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Personal bi to personal data science

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First given at Data Culture Day London - Power BI edition.
Jan Mulkens and Kimberly Hermans show you how Power BI can help your enterprise not only democratize BI but also democratize data science.
More at my blog: http://blog.janmulkens.be/data-science-with-microsoft-personal-bi-to-personal-data-science

Published in: Data & Analytics
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Personal bi to personal data science

  1. 1. Personal BI to Personal Data Science Mulkens Jan Hermans Kimberly Microsoft BI Consultant Data scientist Twitter: @JanMulkens Blog: www.janmulkens.be
  2. 2. Thank you to our sponsors
  3. 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. 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. 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. 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. 7. 2012-Valuevsdifficulty
  8. 8. Value Source: Gartner (October 2014) http://www.gartner.com/newsroom/id/2881218 2014-Datatoaction Data Science Traditional BI
  9. 9. End User Everyone The age of Classic BI EndUserIT Analyst The age of Self Service BI The age of Data Culture DataCulture
  10. 10. Corporate BI & DS
  11. 11. Corporategoals
  12. 12. Corporategoals
  13. 13. CorporateSolution Solution created by IT. Established corporate context & is reusable, scalable and backed up.
  14. 14. CorporateBusinessIntelligence ... ?
  15. 15. CorporateDataScience ... ?
  16. 16. CorporateDataScience Traditional research Danger zone Machine Learning DATA SCIENCE Domain expertise
  17. 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. 18. Personal BI & DS
  19. 19. PersonalGoals Remove frictions between users and data • Business-driven vs IT-driven • Rapid delivery • “Less” governance • Freedom vs Standardized
  20. 20. PersonalSolution BI solution created by a user. Context is only for user & exists as a document
  21. 21. PersonalBusinessIntelligence
  22. 22. PersonalDataScience
  23. 23. Applying Power BI
  24. 24. PersonalDataScience 1) Problem statement
  25. 25. Demand forecasting • Public biking system Washinton • +/- 350 stations • Peaks in demand & supply • Goal of project: optimize planning of relocating bikes
  26. 26. PersonalDataScience 2) Get Data 1) Problem statement
  27. 27. PersonalDataScience 2) Get Data 3) Enforce Data Quality 1) Problem statement
  28. 28. PersonalDataScience 2) Get Data 4) Exploratory Data Analysis 3) Enforce Data Quality 1) Problem statement
  29. 29. PersonalDataScience 2) Get Data 5) Feature engineering 4) Exploratory Data Analysis 3) Enforce Data Quality 1) Problem statement
  30. 30. ?
  31. 31. PersonalDataScience 2) Get Data 5) Feature engineering 4) Exploratory Data Analysis 3) Enforce Data Quality 1) Problem statement 6) Form hypotheses
  32. 32. Patterns per station
  33. 33. Pattern similarity between stations
  34. 34. Pattern similarity between stations
  35. 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. 36. Takeaway 1) BI vs DS 2) Personal BI & DS 3) Power BI!
  37. 37. http://community.powerbi.com https://support.powerbi.com https://www.youtube.com/user/mspowerbi Resources
  38. 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. 39. Gallery
  40. 40. Questions?
  41. 41. Thank You!

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