similar

    to that o a ships head engineer, who

    manages the technical operations o a

    large vessel. Its a critical organizational

    role; even more so in stormy waters.

    With this in mind, the alignment, e-ciency and ocus o my team plays an

    essential role in maintaining SAS market

    leadership, by applying high standards

    o service to meet internal and external

    customer expectations. I expect many o

    you are in the same boat.

    Today, as CIOs, we must approach

    optimization and innovation rom

    three standpoints: people, process and

    technology. In terms o people and pro-

    cess, we need to ocus on things such as

    eciency, agility, change management

    and productivity, and every employee

    should be empowered to nd ways o

    improving and innovating each day.

    Where technology is concerned, cost-

    eectiveness, integration, consolidation,

    globalization, operational insight and

    virtualization will be critical to achieving

    more with less and, ultimately, improving

    organizational perormance.

    The issues we ace today as CIOs are

    truly global in nature. Collaboration

    and sharing o best practices amongst

    senior IT executives will provide

    a ertile ground or achieving our

    mutual goals o optimization andinnovation and its in this spirit that

    the current CIO Insights report has

    been compiled. In these pages we

    address some key challenges and

    opportunities or CIOs today. The

    articles and case studies, gathered

    rom around the world, are meant to

    inorm, inspire and to motivate you as

    IT leaders, in your ongoing eorts to

    optimize and innovate in waters both

    calm and rough.

    Chie Inormation Ocer Suzanne Gordon oversees

    the IT inrastructure and support services at SAS

    A pastComputerWorldPremier 100 IT leader, Gordo

    has held a number o IT and consulting leadership

    positions in her 30-year tenure at SAS.

    suzanne.gordon@sas.com

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    www.sas.com/cioinsights

    Executive summary

    Executive summary|P3

    As a modern-day Renaissance leader, todays CIO inuences a more varied agenda than ever rom an organiza-

    tions IT strategy to its proftability and customer service to its impact on the environment. This CIO Insights report shares

    strategies or managing data, resources and innovative technologies to enable growth, proftability and agility. Explore

    high-perormance computing or greater analytic perormance; learn how a business analytics architecture can help

    deliver on business unit demands; read best practices or building an analytics center o excellence all while running as

    a proftable and environmentally conscious IT organization. To share this report online, visitwww.sas.com/cioinsights.

    Un peu limage dun leader de la Renaissance des temps modernes, le directeur dessystmes dinormation (DSI) daujourdhui voit ses responsabilits plus nombreuses etplus varies que jamais ; de la mise en uvre de la stratgie de systmes dinormationdune organisation leur rentabilit, en passant par la gestion de son service clientou encore son impact environnemental. Le prsent rapport CIO Insights (Le point surle DSI) vous propose des stratgies de gestion de donnes, ressources et nouvellestechnologies qui vous ouvriront les portes de la croissance, de la rentabilit et deladaptabilit. Dcouvrez ce que des perormances inormatiques suprieurespeuvent vous apporter en termes de perormance analytique ; apprenez tirer parti dunearchitecture danalytique de gestion pour rpondre aux besoins des divisionsoprationnelles ; consultez les meilleures pratiques pour mettre en place un vritablecentre dexcellence en matire danalytique... le tout, en poursuivant vos activitsdorganisation de technologies de linormation la ois rentable et cosensible. Pourpartager ce rapport en ligne, consultez le site www.sas.com/cioinsights.

    Como lder renacentista moderno,el director general de inormacin(chie inormation ocer, CIO) de hoyinfuye en una agenda ms variadaque nunca, desde la estrategiade tecnologa de la inormacinde una organizacin hasta surentabilidad, servicio de atencinal cliente e impacto en el medioambiente. El inorme de opinionesdel CIO comparte estrategiaspara administrar datos, recursosy tecnologas innovadoras parapermitir el crecimiento, la rentabilidady agilidad. Explore una inormticade alto rendimiento para lograrun mayor rendimiento analtico;aprenda sobre cmo la arquitecturaanaltica de un negocio puede ayudara cumplir con las exigencias de lasunidades comerciales; interpretelas metodologas acertadas paraconstruir un centro analtico deexcelencia. Logre todo esto mientrasadministra una organizacin detecnologa de la inormacin rentabley con conciencia ecolgica. Paracompartir este inorme por Internet,

    visite www.sas.com/cioinsights.

    RsumResumen ejecutivo

    Die Augaben des heutigen CIO umassen ein breiteres Spektrum als je zuvor von der IT Strategie eines Unternehmenszu seiner Protabilitt und dem Kundenservice bis hin zu seinen Auswirkungen au die Umwelt. Dieser CIO Insights-Bericht zeigt Strategien r die Verwaltung von Daten, Ressourcen und innovativen Technologien au, die Wachstum,Protabilitt und Flexibilitt untersttzen. Entdecken Sie High Perormance Computing r hhere analytische Leistung;lernen Sie, wie eine Business-Analytics-Architektur den Anorderungen von Geschtseinheiten gerecht werden kann;lesen Sie ber beste Vorgehensweisen zum Aubau eines Analytik-Kompetenzzentrums... und all das, whrend Sie alsprotable und umweltbewusste IT-Organisation ihre Geschte hren. Um diesen Bericht online zu lesen, besuchen Siewww.sas.com/cioinsights.

    Zusammenassung

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    www.sas.com/cioinsightsP4|Managing the data asset

    Managing the data assetHow to treat your data like the high-value business asset that it is

    By Tony Fisher, President and CEO o DataFlux

    Data is now collected and saved rom

    every conceivable source Internet

    applications, ront-oce and back-oce

    systems, trading networks, social media

    and such complexity requires a sophis-

    ticated, deliberate process or managing

    this vital inormation. Ater all, data holds

    the key to sales, marketing, customer

    support, production and other initiatives.Without an accurate view o customers,

    products, materials, locations and

    assets, how can a company compete in

    todays marketplace?

    Organizations must approach data

    management in the same ashion that

    they manage any process with a

    well-dened, repeatable methodology.

    To accomplish this, you need a data

    management liecycle methodology

    to manage, monitor and maintain

    data to benet every phase o the

    business. DataFlux recommends this

    six-phase process:

    1. Dene. 4. Execute.

    2. Discover. 5. Evaluate.

    3. Design. 6. Control.

    Lets look at each step in detail.

    Defne

    The Dene phase o the data manage-

    ment methodology is just as important

    as mapping out a journey. The deci-

    sions made at this phase will guide the

    collection, organization, enhancement

    monitoring and retirement o your data

    assets throughout the process. While

    you dont need all the answers at the be-ginning, you need a solid plan on how to

    proceed and what the ultimate success

    indicators will be. Also, these success

    indicators have to map to the business

    problem identied earlier; the reason

    or the project (cut costs, mitigate risks

    enhance revenue, etc.) provides a crucia

    guide or the Dene phase.

    During the Dene phase, an organi-

    zation should rst answer a series o

    questions about:

    People. Whos involved? And or what

    purpose? This step outlines everyone

    involved in the data management

    process, including executive sup-

    port, manager/director sponsorship

    and business and IT involvement

    Organizations also set up steering

    committees and/or stewardship

    teams to acilitate collaboration on

    cross-unctional issues.

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    www.sas.com/cioinsightsManaging the data asset|P5

    Road map

    . Where are we now?Where do we want to go? What ob-

    stacles are in our way? Oten, the rst

    task ater selecting the right people is

    to determine a path to a successul

    outcome including the denition o

    a successul outcome.

    Source systems. What data will we

    need? Where is that data coming

    rom? The road map tells the story o

    where the project is intended to go.

    This part o the Dene phase will in-

    orm the team on the source systems

    and which data will play a role in the

    data management project.

    Business processes. Which busi-

    ness processes will be aected?

    How will better data enhance the

    way the organization operates? This

    part o the Dene process maps the

    data management strategy to exist-

    ing business processes. Better data

    can ultimately streamline business

    processes, as less time is spent rec-onciling conusing views or managing

    poor-quality data.

    Business rules and data defnitions.

    How do we dene customer? How

    do we want to optimize procurement

    and spending? This phase seems

    simple enough, but it can be decep-

    tively dicult. Billing might dene

    customer as anyone that receives

    an invoice, while customer support

    may only want to know who the useris. These decisions will orm the basis

    o business rules and data denitions

    that will guide later phases.

    Discover

    Data can only be useul i you understand

    where it is, what it means to your organi-

    zation and how it relates to other data in

    your organization. The Discover phase is

    designed to do just that.

    Every new application implementation,

    data warehouse development, data mi-

    gration or consolidation initiative should

    start with data discovery. Additionally,

    any time that new data sources enter

    your organization, start with data discov-

    ery. Data discovery has several compo-

    nents to it, and each prepares you or

    your data initiatives:

    Data exploration. This diagnostic

    phase is concerned with document-

    ing the data in your organization and

    the characteristics o that data. Datadiscovery arms you with inormation

    about the accuracy, consistency and

    reliability o your data.

    Data profling and auditing. Data

    proling alerts you to data that does

    not match the characteristics dened

    in the metadata compiled during data

    exploration. But, more importantly,

    data proling can also tell you i the

    data meets the business rules and

    denitions established in the Denephase. In addition, data proling can

    help you determine the relationships

    across your data sources where you

    have similar data, where data is in

    confict, where data is duplicated and

    where data may be dormant.

    Data cataloging and business

    vocabulary. You need a development

    environment where data sources

    can be combined and rationalized

    A place where you can group data

    sources into projects to allow you to

    work across your data sources and

    develop a consistent environment o

    managing your data. Data catalog-

    ing lays the groundwork or all data

    management tasks to ollow. Data

    catalogs must be augmented with

    business denitions and vocabular-

    ies, allowing the business user to

    comortably navigate the landscape.

    Design

    Ater completing the rst two steps o

    the data management methodology, you

    will be able map your strategy, identiy

    sources, understand the underlying or-

    mats and structures, as well as assess

    the relationships and uses o data. Now

    you ace another challenge taking all o

    these dierent structures, ormats, data

    sources and data eeds, and creating

    an environment that accommodates the

    needs o your business.

    Data can only be useul i youunderstand where it is, what

    it means to your organization

    and how it relates to otherdata in your organization.

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    www.sas.com/cioinsightsP6|Managing the data asset

    The Design phase requires consolidation

    and coordination, all the while concen-

    trating on three major imperatives:

    1. Consistency o rules. Ultimately, anorganization needs one set o busi-

    ness rules that can be stored centrally

    but deployed across all data sources,

    applications and lines o business.

    2. Consistency o the data model. The

    data model is the single, denitive

    source or how your data maps to

    your business. Through the process

    o creating a well-structured data

    model, you identiy the appropriate

    source systems and begin to reconcilemultiple views, i required.

    3. Consistency o business pro-

    cesses. During the Dene and

    Discover phases, you will identiy pro-

    cesses that are potentially aected.

    Now, the task is to provide consis-

    tency across these processes. When

    creating business rules, you have to

    know how to reconcile questions like

    Is this a new customer or an existing

    customer? or Is this a customer ingood standing? By understanding

    the processes that are aected, you

    can design more eective rules to

    automate business processes.

    Execute

    Now that the business users have es-

    tablished how the data and rules should

    be dened, it is up to the IT sta to en-

    sure that databases and applicationsadhere to the denitions. There are

    many types o architectures involved

    in this phase: enabling ERP and CRM

    applications via proprietary interaces,

    enabling data marts and data ware-

    houses via extraction, transormation

    and loading (ETL) fows, enabling MDM

    systems via service-oriented architec-

    ture (SOA)/ETL or other technologies.

    The method and management o en-

    abling the data in any o these environ-ments is a decision that IT has to make in

    order to ensure the integrity and integra-

    tion into the various systems.

    One potential pitall in the Execute phase

    is to duplicate the rules and standards

    rom the Design phase or each applica-

    tion or data source. When duplicating the

    rules and denitions across siloed, unre-

    lated systems, multiple, point-to-point

    interaces are inadvertently created.

    These rules denitions must then beupdated, separately, each time a rule or

    business initiative changes.

    Naturally, this approach is highly imprac

    tical or the IT team to manage. A better

    solution is to build the denitions once

    and ensure that you have the ability to

    collectively apply those denitions across

    your organization. As one IT director put

    it: We want to build our standards and

    rules once and then have the ability to

    use them repeatedly and propagate to

    the entire organization seamlessly.

    For each data source, each business

    process and each application that is

    modied to the new data denitions

    you need to:

    Understandtherequirements. Validate that the new integration

    meets the requirements.

    Deploytheinterfaceintoproduction.

    By repeating this process during

    the execution phase, you can create

    the data management rules to guide

    the collection and organization o data

    test its integrity, and move to the next

    phase o the process.

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    www.sas.com/cioinsightsManaging the data asset|P7

    Tony Fisher is President and CEO o DataFlux, a

    wholly owned subsidiary o SAS, which enables

    companies to analyze, improve and control their

    data through an integrated technology platorm. He

    has guided DataFlux through tremendous growth as

    it became a market-leading provider o data quality

    and data integration solutions.

    Evaluate

    A healthy data lie cycle requires a robust

    monitoring and reporting system. The

    data needs to be consistently monitored

    so it remains t-or-purpose or your

    organization. Why is this so critically

    important? Ater all, you just spent lots o

    time, energy and resources to get your

    systems to a point where the business

    users have a consistent and validated

    view o your organization. Isnt it time to

    just enjoy the success o all this eort?

    Actually, the opposite is true. Very ew

    organizations are static they are orever

    growing and evolving. For example, you

    add new partners that bring new data tothe table. Your business changes, sales

    regions are created or modied, you take

    on new initiatives and you develop new

    products. All o these changes must be

    refected in your data, which makes the

    Evaluate phase so important.

    Your mantra or success at this point

    needs to be: 1. Monitor; 2. Review; and

    3. Optimize. Data should be monitored

    and validated as it enters your organi-

    zation to veriy it is meeting your rules.Those rules need to be constantly moni-

    tored to ensure they are still meeting the

    needs o your business. Eorts in dis-

    covery, design and execution will allow

    you to consolidate the rules and require-

    ments into a single environment. With

    the ability to centralize the required data

    management rules, the changes can be

    immediately propagated across the or-

    ganization, without duplication o eort.

    Monitoring is a joint activity between

    IT and business users. IT monitors and

    validates that systems are running within

    their required service-level needs. Busi-

    ness users also benet rom the moni-toring reports constantly reviewing the

    reports and validating that business

    needs are being met while making chang-

    es when the business needs change.

    Control

    One thing is certain in todays inormation

    age: A wide variety o data will continue

    to quickly pour into your organization.

    It is easy to see why data is a key asset.

    However, it is also important to recog-

    nize when data needs to be retired. TheControl phase is about reassessing data.

    I data is no longer useul to your organi-

    zation, you must be able to retire the data

    appropriately. This allows you to ree

    up resources that are being expended

    maintaining the data environment.

    For example, lets look at a common data

    problem acing nancial services rms.

    When mergers, acquisitions and divesti-

    tures occur, you need the ability to purge

    or re-categorize data. You dont want to

    spend resources managing the data o a

    company that no longer exists.

    Lastly, it is important to promote yousuccesses across your organization

    When you began your lie cycle, you

    were solving a business problem. By the

    time you have reached this phase in the

    lie cycle, you should have improved you

    business. Communicate and evangelize

    these messages to help everyone rom

    senior management on down recognize

    that the eorts were successul and the

    business is improved. This demonstrates

    the business benets o a sound data

    management methodology across theorganization, and it paves the way o

    support o uture initiatives.

    Very ew organizations are static. You addnew partners that bring new data to the table.

    Your business changes. Sales regions arecreated or modied. You take on new initiativesand develop new products. All o these changesmust be refected in your data.

    ONLINE

    One solution for data quality, data integration

    and MDM:

    www.sas.com/cio-datafux

    Data integration 101 webinar:

    www.sas.com/cio-dicast

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    www.sas.com/cioinsights

    Three CIO challengesyou can solve todayOvercome your biggest issues with a ramework or business analytics

    CIOs and IT managers are under tre-

    mendous pressure to choose the right

    products, services and technologies that

    can transorm data into a competitive

    advantage enabling strategic deci-

    sions that optimize perormance. Theywant to enhance operations and achieve

    success by increasing data consistency,

    streamlining administration and provid-

    ing easy-to-use reporting tools backed

    by powerul analytics. To empower the

    organization now and meet uture needs

    in a timely ashion, CIOs and IT manag-

    ers should address these three issues.

    Issue 1: Support sustainable

    growth while managing risk throughthe innovative use o technology

    and inormation

    Change in business is inevitable

    especially with the collapse and bail-

    out o global banking systems and the

    sudden instability o stock markets.

    These circumstances and more have

    created a radically dierent context or

    economic growth. While the dust set-

    tles, governance, risk and compliance

    will play major roles in transorming

    organizations to reduce the possibility

    o urther collapses. Technology and

    process strategies will ocus on rebuild-

    ing sustainable growth levels but withinthe constructs o increased regulations

    perormance and risk management

    coordination, and evolving expecta-

    tions o corporate responsibility.

    Organizations are continually searching

    or innovative ways to improve peror-

    mance, achieve greater top-line growth

    and maintain a competitive edge

    To do so requires decision makers be-

    ing able to assess the impact o market

    dynamics more quickly, explore dier-

    ent options, learn rom experimentation

    and validate best approaches. SAS

    can help IT organizations by providing

    a fexible environment that allows the

    organization to change or evolve as the

    need arises, while enabling centralized

    control and management o data and

    inormation processes.

    P8|Three CIO challenges you can solve today

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    www.sas.com/cioinsightsThree CIO challenges you can solve today|P9

    Issue 2: Provide an inrastructureto manage the growing appetite

    or intelligence

    More data, more users. These are the

    two primary demands acing most ITorganizations. And unortunately, many

    CIOs admit they have the sense that

    managing the fow o inormation into

    and throughout the business is not be-

    ing done eectively. By integrating your

    organizations technology components

    (whether its an ERP system, call center

    data, point-o-sale systems, etc.) within

    your IT inrastructure, SAS can help

    you create a single environment that

    overcomes departmental inormation

    silos and diverse computing platormsto deliver integrated intelligence that can

    make a dierence to your organization.

    SAS provides an integrated suite o sot-

    ware that leverages domain expertise,

    best practices and state-o-the-art busi-

    ness analytics that enable your organiza-

    tion not only to understand the past and

    monitor the present, but optimize oppor-

    tunities or the uture.

    Issue 3:Derive more valuerom existing technology and

    inormation assets

    Make the most o what you have, and

    do more with less. Particularly in thistime o economic strie, this is a mantra

    everyone hears. IT departments are no

    dierent. Organizations expect IT to de-

    liver more value while staying at or under

    budget. At the same time, IT must miti-

    gate the risks associated with managing

    inormation and security o the systems.

    This can be a dicult challenge when

    every department and business unit is

    collecting, managing and analyzing data

    in silos with a heavy dependence on

    spreadsheets or analysis.

    Decision makers demand ast answers,

    and it is the job o IT to make sure inor-

    mation is accessible at the right level o

    detail when it is needed. To make the

    most o what you have, you must ag-

    gregate and cleanse your data, and

    ensure security processes are in place.

    You need a data integration environment

    that is easily managed. You need the

    Decision makers demandast answers, and it is the jobo IT to make sure inormationis accessible at the right levelo detail when it is needed.

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    www.sas.com/cioinsightsP10|Three CIO challenges you can solve today

    Business analytics drives savings and revenues or1-800-FLOWERS.COM

    Steve Bozzo, the CIO at 1-800-FLOWERS.COM, uses SAS to provide a

    360-degree view o more than 30 million customers and help 15 business

    units derive the inormation they need to grow revenues and reduce costs.

    1-800-FLOWERS.COM has grown its amily o git brands to more

    than 14 through a combination o internal development and strategic

    acquisitions in the past nine years. This presents Chie Inorma-

    tion Ocer Steve Bozzo with a monumental task: aggregate

    inormation across multiple platorms to provide a 360-degree view o more

    than 30 million customers, help 15 separate business units derive

    the inormation they need to grow revenues and reduce operatingcosts and do it all on a tight budget. SAS solutions cut the task

    down to size, helping the CIO o the largest forist and git shop

    in the world meet his objectives.

    There has never been a SAS solution weve added

    that hasnt resulted in double-digit ROI, says Bozzo.

    I would tell other CIOs that are thinking about

    buying SAS: Youre going to be pleasantly

    surprised. And that doesnt happen

    oten or CIOs.

    ONLINE

    White paper: Business Analytics for the CIO:

    www.sas.com/cio-paper

    White paper: Architecture for Business Analytics:

    www.sas.com/cio-bapaper

    Reporting. Role-based interaces en-

    able dierent types o users to surace

    and visualize meaningul intelligence

    rom consistent, companywide data.

    Using the platorm or SAS Business

    Analytics as a oundation, SAS oers

    targeted business solutions that supportkey areas o your business, such as cus-

    tomers, nance, risk and supply chain

    plus turnkey solutions or various vertical

    markets, including nancial services, lie

    sciences, health care, insurance, retail,

    ability to apply analytics to gain predic-

    tive insights and push appropriate inor-

    mation to decision makers so they can

    make the most o it, whether they want

    to drill down and ask urther questions or

    have presentation-quality results at their

    ngertips. By improving data quality and

    security processes, integrating inorma-tion with business processes and provid-

    ing data that is easily understood at the

    right level o detail, SAS helps IT execu-

    tives cost-eectively achieve a strategic

    ramework or business analytics.

    Data integration, analytics

    and reporting

    The platorm or SAS Business Analytics

    provides the oundation needed to solve

    your top issues. It integrates individualtechnology components within your

    existing IT inrastructure into a single,

    unied system. The result is an inor-

    mation fow that crosses organizational

    boundaries and delivers new insights

    that drive value. SAS Business Analyt-

    ics extends the value o your existing

    systems, while setting the stage or new

    levels o intelligence. It includes the ol-

    lowing components:

    Data integration. SAS oers prebuilt,

    high-perormance capabilities ordata connectivity, data quality, ETL

    (extract, transorm and load), data

    migration, data synchronization and

    data ederation.

    Analytics. SAS provides an inte-

    grated environment or predictive and

    descriptive modeling, orecasting,

    optimization, simulation, experimen-

    tal design and more.

    manuacturing and more. These solu-

    tions incorporate our domain expertise

    as well as data structures and analytic

    models tuned to specic business and

    industry needs.

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    www.sas.com/cioinsightsWhy IT cant ignore social media|P11

    Why IT cant ignore social mediaSocial data is not an island but part o a larger consumer ecosystem

    By Lori C. Bieda, Marketing Executive, SAS Canada

    The mention o new data sources cap-

    tures the ear o IT executives. And it

    should, as IT inherits the implications o

    new data rom nding a home in the

    corporate IT structure or the data, toputting in place the appropriate policies

    to manage it.

    Consider social data, surpassing

    1.2 zettabytes in size and sourced

    rom millions o online sites, blogs

    and tweets with applications ranging

    rom marketing and public relations to

    customer service, market research and

    human resources. With 90 percent o

    executives saying social media will have

    a potential impact on their corporatebrand, organizations are siting through

    the opportunities or this new medium,

    according to a recent study rom SAS

    Canada and Leger Marketing. Why then

    are less than 7 percent o IT proession-

    als engaged?

    New to the medium and daunted by

    the sheer volume o data, most organi-

    zations have outsourced the collection

    and management o social inormation

    to analytics and sotware rms. Lead-

    ers whove either been appointed

    heads o social media (typically digital

    marketers and PR proessionals), or

    those whove stepped orward vol-

    untarily to claim that unclaimed land,

    are working with vendors to pull social

    ragments and sentiment into busi-

    ness taxonomies, and striving to make

    sense o the chatter.

    Yet, data begets data. The more o it that

    gets analyzed, the more opportunity the

    marketer will see and the greater the ten-

    dency to combine data sources to create

    a uller picture o the business. Call cen-ter records, corporate e-mail, customer

    satisaction data all rich data sources

    are likely siblings to social data.

    For example, when the inamous

    YouTube video showing a Bic pen

    opening a Kryptonite Lock reached

    critical mass online, I bet a food o con-

    cerns came pouring in to Kryptonite call

    centers and sites. Consumers know no

    corporate boundaries. Like water run-

    ning through all available cracks, theypenetrate the organization on multiple

    ronts, their pathways oten only evident

    in post-analysis. A uller picture in real

    time allows us to properly sta call cen-

    ters or escalating issues, adjust Web and

    call scripts to eld inquiries, and respond

    to growing issues beore they swell to un-

    manageable proportions and risk brand

    damage or customer satisaction.

    Beore companies launch their socia

    media strategies and IT inherits the

    implications, its best i IT leaders inser

    themselves into the discussion. Socia

    data, while indeed a new data source, isno island. Used strategically, it is an es-

    sential part o a consumer ecosystem

    Ater the preliminary listening is done

    marketers will graduate to more sophis-

    ticated needs and demand connectiv-

    ity to rich internal data sources. Theyl

    expect there to be bridges traversing

    the islands, and IT will be essential o

    tapping into internal sources and ensur-

    ing accurate, timely inormation fow to

    marketers desktops.

    Itd be a shame, or a medium whose

    very power is dened by speed, to not

    build the underlying inrastructure in

    a way that enables superior precision

    and a speed to market that makes

    competitors wince.

    Lori Bieda is a marketing executive with 19 years o

    experience helping companies leverage analytics and

    client insights to drive protable business decisions.

    Formerly Vice President o Client Insights and Database

    Marketing at a major bank, Bieda is now a SAS con-

    sultant helping organizations across Canada, US, Latin

    America and the Caribbean improve their analytics and

    marketing eectiveness.

    ONLINE

    SAS Social Media Analytics demo:

    www.sas.com/cio-smademo

    Survey says 90 percent of Canadian

    organizations use social media:

    www.sas.com/cio-smasurvey

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    www.sas.com/cioinsights

    More government intelligence or lessBelgian public sector CIO taps into analytical creativity and maximizes resources

    Frank De Saer, CIO at Belgiums Federal

    Public Service Economy, which includes

    the very important National Institute o

    Statistics (NIS), recognizes that an e-

    ective inormation delivery strategy is

    driven by business needs. His challenge,

    as he sees it, is to increase the quality

    o government inormation and services

    while driving down its cost.

    Achieving this objective means ocus-

    ing on three distinct requirements: datastandardization, more ocused use o IT

    human resources; and, most importantly,

    putting inormation and analytics in the

    hands o the users.

    The need or standardization exists or

    a number o reasons that have evolved

    over the years: the need to access data

    rom various sources, the end users

    need or ocused expert support with-

    out buck-passing, the economic ben-

    ets such as reduced maintenance eesand the desire to ensure that analytical

    reporting is based on one version o

    the truth.

    Nowhere is it more important to ensure

    that analytics is based on a consistent

    and accurate pool o inormation than

    in the area o economic statistics, which

    serves as a basis or planning at macro-

    P12|More government intelligence or less

    The integrated SASsolution was technicallysuperior and promised

    to be more stable,guaranteeing integrated

    security and metadatain both the short and

    the long run.

    Frank De Saer,CIO, Belgiums Federal

    Public Service Economy

    and microeconomic levels. Our core

    business is delivering high-quality, reliable

    inormation to our customers: govern-

    ment ministers, civil servants, enterprises

    and private citizens, says De Saer.

    Public Service Economy is composed o

    167 business units and services cover-

    ing areas as diverse as the Belgian En-

    terprise Register, the calculation o ue

    prices and intellectual property. These

    units require 24/7 access to businessintelligence. Thats what De Saers team

    provides, but he goes even urther: He

    sees the contemporary CIOs challenge

    as increasing the quality o governmen

    inormation and services while driving

    down its cost.

    Fewer employees, alling budgets

    I you could travel back in time 15 years

    and see how things worked at the NIS

    then, you would appreciate the pace

    o change. Back then, all data had tobe manually input into the fat les on

    the mainrame, and statistics were then

    laboriously compiled and published in

    hard copy. On the other hand, the NIS

    had enough human resources to cope

    with the task. Since then, headcount has

    been reduced steadily. For every three

    employees who retire, De Saer can re-

    cruit only one.

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    www.sas.com/cioinsightsMore government intelligence or less|P13

    Budgets have likewise come under pres-

    sure. We ace a situation that is amiliar

    to many CIOs in both the public and

    private sectors, says De Saer. Most

    o our annual budget is spent on xed

    operational costs (OPEX). That means

    unds or new projects are diminishing

    every year i we do not succeed in reduc-

    ing our OPEX.

    Empowering employees

    and customersAt the same time, the demands o end

    users at the NIS have changed dramati-

    cally. To keep up with expectations,

    we need to stay ahead o the curve,

    says De Saer.

    Printed stats are no longer acceptable.

    Users want inormation that is delivered

    t or purpose and ready to use.

    I eel we are at the oreront o a revolu-

    tion in the way IT unctions in the publicsector, says De Saer. Essentially, the

    new way o working is to help employees

    and customers to help themselves.

    Each government department, institu-

    tion, company and individual now wants

    to use inormation in their own particular

    way. They want to apply their own lters,

    and they want to be able to download

    digital les with data that can be eas-

    ily extracted and loaded into their own

    systems. They want the data in a wide

    variety o ormats such as Excel, XML,

    XBLR, HTML and Open Oce. But they

    also want the inormation to be stamped

    with the ocial seal o ederal govern-

    ment approval.

    For example, the NIS publishes inorma-

    tion about business start-ups and bank-

    ruptcies in Belgium. An end user can goin and drill down and lter on the data,

    or example, to nd out detailed inorma-

    tion about start-ups and bankruptcies

    by locality in a particular sector such

    as hotels, restaurants and catering. He

    can then order the delivery o the same

    report on a monthly basis, in the ormat

    o his choice.

    We are delivering inormation that en-

    ables the ederal and regional govern-

    ments to understand, regulate and boostthe countrys economic perormance,

    says De Saer.

    For the most part, the inormation is

    provided reely on a sel-serve basis.

    External customers include large direct

    marketing companies, but more typi-

    cally they are people working in regional

    I eel we are at the

    oreront o a revolutionin the way IT unctionsin the public sector.

    Frank De Saer, CIO, BelgiumsFederal Public Service Economy

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    www.sas.com/cioinsightsP14|More government intelligence or less

    branches o government who need inor-

    mation to support policy decision mak-

    ing, and managers in companies who

    need to make investment decisions or

    support business strategy. The problem

    is that the inormation resides on various

    IT systems, and packaging it in meaning-ul ways is not always straightorward.

    Its many times easier and quicker than

    in the days when we relied on manual

    eort, but the more users see the pos-

    sibilities, the more sophisticated their

    demands, De Saer says.

    Rationalize and standardize

    De Saer believes that to deliver maxi-

    mum value, an Inormation and Commu-

    nications Technology department must

    ocus on its core business o deliveringinormation. It must also rationalize and

    standardize. He has reorganized the ICT

    department at the Federal Public Service

    Economy around three competence

    centers, each using standard sotware:

    Java or business-critical development,

    Microsot SharePoint or oce and

    document management, and SAS or

    business intelligence. We oered our

    users an inormed choice on business

    intelligence. Once they had made their

    choice, we standardized. SAS is the only

    BI sotware we used.

    The NIS now has a growing body o

    power users who not only extract data

    but combine data rom dierent sources,

    slice and dice it according to their lo-

    cal needs and oten enrich it with their

    own in-house data. We also decided

    to standardize on just one tool or these

    SAS more stableand secure

    According to De Saer, the NIS attached

    great importance to controlling and mini-

    mizing operational and technical riskswhen choosing and deploying a platorm.

    SAS was the only supplier to oer a com-

    pletely end-to-end integrated system, he

    emphasizes, including OLAP unctional-

    ity, comprehensive reporting capabilities,

    ETL, data integration and Web solutions.

    Other suppliers oered a collection o

    tools rom dierent vendors, requiring ad-

    ditional interacing eorts. The integrated

    SAS solution was technically superior and

    promised to be more stable, guaranteeing

    integrated security and metadata in boththe short and the long run.

    power users, says De Saer. That way

    we could ensure quality o support rom

    our BI Competence Centre. The tool they

    selected was SAS Enterprise Guide, a

    graphical interace that exploits the pow

    er o SAS and enables users to publish

    dynamic results in a Microsot Windowsclient application.

    Originally we oered less sophisticated

    options. But SAS Enterprise Guide has

    really unlocked the creativity o ou

    internal customers and is now the pre-

    erred choice or business analysts and

    statisticians alike.

    From civil servant to public

    services counsel

    De Saer believes business intelligenceand analytics are critically important

    to any organization that is trying to do

    more or less. With online business

    intelligence, you can outsource a lot o

    IT unctions in much the same way that

    banks outsourced transaction process-

    ing by outsourcing it to their customers

    So long as they have the right analytic

    sotware, our employees and customers

    can do more useul and creative things

    with inormation than my colleagues in

    ICT, or the simple reason that they know

    their own requirements best.

    Unleashing their creativity has helped

    transorm the employees at Public

    Service Economy rom the traditiona

    image o civil servants into proessiona

    advisors on all aspects o public services

    and government.

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    www.sas.com/cioinsightsMore government intelligence or less|P15

    ONLINE

    Global government transformations:

    www.sas.com/cio-transorm

    More SAS customers in the public sector:

    www.sas.com/ps-cust

    Statistics ofces around the world

    More than 75 dierent countries use SAS in their

    statistics oces or programs that range rom census

    analysis and government reporting to nancial plan-

    ning and resource planning. Continue reading to learnabout some o them.

    The Australian Bureau o Statistics uses SAS to

    ensure the integrity o data and statistical outputs

    across many divisions. John Preston, an Assistant

    Director in the Methodology Division says, Many

    o our collections have thousands o units a unit

    being an individual or business and with such a

    high number o records, SAS makes our tasks more

    ecient, especially as many o the procedures we require are already pre-programmed into SAS.

    Read more:www.sas.com/cio-abs.

    Statistisches Bundesamt, the German Federal Statistics Oce replaced older, non-portable mainrame programs with SAS products, including customized applications.

    The SAS solutions covered both our basic types o work short-term ad hoc analyses as well

    as periodic evaluation processes better than all other products available on the market.

    Read more:www.sas.com/cio-statisticsche.

    Statistics Denmark uses SAS to collect and analyze census data without knocking on

    doors or asking any questions. Instead o a traditional household-based census, Denmarks

    tallies are completely register-based. We run SAS on all o our systems and it plays a vital

    role in our processes, says Lars Thygesen, Director or User Services at Statistics Denmark.

    Read more:www.sas.com/cio-statisticsde.

    The US Census Bureau uses SAS to create person-level and household-level les or each US

    state and to merge records so analysts can look at components o a household. Next, analysts

    merge that data with geographical inormation so they can analyze by geographical hierarchy.

    Read more: www.sas.com/cio-uscensus.

    De Saer believes there is still some

    distance to travel on this mission. The

    new philosophy is that government intel-

    ligence belongs to the public. Our uture

    challenge is to do even more to unlock

    that asset through open services that

    acilitate collaboration between govern-ment, citizen and enterprises.

    Our philosophy is also to oer ull

    transparency and multichannel ac-

    cess, putting the customer in control.

    This approach accelerates innovation

    while reducing the burden on IT a win

    or everyone!

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    www.sas.com/cioinsightsP16|Make the most o your analytical talent

    Make the most o youranalytical talentTips or establishing an analytic center o excellence

    By Anne Milley, Senior Director o Analytic Strategy, SAS with Aiman Zeid, Senior Business Consultant at SA

    What is an analytic center

    o excellence?

    An analytic center o excellence is

    an internal organization that specically

    ocuses on promoting the use o analytics

    within an organization to achieve business

    objectives. It is a central point or:

    Developingandevolvingtheanalytic

    inrastructure.

    Promotingcollaborationandanalytic

    best practices.

    Drivinggrowth,costreductions

    and protability.

    The center is ultimately a means to sup-

    port strategy and operations through

    objective analysis. This organization

    or team o experts, must include repre-

    sentatives with business knowledge as

    well as analytical expertise. The team is

    permanent with well-dened roles and

    responsibilities; it is not a temporary

    group that gets called on an ad hoc basis

    to address a specic request requiring

    analytical resources. An initial, tempo-

    rary structure may be used as the rst

    phase to justiy moving to a permanent

    CoE team. The temporary structure may

    include virtual teams, outsourced services

    or other arrangements based on the spe-

    cic requirements o each organization.

    As the use o analytics in many sectors

    o the economy increases, business

    leaders are developing a greater ap-

    preciation or the value and power o

    analyzing data and making better deci-

    sions. Likewise, the advances in many

    types o analytical technologies have

    encouraged organizations to make more

    and better act-based decisions, validate

    assumptions and identiy root causes o

    business problems.

    However, a large percentage o organi-

    zations are still struggling with several

    aspects o using analytics, including how

    and where to start, how to take the next

    step and how to change their internal

    culture so that analytics becomes inte-

    gral to the decisions that matter most.

    Analytic centers o excellence (CoEs) can

    help organizations deal with these chal-

    lenges. Regardless o how much or howlittle analytic competency an organiza-

    tion may have, analytic centers o excel-

    lence provide a means to derive more

    value through greater insight and better

    decisions. Lets explore the structure and

    role o analytic CoEs, and the various

    organizational aspects that need to be

    considered to eectively deploy analytics

    in an organization.

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    www.sas.com/cioinsightsMake the most o your analytical talent|P17

    It is important to point out that there are

    many types o CoEs (also called com-

    petency centers or centers o expertise),

    depending on the ocus and scope.

    Some o the ocus areas or these

    teams include:

    Enterprise information manage-ment, which covers all aspects o

    inormation management across

    the organization.

    Dataintegration.

    Information delivery (reporting and

    perormance management).

    Analytics.

    Specic technologies,suchasSAS

    centers o excellence or ERP types

    o CoEs.

    Specicbusinessfunctions,suchas

    customer insight or nance CoEs.

    Analytic center o excellence tasks

    A well-implemented analytic CoE should

    be a permanent, ormal organizational

    structure (team) with support and spon-

    sorship rom executive-level managers.

    It should be owned and staed by the

    organization and include representation

    rom business, analytical experts and IT

    with well-dened ocus or roles, respon-

    sibilities and processes.

    Collaboration with all appropriate stake-holders is essential especially the IT

    and enterprise data warehouse (EDW)

    teams to infuence the structure o the

    current EDW environment in support o

    analytics and analytic best practices.

    The team should be committed to pro-

    viding and managing robust analytical

    development environments, including

    data marts, and to providing and man-

    aging processes to push results and

    decision-making logic to production/operational environments.

    It is important to structure the data and

    processes to acilitate the application

    o analytics, provide the appropriate

    level o governance (or repeatability,

    auditability, knowledge management,

    etc.) and enable closed-loop learning or

    continuous improvement.

    Build your A-team

    In data there is opportunity. However, a

    gap is growing between our vast data

    stores and the useul insights we can de-

    rive rom them. A generation ago we got

    the most out o what little data we had,

    comparatively speaking. Today were not

    always getting as much as we can rom

    our data. Succeeding with analytics is

    both a technical and organizational chal-

    lenge. Whats missing more oten than not

    is the person with the right combinationo skills who can translate data into intel-

    ligent and timely decisions.

    The Institute or Advanced Analytics at

    North Carolina State University was cre-

    ated in 2007 with a ocused mission to

    educate a new kind o analytics-savvy

    proessional. We listened closely to em-

    ployers and then custom-built an entirely

    new learning experience to address their

    needs. The result is the Master o Sci-

    ence in analytics (MSA), an innovative

    10-month proessional degree that com-bines technical knowledge o quantita-

    tive methods with teamwork and com-

    munication skills, as well as hands-on

    experience using industry-leading tools

    with real data rom sponsoring compa-

    nies. The MSA curriculum gives students

    the contextual understanding they need

    to apply analytics to real-world busi-

    ness problems.

    By Michael Rappa, Director, Institute

    or Advanced Analytics

    Learn more:analytics.ncsu.edu

    http://analytics.ncsu.edu/http://analytics.ncsu.edu/
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    www.sas.com/cioinsights

    The analytic CoE team should be

    responsible or the ollowing: Supportingandpromotingthe

    eective use o analytics within

    the organization.

    Developing andpromotinganalytical

    best practices to acilitate the identi-

    cation o analytical requirements (in-

    cluding new data sources and metrics

    to measure their eorts/contributions).

    Applyinganalyticstobusinessprob-

    lems, and more importantly, interpret-

    ing and distributing results.

    Educatingtheorganizationonthe

    importance o data quality.

    Fostering greater analytic compe-

    tency to support and guide more

    act-based and timely decisions in

    the pursuit o achieving organizational

    priorities and objectives.

    Using available analytical skills and

    resources to optimize their con-

    tributions to high-priority projects

    and problems.

    Graduallychangingthecultureofthe

    organization to always apply critical

    thinking and to demand the valida-

    tion o business assumptions and

    strategies. This includes ostering a

    learning culture one that encour-

    ages experimentation and provides

    permission to ail.

    Continuouslydevelopinganalytical talent.

    Currently, a large percentage o analytic

    centers o excellence can be describedas specialized, shared-service organiza-

    tions. These organizations receive re-

    quests rom the business community to

    apply analytics to solve problems. There

    is no question that these types o struc-

    tures provide value to the organization

    but they may not be able to change the

    internal culture without having a much

    closer connection and integration with

    the various business units where better

    decisions could be enabled.

    When used in an ad hoc way and without

    the right level o executive sponsorship

    these shared-service organizations are

    limited in their ability to have more lasting

    eects on the way decisions are made

    and the quality o those decisions.

    Making your analytic center o

    excellence strategic and eective

    The best implementations o analytic

    CoEs have these traits:

    Apartnershipwithbusiness

    stakeholders or ongoing success.

    High-levelexecutivesponsorship.

    Sufcientprominenceinthe

    organizational hierarchy to have

    visibility and impact.

    Areputationforprovenresults,excel-

    lent work ethic and ability to deploy

    results that aect decision making.

    Such strategic implementations will havethe highest chance o promoting wide-

    spread, analytically driven decisions and

    suracing new opportunities.

    P18|Make the most o your analytical talent

    Four dimensions o youranalytic inrastructure

    The application and eective use o

    analytics requires more than just tech-

    nology. In practice, technology is the

    easy part. The other challenging com-

    ponents are related to many aspects o

    the organization itsel. To achieve the

    greatest degree o success with analyt-

    ics, organizations have to consider the

    ollowing our critical components or

    dimensions o what ultimately compris-

    es the analytics inrastructure:

    Humancapitalandskills.

    Internalinformationandknowledge processes.

    Technologyinfrastructure.

    Organizationalculture.

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    www.sas.com/cioinsights

    ONLINE

    Analytic centers of excellence webcast:

    www.sas.com/cio-coecast

    Analytic centers of excellence white paper:

    www.sas.com/cio-coepaper

    All CoEs share many common compo-

    nents and characteristics: Sponsorshipandgovernance.

    Analyticsprogrammanagement.

    Datastewardship.

    Internalprocesses.

    Technologyavailability.

    Datamanagement.

    Informationdelivery.

    Infrastructuremanagement.

    This is a comprehensive list o all possible

    areas that may need to be addressed to

    ensure proper and eective implementa-

    tion o an analytic center o excellence.

    It is important to point out that not all o

    these unctions will be managed by the

    analytic CoE team. The point is to ensure

    that these topics are considered so they

    can be addressed. An assessment will

    evaluate how these areas are unctioning,

    and how to best use existing resourcesto enable the analytic experts to ocus

    primarily on solving business problems

    rather than other data management and

    quality challenges.

    Approaches or establishing

    an analytic CoE

    The objective o analytic centers o

    excellence is ocused on maximiz-

    ing the organizational benet rom the

    investment in data and analytics. Analytic

    centers o excellence, and any othertype o centers o excellence, are not

    one-size-ts-all. The ollowing key areas

    must be considered as organizations

    think about this valuable concept and

    about the approach to establishing an

    analytic CoE or their own environment:

    Degree o centralization versus

    decentralization. Many organization-al aspects need to be considered to

    determine the right approach. Some

    o these actors include the size o the

    organization, level o reach (global vs.

    local), the structure o the business

    units and technical and IT resources,

    the existing culture and level o col-

    laboration between groups, the distri-

    bution o analytical resources, etc.

    Executive support. The support

    rom an executive level is essential

    or empowering the analytic CoE to

    produce accurate, repeatable and

    timely results rom applying analyt-

    ics. Collaboration and discussion

    between groups are necessary in

    many cases to collect the require-

    ments and data to apply analyt-

    ics and, more importantly, to use

    the results in the decision-making

    process. Many successul applica-

    tions o analytics are promoted by

    the support o an executive in abusiness unit that has a clear vision

    and need to use analytics. Other im-

    plementations can have a broader

    scope to cover multiple business

    units or even the entire enterprise.

    The common requirement is to have

    high-level management support.

    Anne Milley works closely with Product Marketing,

    Product Management and R&D to drive SAS analytic

    marketing strategy and direction. She began working with

    SAS sotware while nishing her thesis on bank ailure

    prediction at the Federal Home Loan Bank o Dallas. She

    continued her use o SAS at 7-Eleven Inc. as a senior busi-

    ness consultant. Milley has a Master o Arts in economics

    rom Florida Atlantic University, did post-graduate work at

    Rheinisch-Westlische Technische Hochschule Aachen and

    is procient in German.

    Make the most o your analytical talent|P19

    Analytical skills. The availability o

    analytical resources, skill levels andresponsibilities are other critical ac-

    tors. These analytical resources

    clearly are needed to move orward

    However, there are options or orga-

    nizations to explore i these resources

    are not available, i they are too ew o

    i additional training is needed. Some

    o these options include outsourcing

    some or all the analytical work initially

    or working with SAS and other part-

    ners in a collaborative way to provide

    the initial resources while acquiringnew resources or training existing

    sta members.

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    www.sas.com/cioinsightsP20|Good news or retail CIOs

    Good news or retail CIOsBusiness analytics technologies are more than just a trend

    The last ew years have been hard o

    retailers. Sales are down and margins

    are tight. Consumers are saving, not

    spending and their expectations are

    changing. Theyre increasingly mobile

    and increasingly social online, so i you

    dont have the size, style or level o cus-

    tomer service they expect, their entire

    social circle may hear about it in writing

    But there is good news or retail CIOsIn an industry where technology has

    traditionally taken a back seat to ash-

    ions and trends, theres a newound

    interest in solving retailers most data-

    intense problems including purchas-

    ing, merchandising, markdowns and

    customer relationships with business

    analytics technologies.

    Read on to hear how three CIOs at

    well-known retail brands are using

    SAS to solve business problems and

    improve automation, collaboration and

    inormation visibility.

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    www.sas.com/cioinsightsGood news or retail CIOs|P21

    Accelerate ast ashion with SAS

    How can you ensure the right assort-

    ment o merchandise in the ideal mix

    o sizes at each store on a consistent

    basis? Ask The Wet Seal. This ast-ash-

    ion retailer o contemporary apparel and

    accessory items uses SAS Size Proling

    to transorm historical sales data into ac-

    curate projections o uture demand by

    size. Integrated with existing merchan-

    dising systems, it applies this intelligenceto purchasing and allocation workfows.

    The result is optimal, store-specic size

    proles that match local demand.

    According to Jon Kubo, Vice Presi-

    dent and CIO at The Wet Seal, the

    implementation had a tight deadline, but

    was delivered on time and on budget.

    SAS industry-experienced consultants

    delivered the solution in phases and

    were able to provide early improvements

    in size proling calculations.

    Because Wet Seal is a ast-ashion re-

    tailer, 85 percent o its products are not

    replenished. Size proling is important

    to us not only or buying the right size

    breaks, says Kubo, but also because

    we only get to buy a product once, with

    the objective o selling through it quickly.

    On the allocation side, we have to know

    what the correct sizes need to be per

    store. The Wet Seal is moving toward a

    localized, customer-centric approach to

    pricing, assortment and size at the local

    store level. Size proling is our rst step

    in doing that, says Kubo. In our market,

    this is where we will create growth and

    gain an advantage.

    According to Kubo, a key insight deliv-

    ered by the SAS Size Proling solutionis the ability to calculate lost sales at

    both the chain and store-specic levels.

    I a store didnt sell a particular product

    because it wasnt in stock, the SAS so-

    lution can eciently help The Wet Seal

    look at similar stores in a cluster and im-

    ply why the store might have made the

    same sale.

    The implementation had a tight dead-

    line, but was delivered on time and

    on budget, says Kubo. SAS industry-

    experienced consultants delivered

    the solution in phases and were able

    to provide early improvements in size

    proling calculations.

    Traditional business intelligence in retail

    has reached a plateau o useulness,

    Kubo says. We look or specialized ana-

    lytical applications that oer automated

    analytical capabilities, reducing the need

    or more human resources. SAS Size

    Proling is a good example o this. While

    most retailers rely on manual processes

    we look or technologies that augment

    our limited resources and help raise intel-

    ligence about our operations and make

    decisions on a more automated, ecien

    and statistical basis.

    Go global with SAS

    Steano Gaggion is the Senior Vice

    President and Chie Inormation Oce

    at Brooks Brothers, the oldest cloth-

    ing retailer in the US. Since introducing

    SAS, the companys inventory is bette

    managed, store managers have more

    accurate inormation, and personalized

    marketing campaigns are executed at a

    lower cost.

    SAS is a solid and fexible technology

    that is really a true enabler, says Gag-

    gion. Our business could double o

    triple in the next ve years, and we wil

    have no technical limitations with SAS.

    In recent years, the company has

    taken its unmatched reputation o

    tradition, value and high quality overseas

    opening stores in places like Shanghai

    Toronto and Hong Kong. The challenge

    Traditional business intelligence in retailhas reached a plateau o useulness. Welook or specialized analytical applications

    that oer automated analytical capabilities,reducing the need or more human resources.SAS Size Proling is a good example o this.

    Jon Kubo, Vice President and CIO at The Wet Seal

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    www.sas.com/cioinsightsP22|Good news or retail CIOs

    or executives is to replicate the BrooksBrothers reputation or excellent quality

    while juggling the demands o a global

    supply chain and retail operations spread

    over our continents.

    The answer is to empower store manag-

    ers and vendors to better manage the

    business. Store managers receive key

    reports, provided through SAS, to help

    them nd opportunities to improve store

    perormance and customer satisaction.

    The retailer also collaborates with vendor

    manuacturing partners to give them

    an accurate view o sales and demand,

    beneting both sides o the supply chain

    resulting in having the right merchan-

    dise in the right stores at the right time.

    The retailer has even used SAS to help

    its charitable endeavors. Brooks Broth-

    ers supports the St. Jude Childrens

    Research Hospital. To encourage sales

    associates to solicit donations duringits annual Thanks and Giving campaign,

    the company tracked perormance daily

    through SAS. Donations increased by

    50 percent and the perormance data

    helped keep sales associates energized.

    The company chose SAS because it can

    grow with Brooks Brothers in scale,

    business results and business capabili-

    ties. SAS helps us maintain our level o

    eciency, collaboration and inormationvisibility across our global business,

    Gaggion says.

    Campaign success with SAS

    Retailers have invested heavily in loyalty

    programs over the past decade, with the

    hopes o analyzing customer data and

    segmenting customers to oer just the

    right discount coupon to one customer,

    or the catalog with the perect mix o

    goods to another.

    In reality, ew retailers have success-

    ully mastered that level o segmentation.

    Instead, the customer data is gathered,

    but unused. Or its periodically shipped

    to a vendor who takes weeks to prepare

    a campaign list. Thats the scenario that

    Chicos FAS Inc. aced. The Fort Myers,

    FL-based company operates more than

    1,000 boutiques throughout the US, US

    Virgin Islands and Puerto Rico under the

    Chicos, White House | Black Market andSoma brands. The boutiques eature

    chic jackets, sophisticated tops, elegant

    dresses, jewelry and more. The com-

    pany also markets to consumers through

    catalog and online channels.

    We couldnt automate processes, there

    were a lot o operational ineciencies, it

    was infexible and we were using low-

    level tools. It led us to look at dierent

    ways to operate our campaign manage-ment, explains Chie Inormation Oce

    Gary King.

    But that all changed with SAS OnDe-

    mand: Marketing Automation. Chicos

    soon saw validation or its SAS deci-

    sion ease o use became apparent in

    speed to results. The company now seg-

    ments catalog mailings and dierentiates

    promotion eorts or maximum impact

    Trendsetting customers receive dieren

    catalogs than discount shoppers, and

    online customers receive e-mails geared

    to their buying habits.

    Other improvements include midpromo

    tion corrections so Chicos can quickly

    change its promotional strategies i

    rst attempts arent working. Plus, the

    retailer is bringing lapsed customers

    back to Chicos.

    The dierence or the campaign team isnight and day, says King. We are able

    to turn around programs much more

    quickly. A campaign takes our days to

    pull together versus 30 days prior to us-

    ing SAS. This has allowed the team to

    create more targeted campaigns.

    Plus, the impact o the analysis Chicos

    has derived rom SAS has delighted

    executives. Our executives are so ex-

    SAS is a solid and fexible technology that

    is really a true enabler. Our business coulddouble or triple in the next ve years, and we

    will have no technical limitations with SAS.

    Stefano Gaggion, Senior Vice Presidentand CIO, Brooks Brothers

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    www.sas.com/cioinsightsGood news or retail CIOs|P23

    ONLINE

    Brooks Brothers success:

    www.sas.com/cio-brooksbros

    Chicos success:

    www.sas.com/cio-chicos

    The Wet Seal success:

    www.sas.com/cio-wetseal

    The dierence or thecampaign team is nightand day A campaigntakes our days to pulltogether versus 30 daysprior to using SAS. Thishas allowed the teamto create more targetedcampaigns.

    Gary King, CIO, Chicos

    How should retail CIOsthink about analytics?

    Speakers on a recent retail industry panel

    made a strong case or using analytics

    to put customers at the center o the

    retail business.

    Jim Bacos, Director, Retail and Consumer

    Goods Practice o Oliver Wyman, cau-tioned that successul analytics projects

    are hard work, can take years to ully

    implement and typically require change

    throughout the organization but most

    retailers simply must make the eort.

    The old way o doing work and the old

    way o being successul is becoming

    more and more extinct.

    Bacos encouraged large retailers in par-

    ticular to look beyond expansion and in-

    creasing store space, and ocus instead

    on small, incremental changes that when applied to thousands o SKUs and

    billions o transactions can really add up

    to make a dierence.

    Giles Pavey, Head o Analysis at

    dunnhumby, told a story o a grocer who

    made a risky decision to keep budget-

    conscious customers happy. When the

    executives noticed its stores were los-

    ing sales to other low-cost retailers, they

    launched a range o 600 store-branded

    discount products. Initially, the move

    cannibalized sales and total revenuewent down. But the loyalty aect over

    time has shown the long-term results to

    be positive.

    This story illustrates another o Paveys

    points regarding the importance o mea-

    suring results: You should measure the

    results o changes you do and really un-

    derstand where youre doing things right,

    says Pavey.

    cited about the insights they are gainingabout the customer, where she shops

    and the department that brought her

    into the brand. It was an incredible

    moment to partner with the marketing

    managers and watch the work come to

    lie, says Charlie White, Vice President o

    Customer Relationship Marketing.

    Its all about the customer

    In retail, perhaps more than any other

    industry, its all about the customer.

    The best retail CIOs understand this

    act. Whether youre implementing an

    on-demand solution to reduce inventory

    or an on-site implementation to improve

    merchandising, the ocus should always

    be on the customer. Continue to ask,How will reduced inventories and bet-

    ter merchandising help the customer?

    Keeping your best customers in mind will

    help to ensure that analytics technolo-

    gies are more than just a trend at your

    company too.

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    www.sas.com/cioinsightsP24|How to transition IT rom cost center to value center

    How to transition IT romcost center to value centerData integration and language translation bring eciencies

    A company whose product is inorma-

    tion should regard its IT department as

    its actory foor, the place where in-

    novation happens and customer value

    is produced. Yet many IT organizations

    in these companies struggle to make

    the transition rom cost center to value

    center because they are mired in time-

    consuming operational processes, many

    o them manual, that add little perceived

    value. As credit bureau Emcredit discov-ered, however, it is possible to turn that

    situation around with the right sotware

    solutions and automated processes.

    Emcredit is the rst credit bureau in the

    United Arab Emirates (UAE) and enjoys

    ocial status in the Emirate o Dubai,

    Data: the backbone o the business

    Emad Khatib, Emcredits CIO, real-

    izes every day that the bureaus repu-

    tation depends on providing accurate

    inormation on bank customers. His

    main responsibility is to take data rom

    multiple operational sources and turn

    it into high-quality inormation that is

    easily available in the right ormat. Data

    is the backbone o our business, so i

    we dont have these processes undertight control, we will not succeed, says

    Khatib. In addition, Emcredit must iden-

    tiy genuinely bad risks while reducing

    the number o consumer disputes to

    the absolute minimum. You dont want

    consumers and businesses challenging

    a decision that was made on the basis

    Now our employees only intervene when there is anerror or an alert, and in the meantime we have retrained

    them to ocus on customer outreach and other tasksthat are more rewarding or them, and more protable

    or Emcredit. This has enabled us to transition theIT department rom a cost center to a value center.

    Emad Khatib, CIO, Emcredit

    meaning that banks are mandated to

    deal with Emcredit. Certied to inter-

    national inormation security standards

    (ISO 27001), Emcredit obtains a wealth

    o data rom a variety o sources: banks,

    nancial institutions and government

    agencies. Like all credit bureaus around

    the world, its mission is to assist its cli-

    ents in maintaining healthy relationships

    with customers while managing credit

    risk. It does this by providing inorma-tion, reports and decision support tools

    that improve their clients evaluation

    o customer lie cycles. However, un-

    like most credit bureaus, Emcredits

    scope is very broad: Emcredit provides

    a 360-degree view o both commercial

    and consumer customers.

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    www.sas.com/cioinsightsHow to transition IT rom cost center to value center|P25

    o inaccurate data, such as an incorrectdate o birth, explains Khatib. This re-

    fects badly on our customers, which, in

    turn, refects badly on Emcredit.

    When it was in its start-up phase, Em-

    credit relied on manual processes to

    extract raw data in a specic ormat,

    which meant a lot o back-and-orth

    discussions with the providers about

    how and when the data could be de-

    livered: ater all, as commercial and

    government agencies, these providershad their own internal priorities; an ex-

    ternal credit agency would have to wait

    its turn.

    Being based in the Gul region, Emcredit

    aced an additional challenge. Much o

    the data was in Arabic and, moreover,

    many o the systems generating the data

    ran in Arabic. Consequently Emcredit

    had to translate inormation into English

    and then back-eed it into data tables. In

    act, it was a little more complex than that.

    The margin o error was high because

    rst we had to determine i the inorma-

    tion was in proper Arabic and i it could

    be translated into English, says Khatib.

    Only ater translation could the data be

    cleansed, validated, standardized and

    merged also manually beore it was

    nally stored and moved into production.

    Accelerated data acquisition

    Emcredit knew that its uture successwould require it to accelerate the data

    acquisition process while reducing op-

    erational costs. It could only do this by

    automating key processes such as the

    identication, extraction and transla-

    tion o Arabic data and data validation.

    Above all it had to minimize the eort

    required rom the data source providers,

    on whose goodwill Emcredit depended.

    Emcredit selected SAS to integrate -nancial and personal data rom multiple

    providers and to standardize it in a single

    specic le ormat. The company con-

    sidered several vendors, but SAS scored

    highest on the three key criteria o peror-

    mance, accuracy and scalability. SAS not

    only met our immediate criteria but also

    scored highest when we considered our

    long-term objectives, explains Khatib.

    Previously we had no choice but to deal

    with dierent ormats or each separateprovider. Each bank would have its own

    specic rules or data validation and

    matching. SAS provided a data ormat

    that was fexible enough to accept all di-

    erent source providers ormats without

    requiring manual intervention. Moreover,

    we can add urther commercial data

    sources without any signicant eort.

    A platorm or more rewarding work

    SAS could also recognize Arabic tokens,

    which is not a straightorward process (in

    Arabic, dierent tokens can be used or

    words with the same meaning) and ull

    string names (such as the ull legal en-

    tity name o a company, as opposed to

    the commercial name). Beore Emcredit

    translates anything through its inter-

    nal translation team, it matches terms

    against the hundereds o thousands o

    records in Emcredits dictionary. I any

    tokens do not nd a match, these are

    sent to the translation team and the newterm is added to the SAS dictionary, thus

    progressively diminishing the amount o

    human intervention required.

    We have eliminated many manual

    processes but this does not mean we

    have reduced our headcount, says

    Khatib. Instead, the SAS implemen-

    tation has enabled us to ocus on

    value-adding activities.

    Previously, we had three ull-time em-ployees permanently sitting in ront o a

    computer screen, working on integra-

    tion- and translation-related tasks. Now

    our employees only intervene when there

    is an error or an alert, and in the mean-

    time we have retrained them to ocus on

    customer outreach and other tasks that

    are more rewarding or them, and more

    protable or Emcredit. This has enabled

    us to transition the IT department rom a

    cost center to a value center.

    The SAS implementation has greatly in-

    creased our data coverage because we

    can acquire data at a much aster pace

    We are also moving data much aste

    rom staging to production, which means

    that the inormation we provide to ou

    customers is more up to date. SAS has

    also improved our validation rules and

    processes, which has raised the qual-

    ity o our data, providing a signicantly

    higher hit rate when our customers are

    looking or data matches.

    Improved data quality is a huge ben-

    et that goes to the heart o Emcredits

    business proposition: to provide banks

    and other clients with accurate credit

    inormation. Khatib concludes, This

    enables our clients to make quick and

    air decisions, minimizing disputes and

    helping them to build more protable

    customer relationships.

    ONLINE

    Data quality blog:

    www.sas.com/cio-dblog

    Data Prep 101 Webcast:

    www.sas.com/cio-dataprepcast

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    www.sas.com/cioinsightsP26|Running IT as a business

    Running IT as a businessSeven steps to aligning IT with the business

    By Kate Morton, Global Practice Manager or Costing and Proftability, SAS Australia

    Seven steps to aligning IT with

    the business

    The massive growth in IT over the past

    decade has moved it rom being a back-

    oce support unction to a critical busi-

    ness unit. IT now ranks among the top

    ve expenditures o most companies.

    CIOs have to show how the money is

    spent, the returns they are getting or

    their investments, and how IT is driving

    corporate perormance. This increased

    role requires ocus, vision and, above

    all, transparency into services, costs,demand, processes and impact on cor-

    porate perormance.

    Cost management and transparency

    For the CIO to compete or resources,

    the IT unction needs to operate as a

    business within a business providing

    valuable services to the rest o the orga-

    nization. The CIO must eectively edu-

    cate the organization and provide clearly

    articulated and relevant cost inormation.

    A detailed understanding o the cos

    within the IT business provides clear and

    positive advantages to the CIO and the

    wider organization:

    Ensuringoptimalresourceallocation

    to areas o greatest value.

    Moreeffectiveallocationofresources

    to areas o need.

    ReducingcomplexitywithinITand

    simpliying internal processes.

    Moreinformedbudgeting

    (capital and operating) and pricingo new projects.

    GreaterunderstandingofITcapacity

    and ability or delivery.

    AbilitytolinkITinvestmentsto

    overall organizational benets.

    Facilitatingpracticesandtoolssuch

    as total cost o ownership (TCO) and

    return on investment (ROI).

    The benefts o aligningIT with the business

    Improvemanagementcontrol.

    Understandandcommunicatethenancial and non-nancial value oeach IT project and operation.

    Complywithlegislativerequirements.

    ReallocateITresourcestoprojectso most importance to the business.

    FacilitatetheeliminationofITprojects that are not delivering.

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    www.sas.com/cioinsightsRunning IT as a business|P27

    The importance o chargeback

    It is dicult to maximize returns rom IT

    when the product appears to be ree to

    customers. Ideally, IT operates as a ser-

    vice provider with a catalog o products

    and services that are aligned with cus-

    tomer needs and corporate goals. For

    this, IT needs:

    Accuratepricingforitsservicesthat

    refects the cost to provide them.

    Anunderstandingofwhatdrivesboth demand and cost.

    Anequitable,repeatableand

    accurate method to track and invoice

    customers based on their usage o

    the services.

    Toencourageend-useraccountability

    or the return on investments.

    Cost control is the greatest benet that

    comes rom IT chargeback. Gartner

    research has shown that these costsavings oten exceed 15 percent in the

    rst year, rom reduced demand and

    smarter service use, and SAS has seen

    these results refected in its customers

    across the world.

    Chargeback gives clear transparency

    into the benets and the value that IT

    brings, and the impact on the bottom line

    means better relationships with the rest

    o the organization.

    Budgeting and planning

    IT nancial management processes are

    oten resource-intensive, involving the

    manual collection o nancial data that

    is scattered across the enterprise. With

    a lack o data to support accurate ore-

    casts, the resulting budget is oten based

    on political biases.

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