1. Microsoft Power BI for O365

2. 2
Next hour..
oPower BI for O365
oData Discovery
oData Analysis
oData Visualization & Power Maps
oNatural Language Search (Q&A)
oPower BI Site
oData Management
oSelf Service in Power BI

3. Microsoft Power BI for Office 365Self-service BI with the familiarity of Office and the power of the cloud1 in 4 enterprise customers on Office 365One billion Office users
Analyze
Visualize
Share
Find
Q&A
Mobile
Discover
Scalable | Manageable | Trusted
Power BI is a hybrid solution which is partially implemented on-premises and partially in the cloud via Office 365.

4. Key Components of Power BI –On Premise
4
Power Pivot
Search organizational and Public (Cloud) data
Import, merge, shape and cleanse Data
Manage Shared Queries and Certify Queries
Power View
Discover
Power Query
Map
Power Map
Analyze
Visualize
Create in-memory data model
Create hierarchies and KPI’s
Create derived fields and calculations
Analyze, visualize and display data
Interactive data visualization tool
Delivers intuitive ad- hoc reporting for business users
Create maps and tours of data
Enables story telling using 3-D data
Uses “Bing Map Service”
Free Excel 2013 Plug-ins | Office Pro Plus | Office Professional Plus

5. Key Components of Power BI –O365 Cloud
5
Q & A
View, Analyze and explore data & reports
Share Workbooks and Collaborate
Quick Edits in EWA or open in Excel
Data Catalog
Power BI Site
Data Management Gateway
Bing like Search across Power BI Workbooks
Natural Language Queries
System generated data visualization
Metadata for facilitated search functionality
Manage Shared Queries and Certify Queries
Users can easily discover and reuse queries
Data Refresh to On- Premsources
Schedule periodic data refreshes
Expose tables and views as OdataFeed to external consumers
Cloud Service | Subscription Based | Collaborative Self Service BI
Q&A

6. Additional Functionalities in O365 Cloud 6
Use the Power BI Site to share workbooks with coworkers
Perform Q&A searches on the workbooks
Schedule automatic data refresh
Utilize shared Power Queries (Enterprise Data Search)
Utilize certified Power Queries (Data Stewardship)
Open up corporate data sources via an OData feed (Enterprise Data Search)
Mobile BI App

7. Power BI Workflow
7
Excel Data Model /
Power Pivot
Data Storage
Reports
Excel Workbook
Publish
Workbook
Power BI Admin Center
Power BI App
Text
Database
Web file
O365 (Cloud)
Data Refresh for On PremSources
Corporate Data Refresh

8. 8
Self Service BI using Power BI

9. Data Discovery

10. Powerful self-service BI with Excel 2013

11. Why Power Query ?
Enable self-service data discovery, query, transformation and mashup experiences
Discovery and connectivity to a wide range of data sources, spanning volume as well as variety of data.
Highly interactive and intuitive experience for rapidly and iteratively building queries over any data source, any size.
Consistencyof experience, and parity of query capabilities over all data sources.
Joinsacross different data sources; ability to create custom views over data that can then be shared with team/department.

12. Data Shaping and Manipulation
•Configure Data Types
•Rename and remove columns
•Insert Custom Columns
•Split Columns (i.e. convert delimited text to columns)
•Sort, Group, merge columns
•Un-pivot Columns
•Filter Data
•Replace Value
•Keep top ‘N’ rows or specific range of rows
•Remove Duplicates
Search data, many sources, many transformations, Extensible by code (M language)
Share to Power BI by data catalog

13. Data sources
Windows Azure Marketplace
Windows Active Directory
Azure SQL Database
Azure HDInsight

14. Key Featured Highlights in Power Query
14
Repeatable Steps
Shared Queries
oSee the state of the data before and after each step was applied
oRepeatable steps are repeatable for the same set of data
oSharing of Queries with other users in the organization
oSearch for "Organization" data to discover a shared Power Query

15. Data Analysis

16. Powerful self-service BI with Excel 2013

17. Introducing PowerPivot
•PowerPivot empowers business users to create self- service BI data models in Excel
‐Achieved with a client-side version of SQL Server Analysis Services, known as the In-Memory Analytics Engine
‐Columnar Storage: Can efficiently store data volumes far greater than what Excel worksheets can achieve
‐Data is highly compressed and stored
‐Queries are very fast
•Can import and relate data from corporate, local, and ad hoc data stores
•In Excel 2013 Professional Plus edition, PowerPivot is installed, but not enabled

18. Power Query v/s Power Pivot
18

19. DataSources
Power Query
Power Pivot
Access
X
X
Active Directory
X
Analysis Services
X
Date Feed
X
X
Excel
X
X
Facebook
X
File Folder
X
Hadoop File
X
OdataFeed
X
X
Relational Databases
X
X
SharePoint List
X
SQL Azure DB
X
X
SQL Server
X
X
Text File
X
X
Web
X
Windows Azure HD Insight
X
Windows Azure Marketplace
X
X
XML
X
Power Query v/s Power Pivot –Data Sources

20. What is DAX ?
20
DAX (Data Analysis Expression) is a new calculation for Power Pivot
It is a multi dimensional calculation language intended to:
Make it easy to perform common calculations
Make it easy for excel power users, hence Excel based syntax
DAX expressions are designed to be limited as single line of code
Need to understand the data logic built in power pivot data models
Likely to be extended in the future versions of SSAS

21. Types of Calculations in Power Pivot
21
Calculated Columns
CalculatedFields (Measures)
New Calculationin table which performs calculations on a “row by row” basis (row context)
Example: = ‘Employee’[Fname] & “ “ & ‘Employee’[Lname]
New measure in a table which calculatesan aggregated numeric value (not on "rowby row” basis –filter context)
Example: =TOTALMTD ([SalesUnits], ‘Date’[Datekey])
Created in Power Pivot Modelson the columns
Created in Power PivotModel in the “Calculation area” or in the Power Pivot ribbon menu in excel window
Two type of Calculated Fields
a)Explicit : Defined by the data modeler using DAX
b) Implicit: Uses the “Summarize by” behavior specified in the data model
An Explicit Field canbe further used to define a KPI in the data model

22. Data Visualization

23. Powerful self-service BI with Excel 2013

24. Introducing Power View
•Power View is an interactive data exploration, visualization, and presentation experience
‐Highly visual design experience
‐Rich meta-driven interactivity
‐Presentation-ready at all times
•It delivers intuitive ad-hoc reporting for business users
•Reports can be based on tabular data models, including PowerPivot data models
•It is now also available in Excel 2013, and with new features:

25. Bar and column charts are good for showing measurable values in a quick an direct way
Pie Chart
Pie charts are preferable when the user would like to see the percentage of a measurable value in different categories
Line Chart
Line charts are good for showing how a value changed over time
Play Axis (scatter chart)
Play axis charts are good when you are trying to show the relationship between two measurable values( e.g. profit and cost) ,that may or may not be linearly related, over time.
Maps
Maps are preferable for showing measurable values at specific locations.
Chart Types and Usage

26. 26
Interactive Display

27. 27
Additional Navigation

28. Power Map

29. Powerful self-service BI with Excel 2013

30. Power Map for Microsoft Excel enables information workers to discover and share new insights from geographicaland temporal data through three-dimensional storytelling.
What is Power Map?

31. Map Data
•Data in Excel
•Geo-code
•3-D visuals
DiscoverInsights
•Play over time
•Annotate points
•Capture scenes
Share Stories
•Cinematic effects
•Interactive tours
•Share workbook
Power Map: Steps to 3-D insights

32. Power BI Site

33. Collaborate and stay connected with Office 365
Q&A

34. Natural Language Search (Q&A)

35. Collaborate and stay connected with Office 365
Q&A

36. Mobile BI

37. Collaborate and stay connected with Office 365
Q&A

38. Data Management

39. Extend with hybrid cloud solutions

40. Extend with hybrid cloud solutions

41. Extend with hybrid cloud solutions

42. Self Service in Power BI

43. Features
Power BI (Self Service on Cloud)
On Premise (Self Services)
On Premise (Enterprise)
In memory
Yes
Yes
Yes
Data size
250MB
Configurable up to SharePoint limit (2gb)
Unlimited (or limited by RAM)
Data Refresh
Yes, using Gateway
Yes, Power Pivot Gallery
Yes
Direct access to on premise data
No
Yes
Yes
Refresh from Power Query
Yes
No
No
Render Power Map in browser
No
No
No
Power View HTML5 support (+iPad support)
Yes
No
No
Render Power View Excel Sheets
Yes
Yes (SP 2013), No (SP 2010)
Yes (SP 2013), No (SP 2010)
Create Power View reports
No (Not yet)
Yes
Yes
Support for Power View in Power Point
No (Not yet)
Yes
Yes
Natural Language query support
Yes
No
No
Synonyms
Yes
No
No
Windows Authentication (corporate domain)
Yes (DirSync)
Yes
Yes
Self Service BI –On Premise v/s Cloud

44. Power BI –A Powerful Self Service Tool
44
End Users
oEnd-usershavelongwantedtheabilitytoeasilyaccessandanalyzedata
oQ&A’snaturallanguagequeryandintelligentvisualizationenginewilldomoretoencourageeveryemployeetouseinformationasabasisfordecisions
BI Analysts
oPower Pivot gave power users the ability to build efficient data models over large data volumes, but that information needed to “fit” into clean data models
oPower Query’s data transformation and flexibility further empower analysts to build their own end-to-end solutions quickly
.
IT & Data Stewards
oThe data catalog underlying Power BI is exciting because it promotes self-service and governance simultaneously

45. Thank You
Microsoft Confidential
45
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