gartner - cisco analytics coe april 2014 - final

© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1Cisco Confidential 1

Mark Sherwood, Naznin Shroff, Gregory Lewandowski

April 1, 2014

From Basement to Board Room…

Creating a Relevant & Autonomous Analytics CoE

© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 2

Agenda

Introduction

Governing Body

Analytics CoE

Lessons Learned

Q&A


Introduction

Mark SherwoodSenior Director

Global Business Services Business Intelligence & Analytics

Naznin ShroffSenior Manager

Innovation, Performance Management & Analytics CoE

Gregory LewandowskiSenior Manager

Analytics CoE & Data Visualization (@lewandog)


Mark SherwoodSenior Director, GBS BI

Introduction


Cisco designs, manufactures, and sells networking and other products related to the communications and information technology industry worldwide.

John Chambers’ (CEO) stated goal is to be the #1 IT company in the world

Cisco Systems Inc.


Rapid Data Growth Leads to BI Challenges

Custom BI solutions propagating within functions1

BI skills dispersed in pockets throughout the enterprise2

Inconsistent tools, processes, and approaches being used 3

Data multiplying in silos in offline tools and systems4

Business Intelligence

Engineering

MarketingSales

Finance

Supply Chain

Human Resources

InformationTechnology


Journey to Analytics Excellence

Business Intelligence organization formed under

CFO

Business Intelligence organization

moved to COO

Integrated functional and

regional teams to optimize

operational efficiencies

Corporate Initiative

Create Global Shared Services Organization in

Operations

Corporate Initiative

Business Intelligence under the spotlight

Vision Analytics is differentiator and driver of

growth for Cisco

2009 2012 2013


Global Business Service – Business Intelligence

Vision: Accelerate Cisco’s competitive advantage by understanding the past, managing the present, and changing the future.

Enterprise information

management, data quality, architecture,

policy & governance

Governance

CoE for analytics and innovation, including data visualization

Analytics CoE

Establish and cultivate strategic relationships with

business functions

Customer

Data supply chain, solutioning

& execution of delivery services

Delivery


Naznin ShroffSenior Manager, Innovation, Performance Management & Analytics CoE

BI and Analytics Governing Body


Genesis: BI and Analytics Governing Body

Early Foresight: No mantle of authority

LATE 2011

The Perfect Storm: X-Functional alignment issues for Co. KPI’s

OCT 2012

Formed interim cross-functional Steering Committee

Expand formal governing body Charter and Structure

Robust Collaboration: Crisis resolved

MAR 2013 JUL 2013

Longer Term Opportunity: To steer the BI/Analytics strategic direction for Cisco

Operational cadence established

MAR 2014

Val

ue

Maturity


SV

Ps

& V

Ps

Scope & Charter for Governing Structure

Steering Committee • Provide direction and sponsorship for company wide Business Intelligence priorities • Actively promote data driven decision making• Hold Operating Body accountable to commitments; serve as escalation authority.

Participation level: Sustaining 80+% active participation across high profile leaders of the Co. for over 6 Quarters

Quarterly cadence

Sr.

Dir

ec

tors Operating Committee

• Execute on direction from Steering Committee• Drive cross functional priority alignment• Facilitate change management & adoption

Monthly cadence

Steering Committee and Operating Body as Governing Structure.Representation across all business functions


The Results!

• Raised prominence for BI and Analytics at Cisco

• Passionate Sr. leaders across functions steering direction for the Enterprise

• Change culture and drive Enterprise transformation mindset

• Yielded prioritization of key BI / Analytics initiatives across Cisco – Analytics CoE among TOP 5

Analytics CoE

1

Corporate Hierarchies; Master Data Management

& Governance

2

Application Consolidation &

Governance

4New Business

Models Enablement

3

Relationship Management

(Customer, Partner, Supplier, Employee)

5Top BI /

Analytics Priorities


Gregory LewandowskiSenior Manager, Analytics CoE & Data Visualization

Analytics Center of Excellence


Data Supply Chain

Governance

Analytics Community

Interpret & Disseminate

Results

Foster Innovation

& Drive Culture

Shift

Attract & Retain

Analytical Talent

Branding value of

Analytics

Analytics Vision: What the CoE DrivesAccelerate Cisco’s competitive advantage by understanding the

past, managing the present, and changing the future V


Data Supply Chain

• Create a process for delivery of “analytics ready” data

• Dream state:

1 page online request

24-48 hour turn-around for delivery

• Manage analytics platforms

• Extract, transform, load

• Cleanse & profile data [to a point]


Analytics is only as good as the data – Trust in data quality is paramount

Governance

Certified Data

The Analytics CoE will consume data from approved sources

Data Stewards

Leverage data stewards as subject domain experts

SafeguardWork closely with data governance team if new policies and/or access criteria is needed


Analytics Community

• Established early credibility through DataViz community

• Carry this over for Analytics CoE

• Resource for industry best practices and up-leveling skills and techniques

• Virtual Community – bring together the multitude of Analytics teams within Cisco


Repeatable Process for Data Analytics

Data AnalyticsProcess

Model Building

Operationalize

Model Planning

Discovery

Frame business problem, anticipated outcomes & value.

Assess data requirements and acquire data within

sandbox.

Deliver final reports and documents and implement

models in production environment.

Develop data sets for testing, training &

production. Run test through model.

Communicate Results

Data Prep

Identify key findings, quantify business value and create executive summary.

Perform initial data analysis and formulate

hypothesis.


Foster Innovation & Drive Culture Shift

Drive change mindset across Cisco towards

analytics

Increase risk taking – Fail fast and fail often,

learn, move on

Provide opportunities for internal

development

Drive and reward disruptive innovation

Incorporate industry perspective and

outside-in thinking

Leverage contemporary tools


Analytical TalentDefine Needs & Team Composition

Develop & Retain

Discover, Attract & Source

Define Roles


Leverage Multiple Means to Increase AwarenessInternal & External Events, Industry Participation, Online Community

Maximum Return on InvestmentCost Optimized, Repeatable Model for Scalability & Process Improvement

Relationships & Expert SkillsHigh-Touch Client Relationship Management, Business Acumen and Technical Capabilities in a Single Team, Strong Vendor Strategy

Tangible ValueMake Money, Save Money, Make Business Partners Happy

Branding Value of AnalyticsDrive focus towards Analytics to accelerate Cisco’s competitive advantage


Deliver on Value Promise

Source: Facebook Analytics Team (Ken Rudin)

Business Benefits

Move a Metric

Change a Behavior / Process

Change a Product / Service

Protect or Increase Revenue

Increase Profitability

Drive Efficiencies – Speed of Business

Provide Competitive Advantage


Lessons Learned

Must be able to show value along the way

Be prepared to find the unexpected

Speed is essential – get started now

Fail Fast, Fail Often, Learn &

Move On

Analytics Leads to Better Questions

Change is hard – Business relationships are critical to success


TOMORROW starts here.

gartner - cisco analytics coe april 2014 - final

Documents

cisco confidential

cisco andor

cisco designs

cisco operational cadence

data quality

spotlight vision analytics

data driven decision

used3 data multiplying