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Big data and bi best practices slidedeck


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Watch Glen Rabie, CEO of Yellowfin, and Fred Gallahger, GM of Actian Vectorwise take you through 7 of the Best Practices for Big Data and BI.

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  • 1. Big Data and BIBest Practices
  • 2. Your presenters Year | LastYellowfin CEO, Glen RabieGeneral Manager, Actian Vectorwise,Fred Gallagher
  • 3. About Actian and YellowfinMaking Business Intelligence easy Taking Action on Big Data History of 100GB TPC-H Performance Benchmarks Composite Queries Per Hour (Non-Clustered) 500,000.00 400,000.00 QphH@100GB 300,000.00 200,000.00 100,000.00 - Non-Vectorwise Vectorwise
  • 4. Data isthe newoilDavid McCandlesData Journalist
  • 5. The rise and rise of Big Data
  • 6. There has always been Big Data… Its just that now we can actually capture and mine it effectively.Canadian Tar Fields
  • 7. Not all Big Data is created EqualPlanet Google and friends are the outliers Large Telco The Norm .
  • 8. Do you have a Big Data problem?
  • 9. Big Data for Everyone• Big data is not just for data scientists and bespoke projects• Its for decision makers and data consumers• It needs to be anchored in the real world Analyst Consumers
  • 10. Who is benefitting from Big Data?
  • 11. Who is benefitting from Big Data?
  • 12. Why bother with Big Data? of organizations collect60% more data than they can effectively use (MIT Sloan Management Review)
  • 13. Why bother with Big Data? of organizations see70% Big Data as a big business opportunity (Harris Interactive) of organizations investing70% in Big Data initiatives expect ROI within 1 year (Harris Interactive)
  • 14. Why bother with Big Data? of organizations that84% actively leverage Big Data say they can now make better decisions (Avanade)
  • 15. Best Practices in Big DataFred Gallagher, Actian Corporation
  • 16. What is Big Data?
  • 17. Best Practice #1 Focus on what you want to achieve
  • 18. It’s all about driving value
  • 19. Big Data Levers1. Personalization2. Social3. Search4. Find opportunities5. Actionable Insights
  • 20. Best Practice #2 Identify the data you have vs The data you need
  • 21. Does your data match what you wantto achieve?
  • 22. What data do you need?
  • 23. Best Practice #3 Use the right Big Data tool for the job
  • 24. Big Data and Hadoop
  • 25. Big Data Eco-system Social Media Analytic Hadoop Databases Storage BIG Search DATA NewSQL “as-a-service” NoSQL Document Operational BigTable Database Key Value Graph
  • 26. Best Practice #4 Use a fast database
  • 27. Slow Query Performance is the#1 issue in BIBI Survey 10: Why BI Projects Fail?1. Query Performance Too SlowTDWI Best Practices Report“45% Poor Query Response the top problem that will eventuallydrive users to replace their current data warehouse platform.”Gartner Magic Quadrant Data Warehousing70% of data warehouses experience performanceconstrained issues of various types
  • 28. User Expectations Web-Based Business Intelligence Users expect results in less than 10 seconds Mobile BIUsers expect results in less than 3 seconds
  • 29. Use a fast databaseTraditional Database Analytical Database Clustered Database
  • 30. Consider the hidden costs Spend Less on Hardware Get faster results on smaller hardware configurations. Spend Less Time Database Tuning Faster deployment and BI projects. No more aggregates, cubes, complex schemas, etc
  • 31. Best Practice #5 Plan for a mixed architecture
  • 32. Hadoop and BI architecture HadoopTransactional Fast Database BI Tool External
  • 33. Best Practice #6Ensure mass distribution of your data
  • 34. Big Data for Everyone Visualizations Alerts Access Anywhere
  • 35. Best Practice #7 Tailor data delivery to each audience
  • 36. Give your audience what they wantDemographics Interactive Reports Statistics KPIs Maps Collaboration
  • 37. Visualization is powerful Looks like Pac-man Does not look like Pac-man 169 41 Looks like Pac-man Does not look like Pac-man
  • 38. Big Data Visualization Tips• More data requires more focus• Interactivity is essential• Select the right metrics• Provide context• Support and prompt action
  • 39. Demonstration
  • 40. Big Data and BI Best Practices1. Focus on what you want to achieve2. Identify the data you have vs The data you need3. Use the right Big Data tool for the job4. Use a fast database5. Plan for a mixed architecture6. Ensure mass distribution of your data7. Tailor data delivery to each audience
  • 41. ConclusionQuestions
  • 42. | Last Year More @YellowfinBI @ActianCorp Yellowfin LinkedIn User Group Vectorwise LinkedIn User Group