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A Fundamental Difference

A Fundamental Difference. A Fundamental Difference. WHERE [Fiscal Year] = 2004 AND ([Fiscal Month] = ‘Apr’ OR [Fiscal Month] = ‘May’ OR [Fiscal Month] = ‘Jun’) AND [Division Name] = ‘Domestic’ AND ([Region Name] = ‘Northeast’ OR [Region Name] = ‘Southern’)

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A Fundamental Difference

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  1. A Fundamental Difference

  2. A Fundamental Difference • WHERE [Fiscal Year] = 2004 • AND ([Fiscal Month] = ‘Apr’ OR [Fiscal Month] = ‘May’ OR [Fiscal Month] = ‘Jun’) • AND [Division Name] = ‘Domestic’ • AND ([Region Name] = ‘Northeast’ OR [Region Name] = ‘Southern’) • AND ([Product Type Desc] = ‘Breakfast Foods’ OR ([Product Type Desc] = ‘Dairy’ OR [Product Type Desc] = ‘Eggs’)

  3. Answer questions at the “Speed of Thought”

  4. Associative In-Memory Technology Large datasets Many users Fast queries No load on operational systems Freedom in selecting measures/dimensions Infinite drill-down/around Easy-to-use “Sex and Sizzle” Data queried in memory Aggregates calculated as clicked Visually Interactive UI In Memory Analysis Feature: Benefit: Leverages 64-bit/multi-core Hardware Platform

  5. Start Small Average implementation time1: 17 months in total; 5 months to deploy the first usable analytic application Mean annual expenditure on BI software2: $1.1 million for companies with >1,000 employees Project success rate1: 31% success rate, at best Meeting needs - right data to right person2: Only 36% are confident that reports and dashboards deliver the right data, to the right person, at the right time Implementation Time for BI Initiative1 1 DM Review & IDC Business Intelligence Survey, October 2006, 2004 (Material on implementation time not available in 2006 survey) 2 InfoWorld & IDC Business Intelligence Survey, October 2007

  6. A Fundamental Difference Thought Driven Flexible & Easy Start Small

  7. Our Mission Simplifying Analysis For Everyone

  8. Performance Challenges in Banking Expand Share of Wallet in Customer Portfolio “Increased emphasis on revenue generation goals through nimbler product development and innovation, expansion into new geographies, and improved and actionable customer insight.” Customer Acquisition & Retention “Address economic slowdown and intense competition by retaining market share and adjusting to new demographics (such as larger senior population and migratory consumers.” “Address new opportunities in emerging economies (such as the new mass affluent, small businesses, and the unbanked).” Manage Risk Exposure “Appropriately manage risk exposure across multiple fronts with regards to market risk, compliance, security and privacy.” Streamline Back Office Operational Processes “Adopt lean production and high-performance strategies of manufacturers to streamline customer interaction and transaction processes.”

  9. QlikView for Retail and Investment Banking • Product Development and IT • Product Portfolio Analysis • Product / Project Management • Product Performance by Market Segment • System Performance Controlling • Infrastructure Planning / Sizing • Executive • Balanced Scorecard • Performance Management • Predictive Analysis • What-if Analysis • Activity-Based Management • Asset / Wealth Management • Assets / Cash Distribution • Portfolio Analysis & Performance • Manager Performance • What-if Analysis • LOB – FI, Derivatives, Equity • Market Data Services • Market Price Monitoring – Current/Historical • Heat Map & Exposure • LOB Portfolio Analysis & Transactions • Performance – Margins, Commissions • Finance & HR • Financial Consolidation Reporting • P&L Analysis by LOB / Branch • IFRS / GAAP Accounting Compliance • Sustainability Reporting • Workforce and Benefits Analysis • Customer Management • Targets, Fees/Assets, Commissions • Customer Portfolio Analysis (Heat Map) • Customer Segmentation, Value & Profiling • Customer Cross-sell and Up-sell; MCIF • Marketing Campaign Performance Dashboard Analysis • Risk Management & Compliance • Credit risk • Market risk • Operational risk • Compliance – Basel II, SEPA, KYC, AML, USA Patriot Act, HIPAA • Payment / Transaction Processing • Clearing, Settlement, and Reconciliation: • Payments (SWIFT, ACH, BACS, EDI) • ATM / Credit / Debit Card Transactions • Mortgages / Loan Processing • Anti-Money Laundering / Fraud Identification Reporting

  10. Select QlikView Customers in Banking • More Than 200 Banks Are Leveraging QlikView

  11. (Unbelievably) Fast Implementations 4 weeks implemented 3 weeks implemented Large Investment Bank 12 weeks implemented 8 weeks implemented Large Wealth Management Company 2 weeks implemented 4 weeks implemented Large Retail Banking Company 15 days implemented 7 weeks implemented Large Investment Bank

  12. Delivering High Performance for Large Data Volumes Cross Industry Banking 15 – 20 TB of data or 2 billion records analyzed on doctors, patients and diagnoses Couple terabytes of data analyzed Large Investment Banking Company Large Wealth Management Company 200 GB of data or 140 million records analyzed on claims data with compression to 500MB 200 million records analyzed 56 million transactions analyzed with compression of 90% 4 millions customers analyzed across demographics for marketing campaigns Large Retail Banking Company 12 million patients with interaction records analyzed Large data volumes analyzed on fixed income trades Large Investment Banking Company 5.5 million records integrated, cleansed and analyzed Millions of customer records analyzed 5 million records pulled from multiple data sources Millions of records analyzed Large Investment Banking Company 5 million records pulled from multiple data sources 5 million records analyzed

  13. Supporting Large Scale End User Deployments Cross Industry Banking 600 users growing to 1,000 by year end 2007 24,600 users at Laredo (USA) Independent School District Large Investment Banking Company 11,000+ users at 3M 500 users Large Financing Company Large Investment Banking Company 11,000+ users at Pfizer 500 users 11,000+ users at Sanofi-Aventis 200 users at LRP 10,000+ users at AMS (Sweden) 200 users at Nedbank 4,500+ users at Bristol-Myers Squibb Large Investment Banking Company 100 users growing to 500 users in the fall of 2007

  14. About QlikTech • Heritage • Founded in 1993 in Sweden • R&D located in Lund, Sweden • Granted patents on in-memory associative technology • Eight major QlikView product releases • QlikView 8 released in 2007 • Lead investors – Accel Partners and JVP • Board • Paul Wahl, former COO Siebel and CEO SAP America • Alex Ott, JVP, former President Siebel North America • Bruce Golden, Accel, former Executive at Sun, Illustra and Informix • Claes Bjork, former CEO Skanska • Måns Hultman, Chairman & CEO QlikTech • Organization • Management Team: • Former executives from SAP, Siebel, Oracle, PA Consulting, Mactive, Intentia • ~300 employees across 15 offices in 6 countries • More than 300 partners • Headquartered in US (Radnor, PA) • Results • Leading provider of next generation BI solutions • Fastest growing BI software company in the world for two years running (2005 – 2006) according to IDC • Profitable, annual revenue growth of ~80% • 6,125 customers in 76 countries • Adding 12.5 new customers every day • 276,000 live users

  15. Successful Customers Across Many Industries

  16. Industry Recognition & Awards Broad Software Industry Recognition Red Herring 100 Award Winner Named a Winner of Red Herring 100 Spring 2007 Award given to the top 100 private technology companies based in North America driving innovation. Sand Hill Group Innovation Showcase Winner Selected as one of 25 companies in the Innovation Showcase at the Software 2007 conference. Recognized in the Fast Track category for the company’s significant market traction. BI Software Industry Recognition Gartner Group Recognition as ‘Visionary BI Provider’ Predicts predominance of ‘In-Memory’ BI solutions for 70% of Fortune 1000. Recognized as a ‘Visionary’ in Gartner Group’s annual Magic Quadrant (2007). IDC Recognition as ‘Fastest Growing BI Company’ Acknowledged as the fastest growing BI software company in the world for two years in a row (2005 - 2006) with profitable, annual revenue growth rates of ~80%. Solution & Customer Recognition Morgan Stanley CTO Summit Innovation Award Recognized by Morgan Stanley as a leading technology innovator at its 2007 CTO Summit. Technologies are acknowledged for their impact on the marketplace and within Morgan Stanley. CTO Summit Innovation Award Gartner Group Best Midmarket Solution Software Award Named QlikView as the IT Executives’ choice for ‘Best Midmarket Solution Software’ at Gartner Midsize Enterprise Summit 2007 in Atlanta. FierceHealthIT - Top Healthcare IT Innovator Award Named one of ten top innovators delivering disruptive technologies to the healthcare IT industry in 2007 according to FiereHealthIT. The Computerworld Honors Program Laureate Award Awarded for the Sahlgrenska University Hospital case study for the use of IT to benefit society. Recognized in the Business and Related Services category in 2007. Nominated by Morgan Stanley.

  17. QlikView Leads Next Generation BI ●QlikTech (Jan 2006) “70% of Global 1000 organizations will load detailed data into memory as the primary method to optimize BI application performance and flexibility. With in-memory technology, users can freely explore detailed data in an unfettered manner without the limitations of a cube.” 1 Gartner Group Magic Quadrant Business Intelligence Platforms 2007 • Vision: • Performance: “[QlikView’s] technical advantages using an in-memory data model, automated data integration and a graphical analytical environment have attracted customers looking for both ease of use and highly scalable functionality.” 2 • Architecture: “Beyond the performance capabilities, QlikTech has some unique architectural and contractual aspects. For example, by simultaneously ‘doing the inner and the outer join,’ QlikView makes it very easy for users to see both the query results and the non-query results. This functionality can be useful when performing analysis of the data, in particular when spotting outliers.” 2 • Execution: • Growth: “QlikTech executed very well in 2006, increasing its revenue by 80% and significantly expanding its customer base to over 5,400 organizations.” 2 • References: “Ironically, QlikTech — one of the smaller vendors evaluated in the Magic Quadrant — is able to show the most references, analyzing hundreds of millions of rows of data with good query performance.” 2 1Kurt Schlegel among others, “BI Applications Benefit From In-Memory Technology Improvements”, published 2 October 2006, pages 2-3 2 Kurt Schlegel among others, “Magic Quadrant for Business Intelligence Platforms, 1Q07”, published 26 January 2007, page 13

  18. Providing An Integrated Approach ERP ERP Unstructured Data Unstructured Data CRM CRM Traditional BI Stack User Interface, Dashboards, Scorecards, Reports • User Interface • Chart and Report Engine • Analysis Engine • Data Compression • Integration Lots of tools Multiple vendors IT driven Months to change High Cost One tool One vendor End user driven Minutes to change Low Cost OLAP, Query and Reporting tools Data Marts Data Warehouse Integration Layer (ETL)

  19. Simplifying Analysis for Everyone Everyone Else “Fast Implementation” “Easy-to-Use” “Powerful” “Flexible” “Integrated” “Low Cost” “Risk-Free” • QlikView New Rules • Fast Implementation… Customers are live in less than 30 days, and most in a week • Easy to Use… End users require no training and enjoy “qliking” through the application • Powerful… Near instant response time on data volumes as high as a billion records across thousands of users • Flexible… Allows unlimited dimensions and measures and can be modified in seconds • Integrated… Dashboards, analysis and reporting in a single solution and on a single architecture • Low Cost… Less costly, shorter implementations result in fast return on investment • Risk-Free… Fully-functional free trial download, and a seeing-is-believing experience QlikView Value Proposition: 1/4 the Time, 1/2 the Cost, 2x the Value

  20. What Would You Say If… • You could deploy a complete Business Analysis system— …typically in just 2-3 weeks? • You could build and deploy new applications— …in just days or weeks? • You could have unlimited multi-dimensional access to your data— …using point-and-click, easy-to-use applications? • You could access a billion records— …in seconds? • You didn’t have to build a data warehouse— …at all? What if all of this was actually possible?

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