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Home Data Science

Are Your Dashboards and Reports Ignored?

September 2, 2019
in Data Science
Discover how machine learning can solve finance industry challenges by Jannes Klaas
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You’ve spent countless hours preparing a great executive dashboard for your organization. After a few months, you realize that no one is using it.

While you don’t receive any complaints about the dashboard, you also don’t receive any praise. It may feel like a literal gut punch when you went to great efforts to deliver what the organization said was needed. 

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The First Sign of a Problem

You should be concerned when no one is complaining or asking for dashboard modifications. When a dashboard is providing value, the users have improvement ideas or want to see even more information. You should strive for a functional dashboard that drives organizational action. When this happens, the business understands the value of being data-driven.

Three Most Common Reasons Dashboards Are Ignored

Here are the most common dashboard adoption issues – and how to overcome them.

  • Your Dashboard is Beautiful But Not Useful
    Dashboards should contain vital information to the business. 
    • Does management routinely track this information?
    • Are you measuring what is needed or just using available data?
    • Were you asked to create this dashboard?
  • Your Dashboard is Not Trustworthy or Timely
    Once a dashboard is made available, it must have reliable data that is updated regularly. 
    • How often does the data get updated?
    • What checks were done to ensure the data was accurate?
    • Does the data come from a trusted source?
  • Your Dashboard Is In a Secret Location
    Users must understand where to find the dashboard and how they are expected to use it. 
    • Do users have to click multiple links to find the dashboard?
    • How are users made aware of updates?
    • Did anyone provide initial training to the users?

A dashboard is a business investment and a useful executive management tool. Treat it as such.

Read the complete article here, with tips and tricks for solving this issue. 


Credit: Data Science Central By: Tricia Aanderud

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