Visualisatie wordt steeds belangrijker: het business intelligence-systeem van uw organisatie kan niet zonder geavanceerde functionaliteit op dit gebied. Bij IBM hebben we uitgebreide mogelijkheden voor visualisatie geïntegreerd in ons complete softwareportfolio met Rapidly Adaptive Visualization Engine (RAVE). Tijdens deze sessie hoort u wat u allemaal kunt met visualisatie en krijgt u praktische richtlijnen voor een effectieve inzet in uw organisatie. Eva Haakman is als Technical Sales Specialist werkzaam binnen IBM Business Analytics en heeft ruim 14 jaar ervaring in business intelligence en information management.

1. IIBM
BUSIINESS ANALYTIICS SUMMIIT
22001144
Eva Haakman
Technical Sales Specialist Business Analytics
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2. Haal heldere inzichten uit complexe data met
Visualisatie
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3. Visualization
GAINING VALUE FROM YOUR DATA
Topics:
Importance of visualization
Understanding data
RAVE extensible visualization
Creating effective visualizations
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4. DATA VISUALIZATION
SIMPLIFYING THE COMPLEX
YouTube:
8.6TB
Created by
individuals:
75%
Twitter:
4TB
Email:
21PB
Facebook:
15TB
Oil Refinery:
750GB
Wind Turbine:
144GB
Created by
companies:
25%
Daily Amount of Data Created
Terabyte (TB)=1000 Gigabytes
Petabyte (PB)= 1 Million Gigabytes
=2.5 exabytes
Exabyte= 1 Billion Gigabytes Source: http://marscommons.marsdd.com/the-data-visualizers/market

5. SPREADSHEETS CAN’T FULLY
UNLOCK THE VALUE FROM DATA

6. PATTERNS DETECTED MORE
EASILY THROUGH VISUALS
“A great
visualization
is worth a million
data points”
http://en.wikipedia.org/wiki/Anscombe%27s_quartet
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7. Visualizing 600,000 TRANSACTIONS

8. Driving Factors for
VISUALIZATION
Inability to see patterns
All data points can’t fit on a single screen
Deep and broad data sets not shown effectively
http://blogs.forrester.com/boris_evelson/12-07-17-advanced_data_visualization_a_critical_bi_component
3 key drivers:

9. IBM Solution
RAPIDLY ADAPTIVE VISUALIZATION
ENGINE (RAVE)
A simple descriptive language to describe a chart
Flexible enough to describe all known charts and extensible to
describe new and innovative visualizations
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10. RAVE– The Engine Driving
IBM VISUALIZATIONS
SPSS Analytic
Catalyst
Cognos Insight
Analytical Decision
Management
Cognos Business Intelligence

11. IBM Watson Analytics
NEXT GENERATION OF DATA
DISCOVERY

12. RAVE
CREATING NEW VISUALIZATIONS FOR
THE MARKETPLACE
The old way… The new way…
Analytics & Visualization Engine
Fixed
Charting
Library
Fixed
Charting
Library
Visualization
Description
Analytics & RAVE Visualization
Engine
Extensible
Charting
Library
Extensible
Charting
Library

13. IBM COGNOS
VISUALIZATION
CUSTOMIZER
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14. RAVE Example
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15. Visualizations Integrate With
COGNOS BI - SUPPORTED ON MOBILE
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16. DEMO - Leveraging RAVE Visualizations
in Cognos Business Intelligence
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17. The Upside of Flexibility
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18. Four Pillars
OF VISUALIZATION
A Successful Visualization has 4 key elements
Purpose Why this visualization
Content What needs to be visualized
Structure How should we visualize it
Formatting How useful is it
Noah Iliinsky – Visualization Expert – IBM Center for Advanced Visualization
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19. PURPOSE AND CONTENT
1. Who is my customer?
2. What are their actions/decisions that I need to inform?
3. What specific questions do I need to answer?
4. What content do I need to display?
5. What graph type (structure) should I use?
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20. STRUCTURE serves your PURPOSE
Visualization options
available on Many Eyes
http://manyeyes.com/software/data/cognos/manyeyes/page/Visualization_Options.html

21. The Most Important Design Decision
STRUCTURE
The right structure allows
you to represent many
dimensions clearly

22. The Frosting is
TTHEE FFORMAATTTTIING
Formatting is the frosting on your visualization;
it should enhance, not distract.

23. THE IBM DIFFERENCE
Create rapid, more innovative
visualizations
Watson Analytics
IBM Center for Advanced
Visualization
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24. WHAT’S NEXT?
Visit AnalyticsZone.com for:
Extensible visualization gallery
Expert articles
Best practices

25. IIBM
BUSIINESS ANALYTIICS SUMMIIT
22001144
TThhaannkk yyoouu
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