data visualisation

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

arobson@methys.com07775 626130

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