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    IBM Software

    Thought Leadership White Paper

    June 2010

    Data governance for geographicalinformation systems

    Maximize the value of GIS data with IBM InfoSphereFoundation Tools and IBM InfoSphere Information Server

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    2 Data governance for geographical information systems

    Contents

    2 Introduction

    3 Geographic information systems: Analytics in action

    4 InfoSphere Information Server: A unified foundation for

    information architectures

    7 The InfoSphere Information Server architecture

    9 InfoSphere Information Server and GIS touch points

    16 Integrating InfoSphere Information Server and GIS with

    other software components

    18 GIS solutions in the real world

    20 Building trustworthy data with IBM software

    IntroductionDuring the past two decades, government agencies across the

    world have made a significant investment in information.

    Agencies of all types are using enterprise resource planning

    (ERP) software, supply chain management packages and cus-

    tomer relationship management (CRM) solutions, molding

    these information tools in a nearly endless variety of combina-

    tions to better serve their constituents.

    Agencies are also taking advantage of innovations for gather-

    ing and processing information. These technologies are a mix

    of the familiar and the new: Service-oriented architectures

    (SOAs), Web services, XML, grid computing and radio

    frequency identification (RFID). One technologygeographic

    information system (GIS)holds particular promise for agen-

    cies. A GIS links nearly any type of data with spatial and loca-

    tion information, enabling agencies to see and analyze the

    real-world dimensions that their information inhabits.

    For government agencies, this is a powerful promise; by some

    estimates 80 percent of all agency data has some type of spatial

    or location component. For example, agencies can use GIS

    tools to easily plot census, traffic or commerce data onto

    maps, uncovering geographic trends that might otherwise

    be missed.

    But while this new world of information brims with possibili-

    ties, agencies face serious challenges managing the tremen-dous amounts of data being generated. The sheer volume of

    data, combined with changing laws and regulations, can make

    it difficult to integrate multiple systems and turn the data

    into consistent, timely and accurate information for decision

    making.

    IBM InfoSphere Information Server can help agencies

    derive more value from complex, heterogeneous information.

    It helps business users and IT personnel collaborate to under-

    stand the meaning, structure and content of information

    across a wide variety of sources. With IBM InfoSphere

    Information Server, users can access and use information in

    new ways to drive innovation, increase operational efficiency

    and reduce risk.

    InfoSphere Information Server can also help agencies maxi-

    mize the value of a GIS by creating a gateway between the

    system and data sources that may have been previously inac-

    cessible. Using InfoSphere Information Server in conjunction

    with a GIS enables an agency to enrich and leverage spatial

    information in new ways and provide new perspectives on old

    issues.

    This white paper provides an overview of InfoSphere

    Information Server with an emphasis on how InfoSphere

    Information Server and InfoSphere Foundation Tools can be

    used in conjunction with GIS. It begins with a brief discussion

    of GIS, including the primary GIS vendors, followed by an

    overview of InfoSphere Information Server and InfoSphere

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    3IBM Software

    Foundation Tools components and capabilities. It will also

    show how GIS data sources can be analyzed, transformed and

    enhanced with InfoSphere Information Server and InfoSphere

    Foundation Tools, providing references to complementary

    software from IBM and third parties. The paper also provides

    examples of how the capabilities can be used to help agencies

    and organizations achieve their missions.

    Geographic information systems:Analytics in actionMaking electronic maps is probably the most well-known use

    for GIS, but there are plenty of other potential uses. Strictly

    defined, GIS is a computer system capable of capturing, stor-

    ing, analyzing and displaying geographically or spatially

    referenced information; in other words, data that is referenced

    by a spatial or physical location of some kind. Another way of

    describing GIS is to refer to it as software that links geograph-

    ical data (in the form of coordinates) to descriptive (also

    known as tabular) data, making it possible to analyze the rela-

    tionship between geographic data and its descriptive/tabularelements.

    Data in a GIS can exist in one of two basic formats: Vector

    and raster. Vector data consists of points, lines and polygons

    defined by geographic coordinates. Raster dataan image that

    covers a range of points where each pixel corresponds to a

    geographic location and has an associated valueis usually

    represented as a georeferenced picture or photo. A GIS can

    integrate those two format types as data layers or themes and

    can also link the vectors or images to descriptive or tabular

    data, producing a complete geospatial representation.

    GIS also helps users anticipate future outcomes by depicting

    regression analysis for forecasting future events and processes.

    This analytical capability is what separates a true GIS from

    digital mapping.

    The ability of GIS to manage, correlate, predict, model and

    share geographic information makes GIS an essential analyti-

    cal tool. But due to the specialized nature of the technology,

    and the additional training required to master the systems,GIS is frequently segregated by agencies into well-defined

    departments or shops. GIS departments are often viewed by

    other agency segments as an organizational black box, with

    staff that takes in mapping requirements and data; performs a

    series of complicated, esoteric machinations; and then returns

    the desired map.

    But with so much agency data having a spatial or location

    component, agencies are realizing that GIS analysis can pro-

    vide unique and invaluable insight, and are looking for ways to

    share that resource more broadly across their organizations.

    The challenge is that most agency data is not stored in the

    GIS, but in ERP systems, CRM solutions, relational databases

    and other repositories scattered across the organization, some-

    times in legacy applications, systems and formats.

    Regardless of the format or source, if data has a spatial or

    location component, it can be mappedand InfoSphere

    Information Server can help organizations create gateways

    between traditional data sources and GIS resources. Using

    InfoSphere Information Server in conjunction with a GIS

    can help an agency enrich and leverage spatial information in

    new ways.

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    4 Data governance for geographical information systems

    GIS software providers

    Many companies provide GIS software and applications;

    the largest is Environmental Systems Research Institute

    (commonly known as ESRI; www.esri.com), a privately held

    software company headquartered in Redlands, California.

    According to ESRI, their software is used by more than

    300,000 organizations worldwide, including most U.S.

    Federal agencies and national mapping agencies, andmore than 24,000 U.S. state and local government

    agencies.

    The ranks of GIS software providers also include compa-

    nies such as Intergraph, MapInfo, Bentley and Autodesk.

    Regardless of the provider, virtually any database associ-

    ated with a GIS can be enhanced by InfoSphere

    Information Server.

    InfoSphere Information Server: A unified

    foundation for information architecturesToday, critical agency and business initiatives cannot succeed

    without effectively integrated information. Initiatives such as

    single view of the constituent/customer, business intelligence

    (BI) and supply chain management require consistent, com-

    plete and trustworthy information. If the information cannot

    be trusted or doesnt meet their needs, end users will either

    stop using a system for information or may create local copies

    of the data on a spreadsheet. Those additional versions and

    extracts of the data result in the central organization losing

    control of valuable information.

    IBM InfoSphere Information Server is designed to provide acomprehensive, unified foundation for enterprise information

    architectures. It can scale to meet growing information

    volume requirements, enabling companies to quickly deliver

    high-quality business results. InfoSphere Information Server

    supports a variety of initiatives:

    Business intelligence: InfoSphere Information Server

    makes it easy to develop a unified view of the business for

    better decisions. It helps users understand existing data

    sources; cleanse, correct and standardize information; and

    load analytical views that can be reused throughout theagency. IBM provides a BI system through IBM Cognos

    software. Master data management (MDM): InfoSphere

    Information Server helps simplify the development of

    authoritative master data (creating a golden record) by

    showing where and how information is stored across source

    systems. It also consolidates disparate data into a single, reli-

    able record; cleanses and standardizes information; removes

    duplicates; and links records across systems. This master

    record can be loaded into operational data stores, data ware-

    houses or master data applications. The record can also be

    assembled, completely or partially, on demand. Infrastructure rationalization: InfoSphere Information

    Server helps reduce operating costs by showing relationships

    between systems and by defining migration rules to consoli-

    date instances or move data from obsolete systems. Data

    cleansing and matching ensure high-quality data enters the

    new system.

    Agency transformation: InfoSphere Information Server

    can speed development and enhance agency agility by pro-

    viding reusable information services that can be plugged

    into applications, business processes and portals. Those

    standards-based information services are maintained cen-

    trally by information specialists, but are widely accessible

    throughout the enterprise and can also be accessed by other

    authorized agencies/entities.

    http://www.esri.com/http://www.esri.com/
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    5IBM Software

    Risk and compliance: InfoSphere Information Server helps

    improve visibility and data governance by enabling com-

    plete, authoritative views of information with proof of line-

    age and quality. Those views can be made widely available

    and reusable as shared services, while the rules inherent in

    them are maintained centrally.

    Data warehousing: InfoSphere Information Server can

    help create data warehousing and data mart applications.

    These are applications where data is offloaded from a trans-actional system and reorganizedusually for analytical or

    reporting purposes.

    Server, application and database consolidation:

    InfoSphere Information Server can help consolidate struc-

    tured data sources contained in applications to support the

    reduction of the number of physical servers, applications and

    databases.

    Migrations: InfoSphere Information Server is frequently

    used during database or application migrations. While

    updating applications or during lengthy procedures such as

    ERP implementation, InfoSphere Information Server can be

    used to migrate data between legacy systems and ERP mod-

    ules, or to provide temporary connectivity between legacy

    systems and implemented ERP sections during migration.

    InfoSphere Information Server capabilities

    InfoSphere Information Server combines a variety of

    IBM information integration technologies. Together, they

    enable organizations to investigate and understand their data;

    cleanse and certify it; and then transform and deliver it as a

    fully trusted resource to systems across the agency or enter-

    prise (see Figure 1).

    Figure 1: InfoSphere Information Server enables businesses to performthree key functions: Gain an understanding of data, cleanse data and inte-

    grate data.

    Parallel processing

    Metadata

    repository

    Cleanse

    Standardize,

    merge and

    correct

    information

    Understand

    Discover, model

    and govern

    information

    structure and

    content

    Integrate

    Combine,

    restructure,

    synchronize

    and move

    informationfor delivery

    Datasources

    $330,646.21

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    Head count

    Customer acquisition

    Avg yield per customer

    Express

    Targets

    Understand your information with IBM InfoSphere

    Foundation Tools

    For an organization to effectively integrate data, it must first

    establish a clear picture of what data it has, where the data

    resides and its overall condition. InfoSphere Foundation

    Tools, which are part of InfoSphere Information Server, can

    help organizations automate data profiling and data-quality

    auditing to:

    Understand data sources and relationships

    Eliminate the risk of using or proliferating bad data Improve productivity Leverage existing IT investments

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    6 Data governance for geographical information systems

    InfoSphere Foundation Tools help agencies collaborate across

    user roles. Data analysts can use the analysis and reporting

    functionalities to generate integration specifications and busi-

    ness rules that can be monitored over time. Meanwhile, sub-

    ject matter experts can use Web-based tools to define,

    annotate and report on fields of agency data. The common

    metadata foundation makes it easier for different types of users

    to create and manage metadata by using tools that are opti-

    mized for their roles.

    InfoSphere Foundation Tools enable organizations to capture

    and organize business metadata, provide modeling capabilities,

    assist in the translation of business rules into transformation

    processes and analyze data lineage by leveraging metadata.

    Components of InfoSphere Foundation Tools

    InfoSphere Information Analyzer

    InfoSphere Business Glossary

    InfoSphere Business Glossary AnywhereInfoSphere Data Architect

    InfoSphere FastTrack

    InfoSphere Discovery

    InfoSphere Metadata Workbench

    Cleanse your information

    The InfoSphere QualityStage component of InfoSphere

    Information Server supports information quality and consis-

    tency by standardizing, validating, matching and merging data.

    With InfoSphere QualityStage, organizations can certify andenrich common data elements, use trusted data such as postal

    records for name and address information and match records

    across or within data sources. InfoSphere Information Server

    allows a single record to survive from the best information

    across sources for each unique entity, helping you to create a

    single, comprehensive and accurate view of information.

    Integrate your data

    InfoSphere Information Server helps organizations transform

    and enrich information to ensure that it is in the proper con-

    text for new uses. It includes hundreds of prebuilt transforma-

    tion functions for combining, restructuring and aggregatinginformation. For example, InfoSphere Information Server

    provides in-line validation and transformation of complex data

    types, and high-speed joins and sorts of heterogeneous data. It

    also provides high-volume, complex data transformation and

    movement functionality that can be used for stand-alone

    extract, transform and load (ETL) scenarios, or as a real-time

    data processing engine for applications or processes.

    InfoSphere Information Server data integration tools

    InfoSphere DataStageInfoSphere Change Data Capture

    InfoSphere Federation Server

    InfoSphere Classic Federation Server

    InfoSphere Information Server enables organizations to

    virtualize, synchronize and move information to the people,

    processes or applications that need it. Information can be

    delivered by using federation, time-based or event-based pro-

    cessing, moved in large bulk volumes from location to location

    or accessed in places when it cannot be consolidated.

    InfoSphere Information Server also provides direct, native

    access to a wide variety of information sources, both main-

    frame and distributed. It enables access to databases, files,

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    7IBM Software

    services and packaged applications, as well as to content repos-

    itories and collaboration systems. Companion products from

    IBM support high-speed replication, data synchronization and

    distribution across databases, change data capture capabilities

    and event-based publishing of information.

    The InfoSphere Information Server

    architectureInfoSphere Information Server provides a unified architecture

    that supports all types of information integration through

    common services, unified parallel processing and unified meta-

    data (see Figure 2). To ensure its availability across an organi-

    zation, it employs an SOA; the SOA also connects the

    individual components of InfoSphere Information Server.

    CleanseUnderstand Transorm Deliver

    Common connectivity

    Unifed parallel processing

    Common services

    Structured Unstructured Applications Mainframe

    Unifed metadata

    D es ig n O pe ra ti on al

    Metadataservices

    Unifed servicedeployment Security services

    Logging andreporting services

    Analysis interace

    Unifed user interace

    Web admin interaceDevelopment interace

    Figure 2: InfoSphere Information Server connects to a wide range of datasources and includes a unified parallel processing engine, a metadata

    repository and a host of shared services.

    Unified parallel processing engine

    At the heart of InfoSphere Information Server is a unified par-

    allel processing engine that handles everything from analysis

    of large databases for InfoSphere Information Analyzer to data

    cleansing for InfoSphere QualityStage and complex transfor-

    mations for InfoSphere DataStage. The parallel processing

    engine delivers outstanding performance, enabling organiza-

    tions to handle more data more quickly. Benefits of the engine

    include:

    Parallelism and data pipelining to complete increasing vol-

    umes of work in decreasing time windows Scalability support to add hardware (for example, processors

    or nodes in a grid) with no changes to the data integration

    design Optimized database, file and queue processing to handle

    large files that cannot fit in memory all at once or large

    numbers of small files

    Common connectivity

    InfoSphere Information Server connects to informationsources whether they are structured, unstructured, applications

    or on the mainframe. Metadata-driven connectivity is shared

    across the InfoSphere Information Server components, and

    connection objects are reusable across functions. Connectors

    provide design-time importing of metadata, data browsing and

    sampling, runtime dynamic metadata access, error handling

    and high functionality and high-performance runtime data

    access. Prebuilt interfaces for packaged applications called

    packs provide adapters to SAP, Siebel, Oracle and other

    applications, enabling integration with enterprise applications

    and associated reporting and analytical systems. In some cases,

    you can extract specialized metadata associated with those

    sources.

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    8 Data governance for geographical information systems

    Unified metadata

    InfoSphere Information Server is built on a unified metadata

    infrastructure that enables shared understanding between

    business and technical domains. This infrastructure helps

    reduce development time and provides a persistent record

    that can improve confidence in information. All functions of

    InfoSphere Information Server share the same metadata

    model, making it easier for different roles and functions to

    collaborate.

    A common metadata repository provides persistent storage for

    all InfoSphere Information Server suite components, all of

    which use the repository to navigate, query and update meta-

    data. The repository contains four types of metadata:

    Technical, business, dynamic and operational.

    Technical metadata is information about the format of the

    data, such as the tables that are present, the attributes of

    those tables, how many characters wide a particular attrib-

    ute may be and when the data was last updated.

    Business metadata can include a wide range of information

    about data usage, such as the owner or steward of a piece of

    data, the intended use of the data and definitions for

    acronyms or domain values. Dynamic metadata includes design-time information. Operational metadata includes performance monitoring, audit

    and log data and data profiling sample data.

    Because the repository is shared by all suite components,

    profiling information that is created by InfoSphere

    Information Analyzer is instantly available to users of other

    InfoSphere Information Server productssuch as InfoSphere

    DataStage and InfoSphere QualityStage. The repository is a

    Java 2 Platform, Enterprise Edition (J2EE) application

    that uses a standard relational database such as IBM DB2,

    Oracle or Microsoft SQL Server for persistence (DB2 is

    provided with InfoSphere Information Server). Those data-

    bases provide backup, administration, scalability, parallel

    access, transactions and concurrent access.

    Common services

    InfoSphere Information Server is built entirely on a set of

    shared services that perform core tasks. Design, execution andmetadata functions are all available as shared services:

    Design: Design services help developers create function-

    specific services that can be shared. For example, InfoSphere

    Information Analyzer calls a column analyzer service that

    was created for enterprise data analysis but can be integrated

    with other parts of InfoSphere Information Server because it

    exhibits common SOA characteristics. Execution: Execution services include logging, scheduling,

    monitoring, reporting, security and Web framework,

    enabling organizations to manage and control all compo-

    nents from a single interface. Metadata: Using metadata services, metadata is shared

    live across tools so that changes made in one InfoSphere

    Information Server component are instantly visible across all

    of the suite components. Metadata services are tightly inte-

    grated with the common repository and are packaged in

    InfoSphere Metadata Server.

    The common services layer manages how services are

    deployed from any of the product functions, allowing cleans-

    ing and transformation rules or federated queries to be pub-

    lished as shared services within an SOA, using a consistent and

    easy-to-use mechanism. This can help organizations pursuing

    SOA-centric architectures by exposing data integration, feder-

    ation or cleansing processes directly to an SOA rather than

    requiring a separate integration layer.

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    Unified user interface

    InfoSphere Information Server provides a common graphical

    interface and tool framework that makes it easy for organiza-

    tions to access the full power of the solution. Shared interfaces

    such as the InfoSphere Information Server console and the

    Web console provide a common look and feel, visual controls

    and user experience across products, making it possible to

    reduce training time and helping to simplify overall

    administration.

    Common functions, such as catalog browsing, metadata

    import, query and data browsing, all expose underlying com-

    mon services in a uniform way. InfoSphere Information Server

    provides rich client interfaces for highly detailed development

    work and thin clients that run in Web browsers for adminis-

    tration. Application programming interfaces (APIs) support a

    variety of interface styles, including standard request-reply,

    service-oriented, event-driven and scheduled task invocation.

    This provides a flexible range of capabilities to meet different

    users specific needs, while also ensuring a standard look and

    feel throughout product interfaces.

    InfoSphere Information Server and GIS

    touch pointsThere are a number of touch points where InfoSphere

    Information Server capabilities can be used almost immedi-

    ately out of the box with GIS data. They fall into three cate-

    gories: Understanding data, cleansing data and integrating/

    delivering data. The capabilities can be used either in unison

    or separately, but all of them utilize the same integrated

    InfoSphere Information Server architecture (see Figure 3).

    InfoSphere Metadata Workbench

    Targets

    $330,646.21

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    Head count

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    Avg yield per customer

    Express

    InfoSphere InformationServices Director

    Parallel processing

    Metadata

    repository

    CleanseUnderstand

    InfoSphereInformationAnalyzer

    InfoSphereBusinessGlossary/BusinessGlossary

    Anywhere

    InfoSphereDiscovery

    InfoSphereData Architect

    InfoSphereQualityStage

    Integrate/delivery

    InfoSphereDataStage

    InfoSphereFastTrack

    InfoSphere

    FederationServer

    InfoSphereChange Data

    Capture

    Datasources

    RDBMS

    ERP

    Application

    Mainframe

    Flat files

    Webservices

    Technical metadata Business metadata Operational metadata

    ODBCFTPAPI

    Figure 3: InfoSphere Information Server comprises many products spreadover several touch points.

    GIS data quality

    Understanding the actual quality, content and structure of data

    is an important first step to make critical business decisions.

    Overall data quality depends on many factors, such as correct

    data types, consistent formatting, retrievability and usability. If

    the structure and content of your data is poor, then queries of

    that data will be incomplete, organizations will be unable to

    make informed decisions and business users will learn to be

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    or boundaries of the data, information about the source and

    capture method, time period when the data was captured, geo-

    graphical reference/projection, stewardship and normal display

    characteristics. Access to GIS metadata allows users to better

    determine if a given data set will work for the intended map or

    spatial analysis, or if another data set should be found or cre-

    ated. Access to GIS metadata also helps agencies find more

    opportunities for sharing existing data sets, rather than devot-

    ing time and resources to create a new set for each purpose.

    Within a more general scope (both inside and outside of the

    GIS venue), metadata allows users to determine the availabil-

    ity and usefulness of data sets. They have a shared and

    accepted definition of what a given term means, and can then

    link that accepted definition to a database, database attribute

    or another IT asset. Without a common definition and

    accepted master record, it is much more likely that users will

    either use different data sources or create their own, causing

    version control problems and creating distrust of some orga-

    nizational data sources.

    The problem of distrust is common in the business world. For

    example, in a meeting with a number of HR professionals

    from a government agency, the group was asked what their

    head count was. But the agency had five different definitions

    of what their head count actually was, depending on whether

    the tally included funded full-time equivalent positions. In

    government terms, a full-time equivalent position may be

    filled by a single, full-time employee or by two or more part-

    time employees; part-time, temporary and intern workers;

    personnel on temporary duty, full-time employees only or

    employees currently receiving benefits. Each definition cre-

    ated a different data set, all were in use and the head-count

    number varied depending on who was asked.

    It is almost impossible to determine where data comes from

    and whether or not the data can be trusted under such condi-

    tions. In many cases, if users dont trust the data, they will

    copy the data to a spreadsheet and massage it for their own

    purposeswhich results in inaccurate data being used to run

    the organization.

    Many of the InfoSphere Information Server components

    create and share metadata in a very transparent fashion, with-out requiring further effort from developers. InfoSphere

    QualityStage and InfoSphere DataStage developers can build

    jobs for data quality, cleansing and data integration, creating

    operational data in the process. For example, developers using

    InfoSphere QualityStage and InfoSphere DataStage can also

    read or develop notes and annotations to their processes for

    collaborationdocumenting what an analyst may have cre-

    ated, or simply creating notes on how a process worksthen

    share those notes with other users and interfaces. Analysts

    using InfoSphere Information Analyzer to look at the contents

    of data sources not only develop technical metadata in the

    process of connecting to data sources, but can also create

    notes about what results to share with job developers.

    InfoSphere Business Glossary and InfoSphere Business

    Glossary Anywhere

    To create business metadata, link business metadata to IT

    assets and disseminate metadata to users, organizations use

    InfoSphere Business Glossary and a companion product called

    InfoSphere Business Glossary Anywhere. In the example of

    the HR department with multiple ways to count their total

    staff, it would enable the user community to collaborate on

    the official definition for the term head count, where that

    information is stored, descriptive usage information and the

    data steward or owner for the term.

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    12 Data governance for geographical information systems

    InfoSphere Business Glossary provides a Web-based tool for

    creating and managing standard definitions of business con-

    cepts. Through InfoSphere Business Glossary, users work col-

    laboratively to share and build common understanding to

    create a classification system that is tailored to an organiza-

    tions specific needs and structure. InfoSphere Business

    Glossary helps simplify the task of managing, browsing and

    customizing the broad variety of metadata that is stored in the

    repository of InfoSphere Metadata Serverthe critical detailsabout tables, columns, models, schemas, operations and other

    components of the data integration process.

    Within InfoSphere Business Glossary, metadata is organized

    into categories, each of which contains terms. Users can use

    terms to classify other objects in the metadata repository based

    on the needs of your organization. You can also designate

    users or groups as stewards for any metadata object.

    For users, InfoSphere Business Glossary becomes an elec-

    tronic data dictionary, providing an easy-to-comprehend

    way to navigate the metadata that keeps the entire organiza-

    tion speaking the same language. InfoSphere Business

    Glossary helps business users:

    Develop a common vocabulary between business and

    technology:A common vocabulary allows multiple users to

    share a common definition of the meaning of data. Users

    can assign categories and terms that are meaningful in an

    organizational context, and create a hierarchy of categories

    for ease of browsing.

    Take part in data governance and stewardship activities:

    Data assurance programs assign responsibility to businessusers (data stewards) for the management of data through its

    life cycle.

    Find business information that is derived from

    metadata:Metadata helps users to understand the meaning

    of the data, its currency, its lineage and who the data

    owner is. Access metadata without complicated tooling and

    querying:Metadata objects can be arranged in a hierarchi-

    cal fashion to simplify browsing of the data objects. Provide collaborative enrichment of business metadata:

    Maintaining business metadata is an ongoing process: Datainputs evolve and business users collaborate and add notes,

    annotations, categories and synonyms to enrich the meta-

    data. InfoSphere Business Glossary provides a tool for

    recording those definitions and for relating business con-

    cepts together into taxonomies. This places the business

    requirements into the same metadata foundation used by the

    profiling and analysis processes.

    InfoSphere Metadata Workbench

    InfoSphere Metadata Workbench is an interface that analysts

    and developers can use to discover and analyze relationships

    between information assets in the metadata repository. Itenables users to understand, analyze, audit and manage the

    flow of data throughout their organization.

    InfoSphere Metadata Workbench provides IT professionals

    with a design-time tool for managing and understanding the

    assets generated and used by InfoSphere Information Server.

    It also permits registration of outside processes (such as

    COBOL programs) to be documented within the metadata

    flow. By providing data lineage reports and analysis,

    InfoSphere Metadata Workbench supports IT professionals

    who are responsible for compliance and governance initiatives

    (such as Sarbanes-Oxley Act compliance). It also provides for-

    ward and backward impact analysis that displays the impact of

    proposed changes to information management environments.

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    13IBM Software

    InfoSphere Metadata Workbench helps analysts

    and developers:

    Explore information assets that reside in the metadata

    repository of InfoSphere Information Server

    Perform simple and advanced asset search and querying

    See information assets in the context of the entire organi-

    zation with integrated cross-suite viewing capabilities

    Create graphical views of asset relationships/flows Analyze dependencies and relationships of key InfoSphere

    Information Server assets and BI reports

    Trace lineage from jobs and databases to Cognos or other

    BI reports

    Understand columns, tables and other assets

    Perform lineage analysis to understand where data comes

    from or goes to by using shared table information, job

    design information or operational metadata from job runs

    Perform impact analysis to understand dependencies and

    the effects of changes to a column or job across

    InfoSphere Information Server

    Analyze operational metadata from job runs and report

    on rows written and read, and on the success or failure

    of events Manage InfoSphere Information Server metadata to obtain

    in-depth analysis reports

    Create and edit descriptions of information assets

    Assign glossary terms to information assets

    Reconcile duplicate assets

    Map databases to database aliases

    Access runtime information to enrich reporting

    As an example of how InfoSphere Metadata Workbench can

    help enhance operational effectiveness, consider a military

    readiness dashboard application with geographical elements

    that highlight the location of military assets and their current

    readiness level. Data is displayed using a variety of maps

    (with color codes to show asset location), gauges and tables.

    While the dashboard provides a valuable high-level view, a

    commander might want to know more about a particular

    readiness metric. In this case, InfoSphere Metadata

    Workbench can be used to quickly show that officer the data

    feeds and processes used to generate that particular metric,

    enabling the officer to evaluate the validity of the metric with-

    out deep technical knowledge.

    Figure 4 showcases the various software components collec-

    tively known as InfoSphere Foundation Tools.

    Technical metadata

    Business metadata

    Operation metadata

    InfoSphere BusinessGlossary/BusinessGlossary Anywhere

    Robust data dictionary,common definitions,establish stewardship,links from terms to datasources/objects

    InfoSphereInformation Analyzer

    Understand whatis actually containedin database fields: null,duplicates, formaterrors, etc.

    InfoSphereData Architect

    Database, GIS andGIS metadata datasource modeling

    InfoSphere Information Server metadata repository

    Nonspatial

    Spatial (specifically tabular)

    InfoSphereMetadata Workbench Metadata lineage and impact analysis

    Figure 4: GIS metadata management is enabled through IBM InfoSphereFoundation Tools, which provide a direct interface for discovering, gather-

    ing and exploiting metadata.

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    14 Data governance for geographical information systems

    Modeling GIS data and metadata

    InfoSphere Data Architect (IDA) helps organizations discover

    the structure of heterogeneous data sources by examining and

    analyzing the underlying metadata, and it assists in modeling

    planned data sources/migrations. IDA uses established

    Java Database Connectivity (JDBC) connections, enabling

    the users to explore existing data structures using native

    queries and easily browse the hierarchy of data elements.

    With IDA, users develop data models that can be incorporated

    into a data integration project at a source and a target level.

    IDA can create logical, physical and domain models for a vari-

    ety of relational database sources. Elements from logical and

    physical data models can be visually represented in diagrams

    using Information Engineering (IE) notation; alternatively,

    physical data model diagrams can use the Unified Modeling

    Language (UML) notation. InfoSphere Data Architect enables

    data professionals to create physical data models from scratch,

    from logical models using transformation or from the database

    using reverse engineering.

    IDA also enables modelers and architects to define and imple-

    ment standards that help increase data quality and enterprise

    consistency for naming, meaning, values, relationships, privi-

    leges, privacy and traceability. Standards can be defined once

    and associated with diverse models and databases, helping to

    improve efficiency and consistency. IDA also includes extensi-

    ble, rules-driven analysis that verifies compliance to naming,

    syntax, normalization and best-practices standards for both

    models and databases.

    Finally, IDA can import and export logical and physical data

    models from other modeling tools, making it possible to take

    advantage of existing data models wherever they appear,

    reducing the amount of time needed to translate models into

    data objects.

    Discover business objects hidden within data

    Data from multiple heterogeneous sources is often related in

    ways that are not immediately obvious. It may also contain

    sensitive information that is not clearly identified. This can

    create difficulties for agencies working to integrate GIS into

    their broader organization, as data analysts may be unfamiliar

    with the types of data traditionally managed by a separate GIS

    department.

    Uncovering these hidden relationships and categorizations is

    critical to the success of any data integration or governance

    project. However, identifying and documenting an organiza-

    tions data, as well as identifying relationships, business objects

    and transformational logic between data sources, is not always

    a straightforward process. InfoSphere Discovery automates

    this process through heuristics and sophisticated algorithms,

    helping organizations accelerate data integration and gover-

    nance projects, while achieving greater accuracy with less risk.

    Cleansing GIS tabular data

    As organizations grow, they retain old data systems and aug-ment them with new and improved systems as goals and needs

    evolve. Over time, data becomes increasingly difficult to find,

    manage and use, decreasing the likelihood that users can

    quickly make accurate decisions based on up-to-date,

    trusted data.

    The cost of poor data quality is illustrated in the following

    scenarios:

    A military readiness application contains incorrect and out-

    dated data, so military officers cannot correctly grasp their

    readiness to deploy and operate in a hostile environment

    potentially risking lives, equipment and mission success. A data error in a bank causes hundreds of creditworthy cus-

    tomers to receive mortgage default notices. The error costs

    the bank time, effort and customer goodwill. A marketing organization sends duplicate direct mail pieces;

    redundancy in each mailing costs hundreds of thousands of

    dollars a year.

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    15IBM Software

    Data quality issues spring from many sources, but can often be

    traced back to one of three common themes:

    A lack of common standards or instructions for storing data Inconsistent data entry Poor or decentralized control over key organizational data

    InfoSphere QualityStage is a data reengineering environment

    that is designed to help organizations cleanse and enrich data.The solution includes a set of testing stages, design tools for

    specifying matches between data, and additional features that

    combine to create a development environment for building

    data-cleansing tasks.

    Using the stages and design components, developers can

    quickly and easily process large stores of data, selectively

    transforming the data as needed. InfoSphere QualityStage

    provides a set of integrated modules for common data reengi-

    neering and cleansing tasks:

    Investigating

    Conditioning (standardizing) Designing and running matches Determining which data records survive (survivorship)

    With probabilistic matching capabilities and dynamic weight-

    ing algorithms, InfoSphere QualityStage helps agencies create

    high-quality, accurate data and consistently identify core busi-

    ness informationsuch as customer, location and product

    throughout the organization. InfoSphere QualityStage

    standardizes and matches any type of informationincluding

    information from disparate data sources, and all types ofconstituent/customer, product and tabular GIS data, either in

    batch or at the transaction level in real time.

    Integrate GIS data with nontraditional GIS data

    InfoSphere Information Server can be used to extend the data

    sources traditionally available to GIS by integrating GIS data

    with data formats that normally arent readable by a GIS

    with or without additional transformations. Nontraditional

    GIS data could be in a mainframe, in a flat file, in a Web serv-

    ice, in an ERP system or in an applicationor in any combi-

    nation of these locations.

    For example, a state department of transportation system

    might contain contractor transaction work-order data in a

    mainframe database, and may have department financial

    information contained in a relational database or application.

    The GIS may have tabular information including a work-

    order number, while the work-order mainframe data contains

    a work-order contractor number and task order and the

    relational data has a contractor number and task order.

    InfoSphere Information Server could join the relational data

    to the mainframe data based on contractor and task order

    data, and join the combined information to the GIS tabular

    information to allow further insight into contractor perform-ance on a spatial/geographic basis.

    In the event that spatial transformations are required,

    InfoSphere Information Server components can work in con-

    junction with FME Server, a specialized spatial ETL product

    from Safe Software. FME Server integrates directly with

    InfoSphere DataStage and by proxy with the other compo-

    nents of InfoSphere Information Server to perform specialized

    spatial transformations.

    With a wide range of data integration and analysis capabilities,

    InfoSphere Information Server opens the door to an equally

    wide range of GIS projects, from simply analyzing GIS tabular

    data to integrating and analyzing GIS data from more conven-

    tional data sources.

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    16 Data governance for geographical information systems

    Extending GIS capabilities with InfoSphere Information

    Server and other IBM software

    InfoSphere Information Server works with other IBM soft-

    ware components, such as IBM Cognos and IBM SPSS, to

    help agencies extract even more value from their GIS systems.

    Organizations can integrate and augment the investments that

    they have already made in people, processes and technology

    by integrating data sources in new ways and providing more

    organizational insight into data.

    Here are a few examples of how extending a GIS with

    InfoSphere Information Server can help organizations derive

    additional value from their GIS investments:

    Data modeling and metadata modeling: GIS data (or

    data to be integrated with GIS data) can be modeled using

    InfoSphere Data Architect as a modeling tool. InfoSphere

    Data Architect is also a convenient gateway for planning and

    modeling potential linkages of GIS data to traditional data-

    base sources. This helps users better understand exactly

    what relationships exist between GIS and non-GIS datasources, and how those relationships can be leveraged for

    both existing and planned/future sources. Integrated metadata management: GIS metadata can be

    stored and managed within the construct of the InfoSphere

    Information Server metadata repository. This allows organi-

    zations to have a better shared understanding of their GIS

    data. In addition, applied use of the metadata repository in

    conjunction with other InfoSphere Information Server

    products, such as InfoSphere Metadata Workbench,

    InfoSphere DataStage and InfoSphere QualityStage, offers a

    window into data lineage, quality and governance. This

    gives users a high level of trust in the data by showing where

    data comes from, when it was updated and what kinds of

    transformations took place to modify, transform or

    augment it.

    GIS metadata query/flag/mine/retrieve: Storing GIS and

    non-GIS metadata can be done using InfoSphere Metadata

    Server and can currently be queried with InfoSphere

    Business Glossary. Theoretically, organizations can also

    make map-layer retrieval much more interactive for users

    dealing with large numbers of spatial layers. A query inter-

    face (which could be a search engine or an ad hoc query

    interface) could be combined with a writeback mechanism to

    the metadata to speed the map production process. In thisscenario, users could type in search terms for their mapping

    requirements. Those search terms could be applied against

    spatial metadata entries, score the metadata based on what

    users have found useful for mapping, retrieve the appropri-

    ate spatial metadata and provide a checkbox next to each

    entry. Users would then check the layers they wanted to use

    to generate a map and click a submit button. The selected

    layers would be flagged, and the flag would be written back

    to the metadata to indicate that a user had selected this data

    layerhelping to improve future queries of the metadata.

    The selection would also be passed to the GIS interface

    (which could be a GIS or a simple spatial viewer) for cre-

    ation of a baseline map.

    Integrating InfoSphere Information Server

    and GIS with other componentsWhile InfoSphere Information Server is designed to provide

    the data integration architecture for an organization, and a

    GIS would provide spatial analysis capabilities, there are addi-

    tional products that can be used to optimize organizational IT

    investments. These capabilities exist in bolt-on, off-the-shelf

    products such as analytics, data mining and BI applications

    (see Figure 5).

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    17IBM Software

    Data mining/pattern detectionTraditional data sources

    Native API

    ODBC

    Web service

    FTP

    Spatial data sources

    ESRI Geodatabase

    Oracle spatial

    DB2 spatial

    Tabular

    Data profiling

    Data cleansing

    Data transformation/

    enrichment

    Parallel processing

    Integrated metadata

    Spatial ETL (SAFE software FME)

    InfoSphere Information Server

    Metadata repository

    SPSS

    Scheduled reports

    Ad hoc reporting

    Scorecard/metrics

    Graphs/charts

    Trending

    IBM Cognos

    Cognos + ESRI arcGIS

    Server + SpotOn

    Geographical

    Business Intelligence

    (GBI)

    SpotOn Vantage

    $330,646.21

    $0 $440K

    Head count

    Customer acquisition

    Avg yield per customer

    Express

    Figure 5: InfoSphere Information Server connects to data mining applications, analytics applications and BI applications to extend the use and reach oftrusted enterprise information.

    Spatial ETL: FME ServerFME Server (www.safe.com) can be used to extend InfoSphere

    Information Server via InfoSphere DataStage, forming it into

    a scalable spatial ETL platform. This enables spatial data

    managers to quickly meet diverse data access requirements,

    permitting specialized data-conversion processes specific to

    the GIS arena. FME Server offers flexible spatial data services

    that help users convert, load and distribute large volumes of

    data so end users can access it where, when and how they

    need to.

    FME Server brings the power of Safe Softwares proven spatial

    data translation, transformation and integration technologyfrom FME Desktop to enterprise server environments,

    enabling organizations to take advantage of flexible spatial

    data distribution and scalable data loading and conversion

    features.

    With FME Server, organizations can address diverse spatialdata requirements for:

    Web-based spatial data access: Downloading and

    streaming Scalable data consolidation: Loading and migration Online quality assurance: Spatial data uploading and

    validation Server-based spatial data conversion:Translation and

    transformation

    Advanced statistics, analytics and data mining: SPSS

    SPSS, an IBM company, helps organizations find and imple-ment new sources of competitive advantage through predictive

    analytics. When analytics are inserted into key business

    processes, better decisions are made and the best actions are

    taken on a consistent, repeatable basis.

    http://www.safe.com/http://www.safe.com/http://www.safe.com/
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    18 Data governance for geographical information systems

    SPSS provides predictive analytics and data mining technolo-

    gies that can be used to add predictive intelligence to any data

    integration and/or BI solution. These capabilities can further

    extend GIS by providing superior analytical capabilities com-

    pared to plain vanilla GIS. Advanced statistics, analytics

    and data mining can be included in a hybrid InfoSphere

    Information ServerGIS in a grey box fashion, using an

    InfoSphere Information Server component to deliver data to a

    model/algorithm developed in SPSS. SPSS then runs the datathrough the model/algorithm, and enriches the data. The

    enriched data can be fed back into InfoSphere Information

    Server for further processing and movement to a data ware-

    house, data mart or other location where it can be presented

    through a BI interface.

    BI: IBM Cognos

    BI is a common interface or front end for any data integration

    project, allowing users to view and query data for a variety of

    purposes. IBM Cognos 8 BI delivers the complete range of BI

    capabilities: reporting, analysis, dashboarding and scorecards

    on a single SOA. Users can create, share and use reports thatdraw on data from virtually any combination of data sources

    via InfoSphere Information Server.

    Reporting gives users access to a list of self-serve report

    types. It is adaptable to any data source and operates from a

    single metadata layer to provide benefits such as multilingual

    reporting, ad hoc query and scheduling and bursting. Analysis enables the guided exploration of information that

    pertains to all dimensions of your business, regardless of

    where the data is stored. You can analyze and report against

    online analytical processing (OLAP) and dimensionally

    aware relational sources. Dashboards communicate complex information quickly.

    They translate information from various corporate systems

    and data using gauges, charts and other graphical elements

    to show the relative health of your organization. Scorecarding features align your business units and tactics

    with strategy, providing the ability to communicate goals

    consistently and monitor performance against targets.

    Linking BI to GIS: SpotOn

    SpotOn Vantage (www.spotonsystems.com) extends

    IBM Cognos BI by seamlessly integrating with geospatial ana-

    lytic capabilities from ESRI ArcGIS Server. Organizational

    data can easily be presented in a geographic manner alongside

    tabular and chart formats without the need for custom devel-

    opment. Users can navigate and interact with ESRI maps and

    Cognos report objects without leaving their current view.

    Information flows between map and report while the userretains a single unified view. Information is presented synchro-

    nized and in context, with high-impact and easy-to-understand

    visualizations.

    SpotOn Vantage can:

    Embed live, interactive, high-impact maps within Cognos

    reports Develop additional map layers in ESRI with business data

    from Cognos reports Provide multidirectional interaction that allows freedom of

    analysis: Dashboard interaction, map-to-report, report-to-

    map, map-to-map, map-based prompting, drill down, drill

    through and so on

    Finally, it is important to note that there are additional meth-

    ods for displaying geospatial data via a simplistic spatial view-

    ing interface such as Google Earth. However, those viewers

    lack the capability to provide analysis capabilities as presented

    in a GISthey are designed as a display mechanism and lack

    many spatial analytical capabilities.

    GIS solutions in the real worldThe following examples illustrate solutions that employ acombination of GIS, InfoSphere Information Server and

    IBM software components.

    Biosurveillance/food supply surveillance

    The earlier that food supply contamination incidents can be

    detected, located and quarantined, the more lives can be saved

    A biosurveillance or food supply surveillance solution must be

    http://www.spotonsystems.com/http://www.spotonsystems.com/http://www.spotonsystems.com/
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    19IBM Software

    capable of integrating data from multiple heterogeneous

    sources, including GIS systems, hospitals, healthcare centers,

    doctor offices and pharmacies. Most healthcare facilities use

    an ICD-10 (International Standard of Diseases and Related

    Health Problems) code for patient diagnosis or symptoms. By

    monitoring diagnostic codes from healthcare facilities, a sys-

    tem can look for different combinations of codes that may

    indicate conditions of interestfood poisoning or unusual

    medical symptoms that might indicate a terrorist attack.Searching for a particular pattern may be done via statistical

    analytics or data mining algorithms provided by IBM SPSS,

    and the data scored to test the likelihood that a particular

    record may be of interest. If the data scores high enough, an

    alert can be generated and sent to the appropriate authority.

    The system could also be used to track natural disease occur-

    rences as well, such as influenza outbreaks. If a historical base-

    line of data is present, it allows monitoring to determine what

    is normal for a given region, time of year or weather condi-

    tion and what may indicate an outbreak of interest to health

    officials. This type of information could be displayed in a

    Cognos dashboard (to show where diseases are below normal

    thresholds and where there may be outbreaks occurring), as

    well as spatially analyzed within a GIS for simple mapping

    purposes or to determine the origin or potential spread of a

    disease.

    Departments of Transportation

    Departments of Transportation (DOTs) usually have massive

    amounts of disparate data: GIS information for roadway maps

    and engineering/construction projects; asset management and

    tracking systems for construction and maintenance equipment;

    video information on pavement conditions in linear referenc-

    ing systems (LRS); financial, budgeting and contracting infor-

    mation; work orders that may be in 20-year-old legacy systems

    and so on.

    In most cases, this information is kept in separately designed

    and siloed systems and sources. As a result, it may contain

    many redundancies and overlaps, making it difficult for

    cials to query their data or use data in the most efficient way

    possible. In turn, it becomes difficult to answer questions for

    political officials or taxpaying constituents in an effective and

    timely manner.

    InfoSphere Information Server and other IBM software com-

    ponents, such as Cognos and SPSS, can help DOTs create an

    overarching information architecture to provide faster access

    and more accurate information, increasing efficiency and pro-viding greater taxpayer value.

    Military readiness

    Military readiness activities typically involve combining and

    leveraging complex and disparate data sources, many of which

    are completely isolated from each other. These data sources

    may contain GIS information on where different military

    assets are located, as well as more conventional data on sup-

    plies, logistics, asset management, manpower and critical skills

    information.

    For example, supply and logistics systems provide informationon systems and parts availability and location. If integrated

    with supplier data, a point-of-view may be developed where

    inventory replenishment and pipeline can also be determined.

    Combining that with shipping information (associating a

    RFID or other tracking system) can further determine parts

    inventory availability.

    Asset management is another example: It requires tracking the

    location of completed or deployed systems. For the Navy, it

    might be a ship; for the Air Force, a radar system or delivery

    platform; for the Army, troop carriers or main battle tanks.

    Battlefield commanders are typically interested in the location

    of their assets, the collection of availability of those assets and

    the readiness of assets for deployment, relocation or use.

    Manpower information is also concerned with not only where

    billets may be assigned, but also who is filling that billet, what

    skills that person has (if they are fluent in Arabic, for example)

    and where that person is currently located.

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    Please Recycle

    With InfoSphere Information Server, all of those information

    sources can be combined to deliver commanders a better view

    of their operational environment. As an example, as part of an

    operational deployment, a high-level commander may want to

    move a squadron of AH-64 Apache helicopters from the conti-

    nental U.S. to a desert locationa much harsher environment.

    The burn rate on many mechanical parts, such as turbine

    blades and other engine parts, goes up in such environments.

    Data on how much the burn rate increases can be modeled

    and compared to existing parts inventories as well as antici-

    pated replacement schedules. This information can then be

    used to determine if and when additional orders need to

    be placed to ship additional parts, or if additional parts need to

    be built.

    From a manpower perspective, personnel/billet location can

    be combined with skills and compared against mission plans to

    determine the availability of personnel with the critical skills

    needed to complete a particular mission. In turn, that informa-

    tion can be combined with logistical and spatial/positional

    information and presented to a regional commander through a

    dashboard, scorecard and/or reports. This gives the com-

    mander a much more cohesive and complete picture of asset

    location and readiness, as well as presenting the information

    necessary for predicting when critical capabilities may become

    unavailable due to logistical shortfalls.

    Building trustworthy data with

    IBM softwareCurrently available off-the-shelf IBM software components,

    such as InfoSphere Information Server, InfoSphere

    Foundation Tools, Cognos and SPSS can be used to increase

    not only the range of data sources available to a GIS, but also

    to greatly increase the quality and trustworthiness of that data.

    IBM solutions help you extend and leverage your existing

    investments in systems and data. Using these existing and

    tested components in new ways can improve your agencys or

    organizations ability to meet new and evolving goals.

    About the authorDave McDermott

    Information Technology Specialist

    Federal/InfoSphere Information Server

    IBM Software Group

    For more informationTo learn more about IBM InfoSphere Information Server,

    InfoSphere Foundation Tools and GIS, please visit: ibm.com/software/data/infosphere

    ibm.com/software/data/integration/info_server

    ibm.com/software/data/infosphere/foundation-tools/index.htm

    To learn more about SPSS, an IBM company, please visit:

    ibm.com/software/data/info/spss

    To learn more about IBM Cognos solutions, please visit:

    ibm.com/software/data/cognos

    Copyright IBM Corporation 2010IBM Software Group

    Route 100Somers, NY 10589

    Produced in the United States of AmericaJune 2010All Rights Reserved

    IBM, the IBM logo, ibm.com and InfoSphere are trademarks or registeredtrademarks of International Business Machines Corporation in the UnitedStates, other countries, or both. If these and other IBM trademarkedterms are marked on their first occurrence in this information with atrademark symbol ( or ), these symbols indicate U.S. registered orcommon law trademarks owned by IBM at the time this information waspublished. Such trademarks may also be registered or common lawtrademarks in other countries. A current list of IBM trademarks isavailable on the Web at Copyright and trademark information atibm.com/legal/copytrade.shtml

    Java and all Java-based trademarks and logos are trademarks of SunMicrosystems, Inc. in the United States, other countries or both.

    Microsoft is a trademark of Microsoft Corporation in the United States,other countries or both.

    Other company, product or service names may be trademarks or servicemarks of others.

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