data visualisation
DESCRIPTION
Presentation by Alan Robson of Methys to Supermondays in May 2012TRANSCRIPT
Data Visualisation
Alan Robson28th May, 2012
Summary• Conceptual Architecture• Visualisation Cookbook• Tools and Trends• Choosing a Tool
Conceptual Architecture
Visualisation Layer
Connection Layer
Extr
act T
rans
form
Loa
dData Warehouse
ERP CRM
HR EPOS
Web
Ops
Data Sources
A Few Possible Visualisations
How do we choose?
What are you trying to show?• Summary / Snapshot• Analysis / Breakdown• Comparison / Benchmarking• Relationship / Correlation• Distribution / Range• Trend / Projection / Pattern
What are you trying to show?
SummaryAnalysis
Comparison
RelationshipTrend Distribution
What Kind Of Data?• Time based– Small number of periods– Large number of periods
• Non-Time based (Static)• Number of Variables or Categories– Single– Dual– Multiple
Some Guidelines on Design• Simplicity– Avoid visual clutter
• Consistency– Colours– Navigation– Layout– Terminology
• Reporting / Highlighting by Exception– Draw user to important / urgent issues
• Is it Intuitive?
Gartner Magic Quadrant
Visualisation Tool Trends• Self Service• Mobile• SaaS / Cloud
Which BI Tool is Right for Us?• Some Considerations– Cost– Application System Landscape– IT Strategy– Future Reporting Requirements– Inhouse IT Technical Competencies– User Competencies– Support Model– Functionality
Summary• Know what you are trying to show, understand
the data• Choose the right visualisation• Keep it Simple, Consistent• Report Exception – avoid overload• Consider all aspects when choosing a vendor
Thank YouAlan Robson
[email protected] 626130
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