Business Intellignece the Next Generation of Innovation

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    Business Intelligence: The NextGeneration of Innovation

    Kurt Schlegel

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    Business Intelligence Applications

    Enterprise Applications (ERP, SCM and CRM)

    Server and Storage Technologies (Virtualization)

    Legacy Application Modernization

    Security Technologies

    Technical Infrastructure

    Networking, Voice and Data Communications (VoIP)

    Collaboration Technologies

    Document Management

    Service-Oriented Technologies (SOA and SOBA)

    BI is the Most Important CIO Priority for 3 Years Running

    **New question for 2007

    To what extent will each of the followingtechnologies be a Top 5 priority for you in 2008?

    11.20%

    8.02%

    8.45%5.79%

    8.53%

    4.67%

    6.83%

    7.75%

    7.91%

    6.71%

    2008Increase*

    1

    2

    34

    5

    6

    7

    8

    9

    10

    Rank2008

    1

    2

    53

    6

    8

    4

    10

    9

    7

    Rank2007

    1

    **

    910

    2

    12

    8

    4

    **

    6

    Rank2006

    Source: 2008 Gartner Executive Programs CIO Survey, January 10, 2008

    2008 CIO Technology Priorities

    * Unweighted average budget change

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    Key Issues

    1. How can BI evolve beyond reporting measuresto making great decisions?

    2. How can IT leaders drive broader BI adoption?

    3. How can the scope of BI initiatives move fromenterprise to industry wide?

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    How to Build a Skyscraper and Why Does It Matter to BI?

    Burj Dubai (YE08)Dubai

    164 stories

    Flatiron (1901)New York22 Stories

    Monadnock (1891)Chicago

    17 Stories

    http://en.wikipedia.org/wiki/Image:Flatiron_crop_20040522_114306_1.jpghttp://upload.wikimedia.org/wikipedia/en/b/be/Burj_Dubai.jpg
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    Todays BI Strategy: Urban Sprawl

    BI focuses too much on Bottom Up reporting of performance measures. And the measures are not what your CEO or senior managers care about. Projects are built with little governance or alignment with corporate strategy.

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    Portfolio of BI and PerformanceManagement Applications Expand

    Result: Smarter Decisions

    EnterpriseGoals

    BusinessFunctions

    BusinessProcess

    StrategyDriven

    Analyst/Management

    Driven

    ProcessDriven

    Start withCorporateStrategy

    Align KeyPerformanceIndicators (KPI)at Each Level

    Focus on Root

    Cause Analysisdown to theprocess level

    The BI and Performance Management Continuum: DecisionMaking Becomes a Core Competency

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    Key Steps to Evolve BI Beyond ReportingMeasures to Managing Decisions

    IT DeliversReports & Dashboards

    DecisionMakingas a corecompetency

    Business Vision& Sponsorship Data Lineage,

    Governance and Quality

    CostQuality

    Tradeoff Analysis

    Linking Planning,Reporting & Analysis

    Experimental Design

    Cultural Change

    Skills Development

    New CapabilitiesModeling

    Forecasting,Simulation,Optimization

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    A Text Book Example: The Oakland As

    "Moneyball: The Art of Winning anUnfair Game" written by Michael Lewis

    - Account of Billy Bean, manager of theOakland Athletics baseball team

    Used BI to manage processes

    (e.g., scoring runs) and predictperformance (e.g., games won)

    - Used "on base %" instead of "batting average" to draft players

    - History showed, in the data, that the old"gut feelings" and adages were wrong

    - Focused on avoiding outs instead of advancing the runner a major change to the business process of baseball.

    Result: Able to win 90+ games per year withone-third the payroll of the New York Yankees

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    Key Issues

    1. How can BI evolve beyond reporting measuresto making great decisions?

    2. How can IT leaders drive broader BI adoption?

    3. How can the scope of BI initiatives move fromenterprise to industry wide?

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    Driving BI Adoption

    EmpoweringUsers With BI

    Organizational EfficacyRequires the Proper Balance

    Optimizing BusinessProcess With BI

    BI Continuum

    Decide ManageMeasure Optimize InnovateDiscover

    Future Scenarios: Wide Ranging From Human- to Machine-Driven

    Orchestration Business rules Predictive modeling

    Search Visualization Empowerment

    Alignment Transparency Collaboration

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    Interactive Visualization

    Source: Advizor Solutions

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    BI Integrated with Search

    User Interaction

    Style withInformation

    Structure, Qualification,Control of Information

    Low

    High

    General toSpecific

    AnalysisCentric

    BI Content Search

    Ad hoc query

    ContentAnalytics

    Specific toGeneral

    Reporting/Dashboards

    SearchCentric

    Enterprise Search

    Explore Data DimensionsAuto- Queries

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    Unicredit (HypoVerinsbank AG):Accelerating Decision Processes

    Metadata Management

    Interface Layer Staging Area OperationalData StoreService -Layer Risk Models Data Marts

    Reporting &Analysis

    75 sources 370 jobs

    127 labels

    ~ 2,000 columns

    55 labels

    1,660 columns

    10 facts

    48 dimensions

    120 reports

    150 users

    operationalsystems

    externaldatasources

    Extracts

    t r a nsfo rm a t i on

    validated, integratedhistorical data

    modelparameter

    multidimensionaldata structure

    & reporting views

    HTMLPDFCSVXMLXLS

    Browser MailFTP

    SchedulingAlerting

    E/Rmodel

    risk & pricingmodels

    businessrule engine

    businessrules

    Load

    s t a r

    m o d e l 0 20 40 60 80

    100

    1st 2nd 3rd 4th

    Data Modeler ETL

    Visual Rules

    BI Platform

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    Information Buffet: EuroDisney Challenge: Optimize customer satisfaction and reduce expenses Solution: Define KPIs, predict, publish and alert Results: +15% customer satisfaction; Higher staff efficiency Success factors: Distributed decisions aligned with business goals Lessons learned: Cultural change takes years, but it's worth it

    http://images.google.com/imgres?imgurl=http://www.skywaysecurity.com/images/point_of_sale_image.jpg&imgrefurl=http://www.skywaysecurity.com/point_of_sale_DVR_integration.cfm&h=275&w=248&sz=12&hl=en&start=3&tbnid=37782U9t0828xM:&tbnh=114&tbnw=103&prev=/images%3Fq%3Dcash%2Bregister%26svnum%3D100%26hl%3Den%26lr%3D%26safe%3Doff%26rls%3Dcom.microsoft:en-US%26sa%3DN
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    Key Issues

    1. How can BI evolve beyond reporting measuresto making great decisions?

    2. How can IT leaders drive broader BI adoption?

    3. How can the scope of BI initiatives move fromenterprise to industry wide?

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    Five Major Mutually ReinforcingDiscontinuities

    Discontinuities Affect Business Unit Independence Vendor Balance of Power,

    Distribution, Marketing andBusiness Models

    Implementation Alternatives Rogue End-User Investments Governance, Authority and

    Control Budgets Architectural Models

    Softwareas a

    Service

    GlobalClassOpenSource

    Web 2.0 Consum-erization

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    Understand the Trade-Offs That SaaSPresents

    Upsides- Pay for what you use- From an operational budget- Basic functionality that you

    really need, not bells andwhistles that you might need

    - No operational managementworries

    - No infrastructureoverhead/management

    - Medium-term lower TCO- Faster implementations- Easier integration*

    Downsides- No asset value- Less central management of

    the application portfolio- More basic functionality*

    - Vendor management (incl.oversight of their operationalmanagement)

    - Security concerns- Longer-term TCO

    uncertainties- "OP2OD" (On Premise to OnDemand) integration

    * Sometimes real, sometimes perceived * Theoretically; particularly of SaaS to SaaSapplications written with open APIs

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    BI as a Service (BIaaS Not a Great name)Input: Detailed

    data is provided toa trusted info

    aggregator

    BI CapabilitiesCombined with

    Vertically SpecificInformation Servies

    Neilsen

    IMS

    D&B

    Thomson Reuters

    Google

    Catalina Marketing

    NPD

    IRI

    Comscore

    LoanPerformance

    LexisNexis

    Skytide

    Output: Enriched

    data fed back to DW

    Dimensional slicing & dicing

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    Thomson Healthcare

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    3 Recommendations for 3 Innovations

    BI initiatives are overly focused on reportingmeasures.Craft a BI strategy that makes decision making a core

    competency across your company.

    BI is too hard for 80% of users.- Craft a BI strategy that embraces emerging technologies

    and embeds BI into business processes

    BI initiatives lack an external perspective- Embrace the combination of BI capabilities and industry

    specific information providers