The document provides an overview of new data analytics capabilities in Excel including Power Query, Power Pivot, and Power View. It discusses three main steps to create insights with Power Query: 1) Get Data from various sources, 2) Shape Data by cleaning, filtering, and transforming it, and 3) Load Data into Excel, Power Pivot, or Power View. It then demonstrates how to build relationships and calculations with Power Pivot and visualize data with Power View and Power Map. The presentation aims to explain Microsoft's new focus on subscriptions, the cloud, and supporting analytics use cases.

1. Excel 2.0
marcel westra
mwestra@microsoft.com

2. Agenda
• Introduction
• The new Excel
• Three steps to create insights
• Detailed explanation of the new Excel functionality
• What’s next
• Questions

3. Introduction
Official
• Ir. Ing. M. R. Westra
• Sr. TSP Business Intelligence
Real
14 years at Microsoft
Advisor for data analytics projects for
Philips, ING, Rabo, RDW, Achmea, Heineken and more

4. Microsoft is changing
from Windows and Office sales machine to Subscription and Usage
• Adoption of non Microsoft technology
• Participation in open Source (Hadoop)
• Cloud First Mobile first

5. The mission of Microsoft

7. Azure

8. Azure for research

10. The new Excel (short demo)

11. Power map
http://www.youtube.com/results?search_query=power+map

12. store and
calculate
Data
maDratta
mart
cleansing de-duplication
Data sciences
get and
shape
find and share
data sets
show
raw data information visualization

13. Power query Power pivot Power map
store and
calculate
Data
maDratta
mart
cleansing de-duplication
Data sciences
get and
shape
find and share
data sets
Power view
show
raw data information visualization

14. Power Query

16. How it works

17. Step 1: Get Data
• Define Connection to a data source
• Database
• Internet page
• File
• Hadoop
• Facebook
• Odata (www.odata.org)

18. Step 2: Shape Data
• Remove Columns
• Filter
• De-Duplicate
• Replace Values
• Split Columns
• Change type
• Unpivot
• Merge
• Standard deviation square and power…

19. Step 3: Load Data
• Initial load
• Append
• Reload

20. demo

21. Get Shape Data
• Excel look and feel
• What you see is what you get
• Rich set of standard data functions
• Generate reusable scripts

22. Power Pivot

23. Power Pivot Engine
• (unlimited)In-Memory Database in Excel on desktop
• Column compression
• Data Analysis Expressions (DAX)
desktop
Server
SQL Server
Analysis Service

24. Power Pivot
• Build relation on the loaded data
• Add Calculations (and KPIs)

25. Step 4 build relations

26. Step 5: add DAX Calculations
DAX Syntax Specification for PowerPivot:
http://msdn.microsoft.com/en-us/library/ee634217.aspx
DAX function reference:
http://msdn.microsoft.com/en-us/library/ee634396.aspx

27. demo

28. Visualizations

29. New visualizations in Excel
• (Time) Slicers
• Power View
• Power Map
• New things will come

30. Pivot Table

31. Power View

32. Power Map

33. demo

34. Power query Power pivot Power map
store and
calculate
Data
maDratta
mart
cleansing de-duplication
Data sciences
get and
shape
find and share
data sets
Power view
show
raw data information visualization

35. Share
• Power Query
• Power Pivot
• Power View

36. Power query Power pivot Power map
store and
calculate
Data
maDratta
mart
cleansing de-duplication
Data sciences
get and
shape
find and share
data sets
Power view
show
raw data information visualization

37. Q&A, natural language

38. Sketch Insight

39. Sand Dance
http://research.microsoft.com/en-us/projects/sanddance/

40. References
Getting started with power query and power map
Connect Excel to Hadoop with Power Query
Getting Started with Power Query - Part 1

41. Other links
http://www.microsoft.com/en-us/powerbi/default.aspx
http://www.powerpivotblog.nl/
http://www.bol.com/nl/p/praktijkboek-powerpivot-in-excel/
9200000010047027/
Bing (or Google )