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Visualization, Dashboards, and Analytics Adoption

A TDWI Certificate Track

Virtual Classroom
May 23–25, 2022
9:00am – 5:00pm CT


The Practical Guide to Data Visualization & Enterprise Dashboard Design

May 24, 2022

9:00 am - 5:00 pm

Duration: Full Day Course

Central Time CT

Prerequisite: None

Nicholas Kelly

Principal Consultant

Delivering Data Analytics

One critical reason analytics projects fail is negative user experience and poor adoption. These points of friction manifest at the user interface level—in other words, the dashboard, the domain of the data visualization team. As the chasm between consumer user experience and enterprise user experience grows, so too does the disaffection for business interfaces.

Dashboards are often designed by a dashboard developer, whose goal is usually to simply load as many features into the dashboard as possible. However, modern consumer UX practices have abstracted complexity from the user interface, a shift that must happen for analytics and business intelligence as well.

This course takes a practical approach to addressing these problems, giving participants the knowledge and processes to ensure dashboards bring value to the business and allow for actionable insights for users. Participants will walk through a live process from business objectives right through to the creation of sketched wireframes.

Note: Registration for this course includes a $180 technology fee to cover the cost of the Dashboard Kit.

You Will Learn

  • Factors affecting dashboard design and adoption
  • Data visualization best practices
  • The elements of good dashboard design
  • What an actionable dashboard looks like
  • Real-world applications and examples
  • Available tools for becoming the “data visualization pro” in your organization
  • Hands-on application of the design process, culminating in the creation of wireframes

Geared To

  • Data scientists
  • Business analysts
  • Executives
  • Consultants
  • IT professionals
  • BI and analytics developers
  • Managers with a need to use data for decision making
  • Anyone who wants to move the needle on the business using data

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