1. Ravishankar P. Hariharan EMERGING TRENDS & TECHNOLOGY IN BUSINESS INTELLIGENCE MARKET

2. Business Intelligence and Data Warehouse Definitions 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.

3. Business Intelligence Today 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.

4. 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, Sensitivity Analysis 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.

5. 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

6. Top 5 Emerging Trends In BI 1. Emergence of BI 2.0 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

7. Emerging Trend 1 Business Intelligence 2.0

8. Characteristics of BI 2.0 Event driven Real time Automated analysis Forward looking Process oriented Scalable

9. 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)

10. Contd.. Reduce Cycle time – until 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.

11. Advantage & Disadvantages Action in almost real time. Advantage of operational reporting and analytic reporting. There will emerge new architecture and 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.

12. Emerging Trend 2 Consolidation of Tools & Vendors in Market. Consolidation of Tools & Vendors in Market.

13. Market 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 SAP – BW had strong architecture but weak concepts. MS had been silently away in the Past.

14. No. Business Intelligence Tool Version Currently With 1Siebel Analytics 10g Oracle 2Business Objects Enterprise XI r2SAP 3Net Weaver BI 7.0SAP 4Hyperion HFM & Planning 9.2Oracle 5Microsoft BI platform* 2008/2010Microsoft 6 IBM Cognos Series8.3IBM List Of Major BI Tools

15. No. Business Intelligence Tool Version Currently With 7Micro Strategy 9 8Informatica Power Center 8.6 Informatica Corporation 9Data Stage 8IBM 10Ab initio 1.5 Ab Initio Software Corporation Contd..

16. Leaving 3 categories of vendors (Gartner) Up-and-Comers Microsoft Oracle SAP IBM Megavendors Pure Plays Vendor Categories Targeting specific market segments Innovative solutions Disruptive Technologies Open Text Informatica Teradata SAS

17. Vendors & Products MDMSiperian, Initiate Data Quality and GovernanceGroup1, Back Office, Silvercreek, SAP-BOBJ, Informatica, Trillium, IHS-Intermat, Utopia Enterprise SearchEndeca Real time ETLRadware Data ArchivingSAND Data VisualizationAVS Query and Usage ManagementApplfuent Rules EnginesILOG DW AppliancesNetezza DW InfrastructureEgenera Data Mapping and AnalysisExeros Unstructured DataItemfield Opensource Pentaho, Talend BAMCelequest EII (Enterprise Inf. Integration)Composite, Metamatrix, Sybase Awaki Information MobilitySybase DW/BI DBMSSybase IQ Object Oriented Architecture Objectriver Predictive AnalyticsTech Labs evaluated KXEN, SPSS, and SAS Technologies Vendors

18. Emerging Trend 3 Offering BI as Service

19. BI as Service The Software as a Service (SaaS) Model is the combination of a Business 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

20. Emerging Trend 4 Defining BI delivery system

21. BI Delivery system ----- Analytics You have to bring the same rigor you bring to operations and finance to the analysis. - Rupert Bader, Director - Workforce planning at Microsoft (MSFT)

22. BI Delivery system ----- Analytics 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.

23. Defining Analytics Enterprise analytics Functional analytics Workforce analytics Rapid analytics Financial analytics Analytics as a whole solution Analytics as a spearhead solution

24. Intelligence Grading. Reports. Standard reports. Drill down reports. Alert. Ad-hoc reports Analytics? Statistical analysis Predictive modelling Forecasting. Optimization.

25. 25 Organizations have the opportunity to employ analytics in a way that drives better value from their system. Competitive Advantage 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 (What’s the best that can happen?) Reporting Analytics

26. Emerging Trend 5 Focus on Information Quality

27. Data Transformation Discrete Data (Not Clean) Cleaned DataIntegrated Data Ex: Master Data Mgmt Ex: ERP or ODS Net SAPSAP Budget Public Domain

28. Contd.. Meaningful Data Valuable InfoCritical Info Ex: Business Consulting IM Consulting Metric Mgmt Ex: Fast Moving Info Sensitive Info High Impact KPI Ex: Building DM/DW KPI Facts & Measures

29. 29 Talent Management Initiatives have produced a positive impact on business performance Metric%Source Revenue28% faster growthSuccessFactors Revenue/employee49% faster growthSuccessFactors Income/employee13% higherSuccessFactors Valuation/employee27% higherSuccessFactors Shareholder return2.5 times higherHay Group Shareholder return22% higherMcKinsey Shareholder return22% higherLeadership Excellence Shareholder return29% higherFulmer Return on assets1.7% higher 3 yearsFulmer Revenue/employee27% greater if invested in trainingLeadership Excellence Revenue40% greater growth if invested in trainingLeadership Excellence Income50% greater growth if invested in trainingLeadership Excellence Profit1% increase/employeeWhetten 2004 Employee Turnover7% decreaseWhetten 2004

30. Define your key information level. Facts and Measures Key Performance Indicator Metrics External ratios, Perspective Your Models(EBDITA, DOW JONES, FKTM) Scalable factors.

31. Information Management Specialty Domains & Core Competencies Business Intelligence BI Governance BI & DW Architecture Data Integration Reporting & Analysis Analytics & Discovery Portal Enterprise Search Collaboration Data Management & Architecture Data Quality Meta Data Management Data Movement & Replication Master Data Management Information Management Specialty Domains Enterprise Content Management Document Management Web Content Management Transactional Management Performance Management Strategic Intelligence

32. Q & A

33. THANK YOU