1.
Personal BI to
Personal Data Science
Mulkens Jan Hermans Kimberly
Microsoft BI Consultant Data scientist
Twitter: @JanMulkens
Blog: www.janmulkens.be

2.
Thank you to our sponsors

3.
Jan Mulkens
Microsoft BI Consultant
Ordina Belgium
“I love the Power BI experience from desktop to mobile.
Put on top of that the community and the continuous stream
of high value releases and it’s clear why Power BI is the future.”

4.
Kimberly Hermans
My favourite thing about Power BI is its ease to work with.
Within hours I know what my data looks like, what story it tells
and how I should start my modelling phase.
Data Scientist & CRM consultant
Ordina Belgium

5.
Agenda
• Introduction
• Corporate BI & DS
• Goals
• Solution
• Personal BI & DS
• Goals
• Solution
• Applying Power BI “With Power BI, it’s simple. Everything becomes possible.”
Philip Dean, Tees and Hartlepool National Health Services Trust

6.
Introduction
Power BI can not only be used to democratize BI across
the enterprise, but also to democratize Data Science
across the enterprise.

7.
2012-Valuevsdifficulty

8.
Value
Source: Gartner (October 2014)
http://www.gartner.com/newsroom/id/2881218
2014-Datatoaction
Data Science
Traditional BI

9.
End User Everyone
The age of
Classic BI
EndUserIT Analyst
The age of
Self Service BI
The age of
Data Culture
DataCulture

10.
Corporate BI & DS

11.
Corporategoals

12.
Corporategoals

13.
CorporateSolution
Solution created by IT.
Established corporate context & is
reusable, scalable and backed up.

14.
CorporateBusinessIntelligence
... ?

15.
CorporateDataScience
... ?

16.
CorporateDataScience
Traditional
research
Danger
zone
Machine
Learning
DATA
SCIENCE
Domain
expertise

17.
CorporateDataScience
Up to
15hrs / week
Up to
15hrs / week
Up to
15hrs / week
Full work week
Up to 4 hrs
/ week
Source: Generalized from O’Reilly’s “2015 Data Science Salary Survey” (sep 2015)
ETL Data Cleaning Machine LearningExploratory Data Analysis

18.
Personal BI & DS

19.
PersonalGoals
Remove frictions between users and data
• Business-driven vs IT-driven
• Rapid delivery
• “Less” governance
• Freedom vs Standardized

20.
PersonalSolution
BI solution created by a user.
Context is only for user & exists as a document

21.
PersonalBusinessIntelligence

22.
PersonalDataScience

23.
Applying Power BI

24.
PersonalDataScience
1) Problem statement

25.
Demand forecasting
• Public biking system Washinton
• +/- 350 stations
• Peaks in demand & supply
• Goal of project:
optimize planning of relocating bikes

26.
PersonalDataScience
2) Get Data
1) Problem statement

27.
PersonalDataScience
2) Get Data
3) Enforce Data Quality
1) Problem statement

28.
PersonalDataScience
2) Get Data
4) Exploratory Data Analysis
3) Enforce Data Quality
1) Problem statement

29.
PersonalDataScience
2) Get Data
5) Feature engineering
4) Exploratory Data Analysis
3) Enforce Data Quality
1) Problem statement

30.
?

31.
PersonalDataScience
2) Get Data
5) Feature engineering
4) Exploratory Data Analysis
3) Enforce Data Quality
1) Problem statement
6) Form hypotheses

32.
Patterns per station

33.
Pattern similarity between stations

34.
Pattern similarity between stations

35.
PersonalDataScience
2) Get Data
5) Feature engineering
4) Exploratory Data Analysis
3) Enforce Data Quality
1) Problem statement
6) Form hypotheses
7) Machine Learning

36.
Takeaway
1) BI vs DS
2) Personal BI & DS
3) Power BI!

37.
http://community.powerbi.com
https://support.powerbi.com
https://www.youtube.com/user/mspowerbi
Resources

38.
https://app.powerbi.com/visuals
Gallery
• Made for the Community
by the Community
• Use in Power BI Desktop or
online at Power BI.com
• Create new custom visual
with Developer Tools

39.
Gallery

40.
Questions?

41.
Thank You!