1. MICROSTRATEGY ANALYTICS PLATFORM Trends in Analytics Sanju Bansal Co-Founder

2. About MicroStrategy Company Top independent analytics software platform vendor 20+ years old, publicly traded Approximately $600M revenue in 2012. No debt, $200M+ cash in the bank Global presence with operations in 23 countries Technology Long-time market leader and innovator in analytics Unique unitary architecture, known for high performance and scalability Revolutionary Cloud-based analytics services Innovations in mobile commerce and identity Analysts Leader for six consecutive years in Gartner’s BI Magic Quadrant Leader in Forrester BI Self Service Wave #1 Ranked Mobile BI Vendor by Gartner & Dresner Advisory Top ranking BI vendor in the BI Scorecard Customers Millions of business users Thousands of mission-critical applications Nearly 4,000 customer institutions globally across all industries and government Customers range from Global 500 giants like Chevron and Carrefour to cutting edge technology innovators like eBay and LinkedIn

3. 1.Pittsburgh Medical Center (UPMC) 2.US Postal Service 3.US Center for Medicare & Medicaid 4.eBay 5.Starbucks Analytics in Action

4. BIG DATA Unlock Value In Big Data Assets

5. Take Action Do Something Collect Capture Atomic Detail Data from Business Processes Transform Manipulate, Transform, Aggregate, Distill Volume Variety Velocity Performance and Scale MapReduce as a Language High Speed Data Transformation Requires Organizational Resolve Taming Big Data How are you transforming “unactionable petabytes” into “actionable gigabytes”?

6. Big Data Analytics The power to unlock your Big Data assets Agile Analytics Rapid-fire data discovery Systems of Record Business Intelligence Operationalize analytics to elevate performance Intuitive Data Exploration Fast Dashboard Development 100% Governable Unmatched User Interfaces Highest Performance and Scale Trusted System-of-Record Reliability Easy, Cost-Effective Administration Access All Your Data Combine Data from Multiple Sources Advanced Analytics Transform Big Data into Insight Analytic Requirements in a Typical Organization Web or Mobile / On-Premises or Cloud

7. AGILE ANALYTICS Rapid-Fire Data Exploration and Dashboarding

8. Why Is Agile Analytics So Popular? Increasing User Satisfaction While Massively Increasing Productivity More Productive More content per creator More Producers More users can create content More Collaborative Peer-to-peer sharing 5-10x More Content 5-10x More Content Creators 5-10x More Sharing >100x more content creation and consumption

9. Visual Data Discovery Stunning visualizations On-screen filtering Speed-of-thought in memory database Common Use Cases Interactive data exploration and root cause analysis Dashboard creation Visual Data Discovery is Revolutionary Lightning Fast Insights, Easy for Everyone, No IT Required Visual Data Discovery takes you from data to dashboard in less than ten minutes.

10. A Picture Is Worth 1000 Words Every User Becomes A Professional Data-Journalist

11. Quickly apply formatting and set up filtering. Discover new insights. Add more visualizations from any data source. Self-Service Dashboards Drag-and-Drop to Build Great Dashboards in Minutes Save your finished dashboard. Great for prototyping or production. 1234

12. A Dashboard Is Only As Good As Its Underlying Data Be Wary of Style Without Substance Data Attributes Facts Metadata Metrics Hierarchies Transformations ?? ? Governance is the soft underbelly of standalone Visual Data Discovery tools like Tableau and Qliktech

13. Agility and Governance Can Coexist Promote Unmodeled Metadata Back to the System of Record Personal and Cloud- based Data Sources Enterprise Data with Governed Metadata Business User Metadata 3 Promote dashboard design metadata to system of record Harmonize agility and governance.

14. SYSTEM OF RECORD BUSINESS INTELLIGENCE Operationalize Analytics to Elevate Performance

15. Unmatched Interface Production dashboards Operational reports Build once, deploy anywhere High Performance Push-down analytics In-memory cube acceleration Dynamic sourcing Flexible, Reliable, and Easy to Manage High-efficiency object reuse Powerful SDK Comprehensive admin tools Data From Across the Enterprise Web Mobile Portals Office Dashboards ReportsStatements Visual Discovery System of Record Business Intelligence Operationalize Analytics to Align the Business and Elevate Performance

16. * According to BARC’S BI SURVEY 12. “Megavendors” are Oracle, SAP, IBM, and Microsoft. Production Dashboards Easy, Guided Decision-making for Mass Consumption Comprehensive data Easy to use Guided workflow Personalized for each user Online or distributed via email Multimedia content-enabled Transaction-enabled

17. * According to BARC’S BI SURVEY 12. “Megavendors” are Oracle, SAP, IBM, and Microsoft. Production Reports and Professional Statements Reports Clear and concise data delivery Personalized to the viewer Subscriptions, programmatic refresh and distribution options Statements Branded, pixel-perfect experience Interactive capability Powerful mass distribution capabilities

18. BrowsersPortalsEnterprise Applications Web Email PDFOffice DocumentsMobile AndroidiOSBlackBerry Build Once, Deploy Anywhere Build once Deploy via any media 12

19. BIG DATA ANALYTICS Unlock Value In Big Data Assets

20. Combine Data from Multiple Sources Fast Access to Federated Big Data Business users and developers access the entire Big Data ecosystem as if it were a single database. User / Departmental Data Data Warehouse Appliances MapReduce Databases MapReduce Databases Relational Databases Multidimensional Databases Multidimensional Databases Columnar Databases Columnar Databases 1 1 2 2 3 2 & 3 Bring All Relevant Data to Decision Makers, No Matter Where It Resides

21. Advanced Analytics – Analytical Maturity Model Climb the Analytical Maturity Model to Outsmart and Outperform Competitors Benchmarking Projections Trend Analysis Data Summarization Relationship Analysis Relationship Analysis Analytical Maturity What is likely to happen based on past history? What is happening in the aggregate? What direction are we headed in? How are we doing versus comparables? What factors influence activity or behavior?

22. From Big Data to Business Value Any Data Actionable Insight Benchmarking Projections Trend Analysis Data Summarization Relationship Analysis Relational Multidimensional Hadoop-based Structured Semi-Structured Unstructured Comprehensive Analytics

23. Questions?