1. Dashboard in an Hour Using Power BI
Farouq Abukhamireh
-Business Intelligence Architect
Dashboard in an Hour Using Power BI

2. Thanks to our GOLD Sponsor

3. Thanks to our SILVER Sponsors

4. Power BI Overview

5. Agenda
What is Power BI
Power BI components
Architecture
Licensing

6. What is Power BI
A tool to turn data into interactive visuals.

7. Power BI components Connect Prepare Visualize Model
In Memory data model:
xvelocity engine
In memory
Data compression (up to x10)
Layer of abstraction
Performance
Measures.
Hierarchies
Row level security
Visualization.
Charts, filters, tables, maps
Reports
Dashboards.
Power BI desktop
FREE
Connect to data
Clean and manipulate data using power query
Model the data
Visualize the data
Share the data.

8. On-Premises Databases
Power BI 2.0 Architecture
Other Cloud
Sources
Web Sources
Dashboards
Reports
Datasets
[Premium Capacity]
End Users
Mobile Apps
Power BI Gateway
On-Premises Files
Web Browser
SSAS
On-Premises Databases
Power BI Desktop

9. Licensing Power BI Free FREE Connect to 70+ data sources
Publish to Web
Export to PowerPoint, Excel, CSV
Power BI Desktop
Connect to data sources
Clean and prepare data
Analyze and build reports with custom visualizations
Publish to the Power BI service
Power BI Pro
$9.99 Per month per user
Build dashboards that deliver a 360-degree, real-time view of the business
Keep data up-to-date automatically, including on-premises sources
Collaborate on shared data
Audit and govern how data is accessed and used
Package content and distribute to users with apps
Power BI Premium
Capacity pricing per node per month
Gain dedicated capacity you allocate, scale, and control
Distribute and embed content without purchasing per-user licenses
Publish reports on-premises with Power BI Report Server
Unlock more capacity and higher limits for your Pro users
Power BI Report Server
On-premises Power BI.
The flexibility to move to the cloud.
included with Power BI Premium

10. Power BI Best Practices

11. Agenda
Goals Loading Best Practices Modeling Best Practices Reporting Best Practices

12. Goals Deliver Effective Visuals. Improve Performance
Reduce size of Data Set.
Shorten Processing time.

13. 3 Distinct Areas of Work inside Power BI
Loading data using Power Query
Connect to data
Prepare data for reporting
Modeling
Relationships between Queries (tables
Measures
Hierarchies
Calculated Tables
Calculated Columns
Create Roles
Reporting
Create reports and Visuals

14. Data Loading Best Practices
Load only the data you need – not more
Tables
Columns
Rows
SQL Server Sources: Import connectivity mode is preferred over Direct Query
SSAS sources: Connect Live is preferred over import

15. Modeling Best Practices
Hide columns that are not needed by end user – improve usability
Create measures
Create hierarchies
Use calculated tables DAX (Role playing dimension tables)
Avoid DAX Calculated columns - Improve Processing time
Avoid using processor heavy DAX functions in measures like FILTER - Query Performance.
Rename objects and give them business friendly names
Tables
Columns
Measures
Hierarchies.

16. Reporting Best Practices
Display high level data first. Allow Drill down. Allow drill through for more details. Minimize the use of filters. Make reports visually appealing. Avoid using pie charts. Horizontal bar charts are favorite. Use visuals and not numbers. Use dashboard theming, Logos Use meaningful Report/dashboard titles.

17. Demo

18. Connect to data Clean and Prepare Data Model The data Create Visuals – reports Publish to Power BI