Michael Corcoran Sr. Vice President & CMO New Data Requirements Driven By Analytics 1

 Self-service BI & Analytics  Real-time business requirements  Big Data  Data As An External Asset 2

Information Builders Transforming Data Into Business Value 3 Extends Decision Making Provides Trust Simplfies Access Intelligence Integrity Integration iWay WebFOCUS

Enterprise Capital 4 Maximise Your Information Capital CapitalAssetsOutcome Investment FacilitiesProducts & Services HumanEmployee Programs &Tools Better Performance Information Data & SystemsBetter Decisions & & Processes Information

Maximise Your Information Capital 5 Everyone Makes Decisions Traditional BI, Analytics, Information Management Lagging Indicators, Batch Analytical Role Analytical Goal Information Capital Gains Executive Management Strategic Set Strategy & Policy Provide Investments & Resources Mid-Management & Analysts AnalyticalAnalyze Performance Leverage Investment Next Generation BI, Analytics, Information Management Leading Indicators, Real Time Proactive Employees Operational Drive Change & Business Transformation High ROI Partners, Suppliers, Customer Vital Loyalty, Differentiation & Growth Extreme ROI 5

The Changing Information Management Landscape Critical Integration Requirements 6 Web Social Machine Hadoop & Columnar Legacy SAP ERP Legacy Messages Data Warehouse Data Marts Data Warehouse Data Marts Operational Data SAP ERPOracle ERP Application Integration Big Data Integration Real-time Data Integration Batch Data Integration

Data Profiling Impact Analysis Cause Analysis Business User Assess Standardization Enrichment Data Quality Firewall IT Professional Cleanse 360° View All 4 MDM Styles Multi-Domain IT Professional Master Stewardship Monitoring Data Correction Business User Remediate 7 Managing Data Integrity Requires Collaboration Between Business and IT

Self-Service 8 “I Want It Now!”

Self-Service Business Intelligence and Analytics Copyright 2007, Information Builders. Slide 9 IT Business  The Business Takes Ownership Of Process And Intelligence ‖ Forrester highlights that IT is losing its control over business intelligence platforms, tools and applications often due to IT’s inability to operate at the increased pace of the business. The report also notes that business process management, again a traditional domain of IT by-and-large, is increasingly becoming the domain of other functions as “a new class of users demands more user-friendly, self-service features to automate ad hoc processes without expensive and scarce IT resources.” Chief Data Officer

Self-Service Business Intelligence and Analytics 10 Tools vs Apps

 Highly interactive Dashboards, Reporting, and Visualization  Ad-hoc for non-technical users  Personal user customization  App Store- like experience  All users can answer questions Build, Share, Distribute The BI & Analytic User Spectrum Aligning Technology with User Skills 11 IT Developers Advanced Analysts Business Analysts ManagementOperational EmployeesBusiness PartnersCustomers ROI on Information Capital Self-Service Apps Platform Features & Capabilities Self-Service Tool Ad-hocAnalysis DataDiscovery Development & Administration  Dashboards  Reporting  Query  Data Discovery  Performance Metrics  Predictive  Search  Social Analytics  Location Intelligence

Trend Toward Advanced Analytics 12 Blends The Need For Structured and Unstructured Data

Internalization of External Data Assets  SaaS applications  Machine generated data  GPS/Location data  Social media  Market data  Service bureaus  Weather.com  ESRI  Address dbms  Sentiment 13 Web site SaaS Apps Service Bureau Market Data Social Machine Sensors GPS Hadoop & Columnar 3 rd Party Data Transactions Data Warehouse Data Marts

Modern Analytic Apps Require Multi-sourced Data 14

Externalization of Internal Data Assets Monetising Data  Data as a new product or service  Revenue generation  Customer service differentiation  Spawning additional opportunity  Custom Metrics and Key Performance Indicators  On premise data services for third parties  “Who else wants your data?” 15

New Data Requirements Driven By Analytics Summary  Empower your users for self-service  Take responsibility for information management  Evaluate Big Data opportunities  Be agile, but not at the cost of data integrity and auditability  Best wishes for success in 2014 and beyond! 16