Role of Tableau on the Data Discovery Market

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Role of Tableau on the Data Discovery Market

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Role of Tableau on the Data Discovery Market

  1. 1. Data  Discover  Tools   Dmitry  Anoshin  
  2. 2. Agenda: •  What is Data Discovery? •  How can it be implemented. •  Existing DD solutions. •  Tableau •  Tableau and R •  Tableau and Qiwi
  3. 3. What Data Discovery is not •  A static report that’s dropped into your inbox once a month. •  A static report that’s dropped into your inbox once a week. •  A static report. •  A report. (although all DD software CAN be used for reporting)
  4. 4. What Data Discovery is •  50% — a marketing buzzword •  50% — a BI software architecture built around an interactive approach to analysis
  5. 5. What’s in that approach? •  Interactivity. •  Focus on aggregation and visualization. •  Ability to quickly change filters and query conditions. => iterative approach to formulating business questions. •  Top-down approach to analysis via drill-down.
  6. 6. How is it applied in practice Reporting •  Provides DATA, not knowledge. •  Doesn’t appear on itself. You need analysis before you know what kind of report you need to receive. •  Used primarily for direct actions on the lowest level. Data Discovery •  Provides WISDOM •  Most commonly encountered as dashboards. •  Illuminates general trends and phenomena, hinting what sort of analysis should be undertaken. •  Staging ground for reports.
  7. 7. Data Discovery Market
  8. 8. SAP Business Objects Explorer
  9. 9. SAP Business Objects Lumira/ Predictive Analytics
  10. 10. Microstrategy Visual Insight
  11. 11. QlikView  
  12. 12. SAS  Visual  Analy9cs  
  13. 13. Oracle  Endeca  
  14. 14. IBM  Cognos  Inside  
  15. 15. Tableau  SoCware  
  16. 16. Make  analy9cs  easy.   For  analysts,  execu9ves,  IT,  everyone.  
  17. 17. Which Tableau product?
  18. 18. Tableau  Data  Sources  
  19. 19. Tableau  visualiza9on  
  20. 20. Tableau  geo  map  based  on  Longitude   and  La9tude  
  21. 21. Advance  Analyses  –  ABC  based  on   several  clicks  
  22. 22. Tableau&Predic9ve  Analy9cs   •  Build-­‐in  func9ons  such  as  trending  and   forecas9ng   •  Integrate  with  R  (SCRIPT_REAL,  SCRIPT_INT,   SCRIPT_STR  and  SCRIPT_BOOL)  
  23. 23. Build-­‐in  forecast  
  24. 24. Outlier  
  25. 25. Clusters  (kmeans)   Predic9ve   Actual  

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