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Big Data and BIBest Practices
Your presenters Year          | LastYellowfin CEO, Glen RabieGeneral Manager, Actian Vectorwise,Fred Gallagher
About Actian and YellowfinMaking Business Intelligence easy                     Taking Action on Big Data                 ...
Data isthe newoilDavid McCandlesData Journalist
The rise and rise of Big Data
There has always been Big Data…   Its just that now we can actually capture and mine it   effectively.Canadian Tar Fields
Not all Big Data is created EqualPlanet Google and friends are the outliers                         Large Telco           ...
Do you have a Big Data problem?
Big Data for Everyone• Big data is not just for data scientists and bespoke  projects• Its for decision makers and data co...
Who is benefitting from Big Data?
Who is benefitting from Big Data?
Why bother with Big Data?          of organizations collect60%       more data than they can          effectively use     ...
Why bother with Big Data?          of organizations see70%       Big Data as a big          business opportunity          ...
Why bother with Big Data?          of organizations that84%       actively leverage Big Data          say they can now mak...
Best Practices in   Big DataFred Gallagher, Actian Corporation
What is Big Data?
Best Practice #1       Focus on what     you want to achieve
It’s all about driving value
Big Data Levers1.   Personalization2.   Social3.   Search4.   Find opportunities5.   Actionable Insights
Best Practice #2 Identify the data you have              vs    The data you need
Does your data match what you wantto achieve?
What data do you need?
Best Practice #3    Use the right Big Data       tool for the job
Big Data and Hadoop
Big Data Eco-system            Social            Media                              Analytic                              ...
Best Practice #4     Use a fast database
Slow Query Performance is the#1 issue in BIBI Survey 10: Why BI Projects Fail?1. Query Performance Too SlowTDWI Best Pract...
User Expectations                        Web-Based                        Business Intelligence                        Use...
Use a fast databaseTraditional Database   Analytical Database   Clustered Database
Consider the hidden costs      Spend Less on Hardware      Get faster results on smaller      hardware configurations.    ...
Best Practice #5        Plan for a mixed          architecture
Hadoop and BI architecture  HadoopTransactional                Fast Database   BI Tool  External
Best Practice #6Ensure mass distribution of        your data
Big Data for Everyone        Visualizations         Alerts        Access Anywhere
Best Practice #7    Tailor data delivery to        each audience
Give your audience what they wantDemographics   Interactive Reports      Statistics      KPIs           Maps            Co...
Visualization is powerful     Looks like Pac-man   Does not look like Pac-man            169                      41      ...
Big Data Visualization Tips•   More data requires more focus•   Interactivity is essential•   Select the right metrics•   ...
Demonstration
Big Data and BI Best Practices1. Focus on what you want to achieve2. Identify the data you have vs The data you   need3. U...
ConclusionQuestions
| Last Year More InformationYellowfinwww.yellowfinbi.comVectorwisewww.actian.com/products/vectorwise        @YellowfinBI  ...
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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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Big data and bi best practices slidedeck

  1. 1. Big Data and BIBest Practices
  2. 2. Your presenters Year | LastYellowfin CEO, Glen RabieGeneral Manager, Actian Vectorwise,Fred Gallagher
  3. 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. 4. Data isthe newoilDavid McCandlesData Journalist
  5. 5. The rise and rise of Big Data
  6. 6. There has always been Big Data… Its just that now we can actually capture and mine it effectively.Canadian Tar Fields
  7. 7. Not all Big Data is created EqualPlanet Google and friends are the outliers Large Telco The Norm .
  8. 8. Do you have a Big Data problem?
  9. 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. 10. Who is benefitting from Big Data?
  11. 11. Who is benefitting from Big Data?
  12. 12. Why bother with Big Data? of organizations collect60% more data than they can effectively use (MIT Sloan Management Review)
  13. 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. 14. Why bother with Big Data? of organizations that84% actively leverage Big Data say they can now make better decisions (Avanade)
  15. 15. Best Practices in Big DataFred Gallagher, Actian Corporation
  16. 16. What is Big Data?
  17. 17. Best Practice #1 Focus on what you want to achieve
  18. 18. It’s all about driving value
  19. 19. Big Data Levers1. Personalization2. Social3. Search4. Find opportunities5. Actionable Insights
  20. 20. Best Practice #2 Identify the data you have vs The data you need
  21. 21. Does your data match what you wantto achieve?
  22. 22. What data do you need?
  23. 23. Best Practice #3 Use the right Big Data tool for the job
  24. 24. Big Data and Hadoop
  25. 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. 26. Best Practice #4 Use a fast database
  27. 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. 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. 29. Use a fast databaseTraditional Database Analytical Database Clustered Database
  30. 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. 31. Best Practice #5 Plan for a mixed architecture
  32. 32. Hadoop and BI architecture HadoopTransactional Fast Database BI Tool External
  33. 33. Best Practice #6Ensure mass distribution of your data
  34. 34. Big Data for Everyone Visualizations Alerts Access Anywhere
  35. 35. Best Practice #7 Tailor data delivery to each audience
  36. 36. Give your audience what they wantDemographics Interactive Reports Statistics KPIs Maps Collaboration
  37. 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. 38. Big Data Visualization Tips• More data requires more focus• Interactivity is essential• Select the right metrics• Provide context• Support and prompt action
  39. 39. Demonstration
  40. 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. 41. ConclusionQuestions
  42. 42. | Last Year More InformationYellowfinwww.yellowfinbi.comVectorwisewww.actian.com/products/vectorwise @YellowfinBI @ActianCorp Yellowfin LinkedIn User Group Vectorwise LinkedIn User Group

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