Data visualisation

Data Visualisation Alan Robson 28th May, 2012

Summary• Conceptual Architecture• Visualisation Cookbook• Tools and Trends• Choosing a Tool

Conceptual Architecture Visualisation Layer Connection Layer Extract Transform LoadData SourcesWeb ERP CRM Data WarehouseOps HR EPOS

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

AnalysisSummary Comparison What are you trying to show? Trend Relationship 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 You Alan Robsonarobson@methys.com 07775 626130 Business Intelligence Financial Reporting Financial Reporting Systems BusinessIntelligence Energy Solutions Web Intelligence Mobile Apps E-commerce Mobile Apps Web Development E-Commerce Energy Intelligence

Data visualisation

by Justin Souter on Aug 06, 2012

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Data visualisation Presentation Transcript