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For Application Development & Delivery Professionals

Four Data Visualization Design Steps Help Turn Business Insights Into Action More Effectively

October 27, 2015

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Why Read This Report

As data volumes and information complexity skyrocket, business intelligence (BI) and analytics tools have added data visualization capabilities, helping users move from insights to action by leveraging our ability to visually detect meaningful patterns. Data visualization best practices go beyond technology and involve disciplines like the psychology of visual perception and graphical design. This report introduces a practical checklist that helps AD&D professionals improve both business users' experience and their ability to interpret data and make better decisions.

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Table of Contents

  • Make BI More Insightful With Effective Data Visualization
  • 1. Start With Your Business Requirement
  • 2. Refine Your Use Case Before Designing The Data Visualization
  • 3. Apply Data Visualization Design Best Practices
  • 4. Use Your Data To Tell A Story
  • Recommendations

  • Let Business Users Drive Their Data Visualization Applications
  • Supplemental Material

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