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.

7. Data Discovery Market

8. SAP Business Objects Explorer

9. SAP Business Objects Lumira/
Predictive Analytics

10. Microstrategy Visual Insight

11. QlikView

12. SAS
Visual
Analy9cs

13. Oracle
Endeca

14. IBM
Cognos
Inside

15. Tableau
SoCware

16. Make
analy9cs
easy.
For
analysts,
execu9ves,
IT,
everyone.

17. Which Tableau product?

18. Tableau
Data
Sources

19. Tableau
visualiza9on

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)

23. Build-­‐in
forecast

24. Outlier

25. Clusters
(kmeans)
Predic9ve
Actual