Data visualisation

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Presentation by Alan Robson of Methys to Supermondays in May 2012

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Data visualisation

  1. 1. Data Visualisation Alan Robson 28th May, 2012
  2. 2. Summary• Conceptual Architecture• Visualisation Cookbook• Tools and Trends• Choosing a Tool
  3. 3. Conceptual Architecture Visualisation Layer Connection Layer Extract Transform LoadData SourcesWeb ERP CRM Data WarehouseOps HR EPOS
  4. 4. A Few Possible Visualisations How do we choose?
  5. 5. What are you trying to show?• Summary / Snapshot• Analysis / Breakdown• Comparison / Benchmarking• Relationship / Correlation• Distribution / Range• Trend / Projection / Pattern
  6. 6. AnalysisSummary Comparison What are you trying to show? Trend Relationship Distribution
  7. 7. 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
  8. 8. 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?
  9. 9. Gartner Magic Quadrant
  10. 10. Visualisation Tool Trends• Self Service• Mobile• SaaS / Cloud
  11. 11. 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
  12. 12. 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
  13. 13. 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

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