This document discusses Badoo's use of MicroStrategy for business intelligence and analytics. It describes how MicroStrategy helped Badoo overcome challenges with their previous BI tool by providing dimensional modeling, self-service reports, and weekly releases. It highlights how MicroStrategy enabled data discovery, analysis delivery, and reporting for over 90 users across various teams. The document also provides examples of query optimizations in MicroStrategy that improved performance. Finally, it discusses how MicroStrategy has enabled Badoo to empower users through visual insights, transaction services, command manager automation, and streamlined web deployments.

1. at
Dorota Kuleszo
Francesco Mucio MicroStrategy Symposium, London, 22 april 2016

2. What is ?
● Social Network for meeting people near you
● Over 300M users in 190 countries
● 200 employees based in London and Moscow
● Over 100M downloads on Android
● Also on iOS, Windows Phone, Web and Mobile Web
● Very Agile working environment

3. ● We needed a proper BI tool - among 14 candidates
● Our data volumes - user level data
● Environment - Linux, Database, SSO
● Technical users with high expectations
Why ?

4. ● Hard to set up in our environment
● No real dimensional model
● Data/ETL Team had to prepare data for us
● Time to onboard users and earn their trust
vs

5. What does with
now?
● Fancy Dashboards around the office
● Data Discovery tools
● Analysis delivered by email
● Self Service Reports
● Weekly releases
90+ Users in Finance, Billing, Marketing, Developers, User
Ops, Founders

6. ‘s BI Architecture

7. ‘s BI Architecture

8. Badoo’s Database
EXASOL is an Massive Parallel Processing (MPP) database.
It is an in memory columnar database.
● 8 Nodes (plus 1 spare) with 5.6 TB of RAM
● ~100 TB of Raw Data - ~30 TB of Data on Disk
● Each node has 8 TB of Disk, in RAID 2
and redundancy factor = 2

9. and
Query Generation Time: 0:00:00.13
Total Elapsed Time in Query Engine: 0:18:36.68
Sum of Query Execution Time: 0:16:08.46
Sum of Data Fetching and Processing Time: 0:01:03.73
Sum of Data Transfer from Datasource(s) Time: 0:00:57.93
Sum of Analytical Processing Time: 0:00:00.00
Sum of Other Processing Time: 0:01:24.49
Sum of Cube Publish Time 0:19:06.37
Number of Rows Returned: 5759450
Number of Columns Returned: 38
Number of Temp Tables: 0
Total Number of Passes: 15
Number of Datasource Query Passes: 15
Number of Analytical Query Passes: 0

10. Query Improvements
● Use real tables
● Use parallelization
● Use the Pre/Post Processing statements
and

11. and
Query Generation Time: 0:00:00.13
Total Elapsed Time in Query Engine*: 0:11:18.82
Sum of Query Execution Time: 0:18:30.86
Sum of Data Fetching and Processing Time: 0:01:04.82
Sum of Data Transfer from Datasource(s) Time: 0:00:59.37
Sum of Analytical Processing Time: 0:00:00.00
Sum of Other Processing Time: 0:01:55.12
* This report has some passes that have been executed in parallel.
Individual time components may not add up to Total Elapsed Time in Query
Engine.
Sum of Cube Publish Time 0:11:28.63
Number of Rows Returned: 5759450
Number of Columns Returned: 38
Number of Temp Tables: 17
Total Number of Passes: 49
Number of Datasource Query Passes: 49

12. and
Query Generation Time: 0:00:00.09
Total Elapsed Time in Query Engine: 0:02:43.29
Sum of Query Execution Time: 0:00:53.08
Sum of Data Fetching and Processing Time: 0:00:52.09
Sum of Data Transfer from Datasource(s) Time: 0:00:47.83
Sum of Analytical Processing Time: 0:00:00.00
Sum of Other Processing Time: 0:00:58.10
Sum of Template Calculate Time 0:00:00.00
Sum of AE Data Persisting Time 0:00:00.46
Sum of Cube Publish Time 0:02:56.36
Number of Rows Returned: 4702678
Number of Columns Returned: 38
Number of Temp Tables: 12

13. Enable Your Users
with
Visual Insight

14. ● High Level Dashboards
● Analysis Dashboards
● OLAP Reports
Enable Your Users with Visual Insight

18. ● High Level Dashboards
● Analysis Dashboards
● OLAP Reports
Enable Your Users with Visual Insight
This is still not enough for our users!

20. Let Your Users
Do the Legwork
with
Transaction Services

21. Enable Your Users with Transaction Services
● Agile environment
● New analysis have an assessment period
● People just like to play with data
This was just bad
Time consuming
Self esteem problems
We would end up hating our users

22. Enable Your Users with Transaction Services
“We have a Coefficient that we would like to use in our
calculation, this can be different for Campaign Media Source,
Country, and Platform...”
200+ Media Sources
254 Countries
12 Platforms
200+ x 254 x 12 = 609600!

23. Enable Your Users with Transaction Services
We had to convince them to have a go with
Transaction Services!

24. Enable Your Users with Transaction Services

25. Enable Your Users with Transaction Services

26. Enable Your Users with Transaction Services

27. Don’t Reinvent
the Wheel
Just Use MicroStrategy

28. Don’t reinvent the wheel: use MicroStrategy
Problem: Deliver a csv file to an external location.
Proposed Solution:
❏ Generate the data
❏ Put the data on a local drive
❏ Create a tool to copy it remotely

29. Don’t reinvent the wheel: Use MicroStrategy

30. Beat The Commute
Learn to use
Command Manager

31. Save Time with Command Manager

32. Few things we do with Command Manager
● Cube Refresh
● Start Schedules
● Manage Our Users
● Configure Database Connections
Save Time with Command Manager

34. My two cents about Command Manager:
● Get familiar with it
● Try to script repetitive tasks
● Integrate it with other tools
Save Time with Command Manager

35. MicroStrategy Web Deployment
Made Easy

36. MicroStrategy Web Deployment Made Easy
What we started with:
● MicroStrategy WAR File
● SDK Customizations
● Deployment scripts
● Settings changes
- Deployed Manually
- Deployed Manually
- Executed Manually
- Undocumented

37. MicroStrategy Web Deployment Made Easy

38. 1. GIT
2. Maven
3. Jenkins
MicroStrategy Web Deployment Made Easy

49. that’s all folks… maybe

50. q & a