A New BI Paradigm Data Discovery Brad Peterman Enterprise Client Deployments QlikTech, Inc.

Traditional BI Covers: Dashboards, Reporting, Data Mining, Ad-Hoc Analysis, OLAP, Advanced Visualization, Data Mining, Scorecards These are extremely important capabilities for a BI program, but how well do they help you with the needs 2009 will bring? Find 3 areas to reduce licensing costs across our departmental systems this year Eliminate 3-5 workgroup databases that are managed by our IT staff Reduce ad-hoc query development costs by 80% on our application databases Find all applications not in compliance with the new usage logging standards Compare and correlate metrics based on disparate data Answer: not very well. Why? Traditional BI is built on warehouse, data mart and OLAP data structures that come from the most well-known, well-associated data our businesses have. Meaning, most of the low-hanging fruit of discovery on that data was performed years ago. The harder cost saving solutions will come from those data sources that have hidden association and undiscovered opportunities.

The Real State of the Data Universe Discoveries are made in the mantle, not the core New data sources can be ripe with opportunities Don’t wait for TDWI and Gartner to catch up. Add Data Discovery to your EDW/BI capabilities mix This model only accelerates, it never slows down

Data Discovery – What Is It? def: Uncovering opportunities to improve business results using disparate data sources, democratized processes and low cost solutions. Three key components disparate data sources the good: Insights and opportunities are already documented in our databases. the bad: They are not packaged and connected for our analysis. democratized process the good: We have analysts who know how to improve business results the bad: Our analysts don’t have simple tools they can use to do this analysis low cost solution the good: We know we can’t afford massive IT projects to find these opportunities the bad: We haven’t yet found a better way to do this at a low cost

QlikView for Data Discovery! QlikView’s ability to pull disparate data together with a simple, intuitive interface makes it a great solution for the data discovery capability. Why is QlikView perfect for Data Discovery? associative data model in-memory technology simple, intuitive interface low-cost, simple architecture scalability to grow solutions

License Remediation Use QlikView to connect an application database, its log files, your Active Directory (or other LDAP source) and HR job data to find opportunities to reduce or better optimize license usage. Consulting Cost Reduction Use QlikView to connect to departmental databases, time tracking data sources and HR consultant data to identify manual processes that are being performed by high priced consultants. Data Consolidation Use QlikView to connect a redundant workgroup database (maybe in Access or SQL Server) to an enterprise database and determine the overlap and degree of manipulation needed to migrate data from the workgroup database and then eliminate it.

Why do we need Data Discovery? We are all looking for cost reductions We have the data and insights in our databases We have the analysts who know how to reduce costs We now have a tool that combines them to produce fast results …something traditional BI has not been able to produce The Power of You

Thank You!