Best Practices in Data Visualization

Published On:
November 16, 2015
Authored By:
APQC
Members-Only Content:

Analyzing data and presenting it visually are important competencies as the economy digitizes. However diving into data analytics and visualization leaves organizations with several questions. Which frameworks and techniques can help make our analyses and presentations more effective? How can we help our organizations make better, data-driven decisions? What can we learn from the published works of data visualization experts?

At APQC's 2015 Process Conference, David Doney, vice president of internal audit at SIRVA Inc. and long-time analyst and data visualizer, provided information on best practices in data visualization. His presentation answers many of the questions posed above, including:

  • frameworks and techniques to help make analyses and presentations more effective,
  • advice on how organizations can make better, data-driven decisions, and
  • best practices from data visualization experts.

These are the speaker slides from that presentation. You may APQC's session overview here.

Also found in Presentations from APQC's 2015 Process Conference
Type:
Presentation Slides
Topics:
Productivity, Process and Performance Management, Analytics, Measurement, Corporate Performance Measures, Measurement
Tags:
Data visualization 

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