This document discusses using natural language questions (Q+A) in Power BI. It covers building effective data models, using synonyms, and how the system interprets questions and selects visualizations. The speaker's goals are to increase familiarity with Power BI capabilities in Office 365 and the cloud. Various tips are provided for data modeling best practices like fixing relationships, renaming for clarity, and setting default fields and labels.

2. Power BI: Askingquestions the natural way
using Q + A
Bjoern H Rapp

3. About me
Business Developer at Steria Twitter: @bjoern_rapp
SharePoint MVP and MCTBlog: www.sharepointviking.com
10 + years in system devEmail: safetox@hotmail.com

4. AGENDA
•Power BI Primer
•Q & A
•Building Models
•Synonyms
•Behind the scenes

5. My Goals for the session…not like this.

6. but this……!! .

7. POWER BI familiarity of Office and the power of the cloud
EXCEL 2013
POWER BI for Office 365
Discover
Analyze
Visualize
Share
Find
Mobile

8. Building Models -Modeling Tips
•Fixing Missing Relationships
•Renaming Tables and Columns
•Choose a default Field Set for each table
•Choose a default Label for each table
•Fix incorrect data types
•Mark year and id columns as “Do not Summarize”
•Choose a data category for each data and geo col
•Choose a sort by column for relevant column

9. Building Models –Missing Relationships
POOR
BETTER

10. Building Models –Renaming tables and columns
POOR
BETTER

11. Building Models–Default field set for each table

12. Building Models–Default label for each table

13. Building Models –Fix incorrect data types

14. Building Models –Do not summarize id and date columns

15. Building Models –Choose a Data Category for each date and geography column

16. Building Models –Choose a Sort By Column for relevant columns

17. Building Models –Normalize your model
POOR
BETTER

18. Synonyms
•Unique for Q + A

19. 1. Sharing Questions
•Sharing links
•Featured Questions

20. 1. Behind the scenes –Choosing the best answer
Search for interpretations of questions
Score and select best interpretation
Select best visual

21. 1. “medal count by country for 2012”
Search for interpretations of questions
Score and select best interpretation
Select best visual
from Olympics.xlxs
show medal[medal count], medal[country]
Where Olympics[year] = 2012
from Olympics.xlxs
show medal[medal count], Olympics[host country]
where olympics[year] = 2012
from Sales.xlxs
show customer[country]
where order[order year] = 2012

22. 1. “medal count by country for 2012”
Search for interpretations of questions
Score and select best interpretation
Select best visual
from Olympics.xlxs
show medal[medal count], medal[country]
Where Olympics[year] = 2012
from Olympics.xlxs
show medal[medal count], Olympics[host country]
where olympics[year] = 2012
from Sales.xlxs
show customer[country]
where order[order year] = 2012
0.86
0.72
0.46

23. 1. “medal count by country for 2012”
Search for interpretations of questions
Score and select best interpretation
Select best visual
from Olympics.xlxs
show medal[medal count], medal[country]
Where Olympics[year] = 2012
from Olympics.xlxs
show medal[medal count], Olympics[host country]
where olympics[year] = 2012
from Sales.xlxs
show customer[country]
where order[order year] = 2012
0.86
0.72
0.46

24. 1. Influencing the best answer
Search for interpretations of questions
Score and select best interpretation
Select best visual
Data modeling,
synonyms
Workbooks in site
Data modeling (data types, data categories)

26. 1.
THANK YOU!