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BI Emerging Markets_tds_79 - Less Slides

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    Business Intelligence

    Capability of collecting and analyzing internal and

    external data to generate knowledge and value for the

    organization. This includes business process decision

    support at the strategic, tactical, and operational levels.

    Data Warehouse

    A database populated with data from business transactional

    systems optimized for retrieval of information providing

    value in the areas of business projection, market trend

    analysis, and cost minimization.

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    Business IntelligenceToday

    Is driven largely by Reporting

    Data warehouse as foundation for BI is Established

    Knowledge level of customer in BI expectation, is increasing Tools established in ETL, Reporting, OLAP, Analytics, Data Mining.

    BI Reporting is viewed different from ERP [SAP, Oracle] ,Source

    system reporting and MIS reporting.

    More IT Professionals are joining BI/DW stream .

    Still Untapped:

    Large number of industries are still unaware of BI (Especially in Domestic Market)

    BI being more than reporting is an opportunity

    Upgrading of system

    Sophisticated BI delivery system like EIS, Analytics, SensitivityAnalysis are yet to be scaled and has a huge impact on business

    Limited user group implementation .

    - Mindset from professionals

    - Cultivate both Top down and Bottom up approach.

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    Characteristics Of BI Market

    Closely connected to business

    Any change in business affects BI

    ROI. ROI. ROI.

    Depends on data completeness

    (Information across the enterprise)

    BI System

    Local Business

    Environment

    Legal & Laws

    Composition

    of Manpower

    Structure

    of

    Company

    Global Changes

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    Top 5 Emerging Trends In BI

    1. Emergence of BI and challenges.2. Market Consolidation of Tools & Technology

    3. Offering BI as service opportunity (SAAS Model) and

    challenges

    4. Defining BI Delivery System Analytics, Data Mart

    5. Quality of Information

    Master Data Consolidation

    KPI Definition for Management /System Business Knowledge & Context

    Identifying Critical Information

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    Business Intelligence 2.0

    Characteristics

    Event driven

    Real time

    Automated analysis

    Forward looking

    Process oriented

    Scalable

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    Real Time BI

    RTBI provides the same functionalities as the traditional

    business intelligence, but operates on data that is extracted from

    operational data sources with zero latency, and provides means

    to propagate actions back into business process in real-time

    Seamless transition from data into information into action.

    RTBI needs automatic processes and intelligent systems

    (adding semantic web techniques and advanced analytics).

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    Contd..

    Reduce Cycle timeuntil real time

    From (extract, transform, load) ETL-Approach to

    OLAP and high performance analytics to ?

    E.g. Realtime Decisioning, In-Memory Analytics on

    64Bit-Hardware, Enterprisewide Realtime CPM,

    BAM/ Realtime-BI,

    Advanced Analytics.

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    Advantage & Disadvantages

    Action in almost real time.

    Advantage of operational reporting and analytic reporting.

    There will emerge new architectureand schema for storing /

    transmitting data.

    Challenges ? Not so easy. You could end up with messing the entire Information

    management in the organization.

    Accuracy could be hit. A wrong decision could emerge.

    Could just end up replicating operational system reporting.

    Short-Sighted implementations .

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    Emerging Trend 2

    Consolidation of Tools & Vendors in MarketMarket consolidation

    Major players in IT IBM, Oracle, MS have been aggressively

    buying leading BI product firms.

    SAP bought BO to strengthen BI-front.

    Cognos bought out by IBM in a Mega deal.

    Oracle bought Hyperion, Siebel analytics to name few.

    Microsoft releases BI-Platform.

    Why ?

    Huge market potential. Oracle not too successful with custom developed products in BI

    SAPBW had strong architecture but weak concepts.

    MS had been silently away in the Past.

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    No. Business Intelligence Tool Version Currently With

    1 Siebel Analytics 10g Oracle2 Business Objects Enterprise XI r2 SAP

    3 Net Weaver BI 7.0 SAP

    4 Hyperion HFM & Planning 9.2 Oracle

    5 Microsoft BI platform* 2008/2010 Microsoft

    6 IBM Cognos Series 8.3 IBM

    7 Micro Strategy 9 Micro Strategy

    8 Informatica Power Center 8.6Informatica

    Corporation9 Data Stage 8 IBM

    10 Ab initio 1.5Ab Initio SoftwareCorporation

    List of Major BI Tools

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    Leaving 3 categories of vendors

    (Gartner)

    Up-and-Comers

    Microsoft

    Oracle

    SAPIBM

    MegavendorsPure Plays

    Vendor Categories

    Targeting specificmarket segments

    Innovativesolutions

    DisruptiveTechnologies

    Open Text

    Informatica

    Teradata

    SAS

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    Emerging Trend 3: BI as Service

    The Software as a Service (SaaS)Model is the combination of aBusiness Model and a Software Delivery Model

    When does it arise for BI?

    Small to medium customers requiring BI service

    Reporting service to analytical service

    Insight services

    Service require larger framework than the organization can afford

    Expert availability:

    -BI Expert, Statisticians, Data mining expert, Subject matter expert

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    Emerging trend 4:

    Defining BI Delivery system - Analytics

    You have to bring the same rigor you bring to operations andfinance to the analysis - Rupert Bader, Director - Workforce

    planning at Microsoft (MSFT)

    Where does analytics stand?

    Do you want to give analytic solution to all the key customers?

    Is there a shape and focus to the analytic system?

    If analytics is Multi-dimensional analysis, Predictive analysis ,

    data mining and so on. Which is best suited for a particular

    function?

    We could possibly classify our offerings.

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    Defining Analytics

    Enterprise analytics

    Functional analytics Workforce analytics

    Rapid analytics

    Financial analytics

    Analytics as a whole solution

    Analytics as a spearhead solutionIntelligence Grading

    Reports.

    Standard reports.

    Drill down reports.

    Alert.

    Ad-hoc reports

    Analy t ics?

    Statistical analysis

    Predictive modeling

    Forecasting.

    Optimization.

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    Organizations have the opportunity to employ analytics in a way that

    drives better value from their system.

    Com

    petitiveAdvanta

    ge

    Sophistication of Intelligence

    Alerts (What actions are needed?)

    Query / drill down (Where exactly is the problem?)

    Ad hoc reports (How many, how often, where?)

    Standard reports reports (What happened?)

    Statistical analysis (Why is this happening?)

    Predictive modeling (What will happen next?)

    Forecasting/ extrapolation (What if these trends continue?)

    Optimization(Whats the best that can happen?)

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    Emerging trend 5: Focus on Information

    QualityData Transformation

    Discrete Data(Not Clean) Cleaned Data Integrated Data

    Ex: Master Data MgmtEx: ERP or ODS

    Net

    S

    A

    P

    Budget

    Public

    Domain

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    Contd..

    MeaningfulData

    Valuable Info Critical Info

    Ex: Business Consulting

    IM Consulting

    Metric Mgmt

    Ex: Fast Moving Info

    Sensitive Info

    High Impact KPI

    Ex: Building DM/DW

    KPI Facts &

    Measures

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    Talent Management Initiatives have produced a positive impact on business

    performance

    Metric % SourceRevenue 28% faster growth SuccessFactors

    Revenue/employee 49% faster growth SuccessFactors

    Income/employee 13% higher SuccessFactors

    Valuation/employee 27% higher SuccessFactorsShareholder return 2.5 times higher Hay Group

    Shareholder return 22% higher McKinsey

    Shareholder return 22% higher Leadership

    Excellence

    Shareholder return 29% higher FulmerReturn on assets 1.7% higher 3 years Fulmer

    Revenue/employee 27% greater if invested in training Leadership

    Excellence

    Revenue 40% greater growth if invested in training Leadership

    Excellence

    Income 50% greater growth if invested in training Leadership

    Excellence

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    Define your key information level.

    Facts and Measures Key Performance Indicator

    Metrics

    External ratios, Perspective

    Your Models (EBDITA, DOW JONES, FKTM)

    Scalable factors.

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    Information Management

    Specialty Domains & Core Competencies

    Business Intelligence

    BI Governance

    BI & DW Architecture

    Data Integration

    Reporting & Analysis

    Analytics & Discovery

    Portal

    Portal

    Enterprise Search

    Collaboration

    Data Management &

    Architecture

    Data Quality

    Meta Data Management

    Data Movement & Replication

    Master Data Management

    Information ManagementSpecialty Domains

    Enterprise Content

    ManagementDocument Management

    Web Content Management

    Transactional ManagementPerformance Management

    Strategic Intelligence


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