Role of Tableau on the Data Discovery Market
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This document discusses data discovery tools. It defines data discovery as an interactive business intelligence software architecture focused on aggregation, visualization, and iterative analysis through filtering and drill-down. This allows for top-down exploration to form business questions. The document contrasts data discovery with static reporting and lists some popular data discovery solutions. It focuses on Tableau's data discovery capabilities, including connecting to various data sources, visualizations, maps, advanced analyses, and predictive analytics integrated with R for forecasting, outliers, and clustering.
Role of Tableau on the Data Discovery Market
- 1. Data Discover Tools Dmitry Anoshin
- 2. Agenda: • What is Data Discovery? • How can it be implemented. • Existing DD solutions. • Tableau • Tableau and R • Tableau and Qiwi
- 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. What Data Discovery is • 50% — a marketing buzzword • 50% — a BI software architecture built around an interactive approach to analysis
- 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. 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.
- 8. SAP Business Objects Explorer
- 9. SAP Business Objects Lumira/ Predictive Analytics
- 11. QlikView
- 13. Oracle Endeca
- 15. Tableau SoCware
- 16. Make analy9cs easy. For analysts, execu9ves, IT, everyone.
- 20. Tableau geo map based on Longitude and La9tude
- 21. Advance Analyses – ABC based on several clicks
- 22. Tableau&Predic9ve Analy9cs • Build-‐in func9ons such as trending and forecas9ng • Integrate with R (SCRIPT_REAL, SCRIPT_INT, SCRIPT_STR and SCRIPT_BOOL)
- 24. Outlier
- 25. Clusters (kmeans) Predic9ve Actual