personal bi to personal data science
Post on 10-Jan-2017
1.988 Views
Preview:
TRANSCRIPT
Personal BI to Personal Data Science
Mulkens Jan Hermans KimberlyMicrosoft BI Consultant Data scientist
Twitter: @JanMulkensBlog: www.janmulkens.be
Thank you to our sponsors
Jan MulkensMicrosoft 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.”
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
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
Introduction
Power BI can not only be used to democratize BI across
the enterprise, but also to democratize Data Science
across the enterprise.
2012 - Value vs difficulty
Action Decision
Interactive dashboardsWhy did it happen?
PredictionsWhat will happen?
RecommendationsWhat should I do?
Decision automation
Decision support
Data
Static reportsWhat happened? Manual process
ValueSource: Gartner (October 2014)http://www.gartner.com/newsroom/id/2881218
2014 - Data to action
Data Science
Traditional BI
End User
Everyone
The age ofClassic BI
End UserIT Analyst
The age ofSelf Service BI
The age ofData Culture
Data Culture
Corporate BI & DS
Corporate goals
Corporate goals
Corporate Solution
Solution created by IT.Established corporate context & is reusable, scalable and backed up.
Corporate Business Intelligence
... ?
Corporate Data Science
... ?
Corporate Data Science
Traditionalresearch
Dangerzone
MachineLearning
DATASCIENCE
Hacking
skills
Math
& st
at
know
ledg
e
Domainexpertise
Corporate Data Science
Up to15hrs / week
Up to15hrs / week
Up to15hrs / week
Data
Cleaning
Exploratory
Data Analysis
Full work week
Machine
Learning
ETL 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
Personal BI & DS
Personal GoalsRemove frictions between users and data
• Business-driven vs IT-driven
• Rapid delivery
• “Less” governance
• Freedom vs Standardized
Personal Solution
BI solution created by a user.Context is only for user & exists as a document
Personal Business Intelligence
Personal Data Science
Applying Power BI
Personal Data Science1) Problem statement
Demand forecasting• Public biking system Washinton
• +/- 350 stations
• Peaks in demand & supply
• Goal of project: optimize planning of relocating bikes
Personal Data Science
2) Get Data1) Problem statement
Personal Data Science
2) Get Data3) Enforce Data Quality
1) Problem statement
Personal Data Science
2) Get Data
4) Exploratory Data Analysis3) Enforce Data Quality
1) Problem statement
Personal Data Science
2) Get Data
5) Feature engineering4) Exploratory Data Analysis3) Enforce Data Quality
1) Problem statement
?
Personal Data Science
2) Get Data
5) Feature engineering4) Exploratory Data Analysis3) Enforce Data Quality
1) Problem statement
6) Form hypotheses
Patterns per station
Pattern similarity between stations
Pattern similarity between stations
Personal Data Science
2) Get Data
5) Feature engineering4) Exploratory Data Analysis3) Enforce Data Quality
1) Problem statement
6) Form hypotheses7) Machine Learning
Takeaway
1) BI vs DS2) Personal BI & DS3) Power BI!
http://community.powerbi.com
https://support.powerbi.com
https://www.youtube.com/user/mspowerbi
Resources
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
Gallery
Questions?
Thank You!
top related