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9 oct 2015 TFG KennisdagBI-DWH
Rien Matthijsse
• Data warehouse• Business Intelligence
– Architect– Analyst– Project management– Development
20 jaar zelfstandig ondernemer
Why
this
Presentation
?
Why
Check it out!
SAN FRANCISCO, June 9, 2015 /PRNewswire/ -- Today, Datameer, the only proven big data insights platform for rapid data discovery, announced a technology connector with Tableau Software, a global leader in rapid-fire business analytics. Joint customers of Datameer and Tableau can now consume, shape, enrich, and visualize information for all of their big data needs.
Datawatch Corporation declared the general availability of Datawatch Monarch version 13, its flagship data preparation solution. This new product release significantly extends the range of data sources and provides a simple point-and-click interface built on top of the world’s most powerful data preparation engine. Now users from novice business users to data scientists can easily unlock and use all of the data needed to make better, more timely business decisions with self-service data preparation capabilities.
It’s uniquely able to empower businesses to avoid historical compromises. With Birst business intelligence software, you get astonishing speed for front-end business users and a single version of the truth across your entire data operation.
In the new experience, you create dashboards that keep you informed about what’s most important about your business. Just like a dashboard in your car displays important information about your vehicle, such as its speed, its fuel level, or how healthy the engine is, dashboard in Power BI display important information about your business.
Where do we stand?
Stand
Stand
Selfservice BI
Guided
Ad hoc
Stand
Stand
Visualization
Data
Visualization
Visualization
1780
Visualization
1782
Visualization
1805
Visualization
1861
Visualization
Visualization
I II
III IV
Visualization
Effectiveness
Effectiveness
Effectiveness
Effectiveness
Effectiveness
Effectiveness
1 2
3 4
Maturity
Maturity
Purpose Formatting
Structure Content
Maturity
Purpose Formatting
Structure Content
Maturity
Purpose Formatting
Structure Content
Effectiveness
Effectiveness
Choose
the
right
visualization
Right visualization
Use simple chart types
Right visualization
Choose the right chart type
Right visualization
Not
like
this
Right visualization
But
like
this
Right visualization
Effectiveness
Show
your
data
Do not distort
Distortion
Show your data, do not distort
Distortion
Show your data, do not distort
Distortion
Show your data, do not distort
Stop using
Show your data, do not distort
No …. do not use
Effectiveness
Provide
context
Context
Context
Context
Provide context
• Include targets/references wherever possible
• Include axis with quantitative scales
• Functional use of colors (sparsely)
Context
Quantitative scales
Context
Functional usage of color
Context
Context
Context
No lying
Effectiveness
Make every
pixel
count
Effectiveness
Sir Jonathan Ive
Skeuomorphism
Data Ink
Make every pixel count
Data Ink
Make every pixel count
Data Ink
• Background removed
Make every pixel count
Data Ink
• Background removed• Frames removed
Make every pixel count
Data Ink
• Background removed• Frames removed• Colors, effects and gridlines removed
Make every pixel count
Data Ink
• Background removed• Frames removed• Colors, effects and gridlines removed• Font weights reduced
Make every pixel count
Data Ink
• Background removed• Frames removed• Colors, effects and gridlines removed• Font weights reduced• Direct labels added
Make every pixel count
Data Ink
Make every pixel count
Effectiveness
Consider
medium
of
consumption
Consumption
Different way of handling
Maturity
• Choose the right visualization
• Show your data
• Provide context
• Make every pixel count
• Consider medium of consumption
Effectiveness
1 2
3 4
Effectiveness
Purpose Formatting
Structure Content
Effectiveness
Purpose Formatting
Structure Content
References
• Dundas Data Visualization, Inc
• IBM ManyEyes, advanced visualization
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