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Best Practices for Choosing a Business Intelligence Dashboard

  • Best Practices for Choosing a Business Intelligence Dashboard-

    Strong Visual Representation

    This is why visual representation is so important when it comes to choosing a dashboard. Not only do you have to choose the most essential KPI’s to monitor, but you must choose a dashboard that lets you see the forest through the trees, so to speak. Here’s a list of visual properties that a BI tool should be comprised of:

    • It should put key metrics into context so that end users understand the correlating information that can help explain a spike or a dip in performance.
    • The information on a BI dashboard should be dense but not cluttered to the extent that it’s difficult to differentiate data points.
    • It should also have a very low learning curve, meaning that graphs and information should be presented in not only an aesthetic way but in a way that is easy for end users to understand — even if those end users have a relatively low level of technical background.

    At the end of the day, remember that any BI dashboard’s visual representation is extremely important in terms of user experience, and being able to put heightened information to use depends greatly on users being able to understand the information that’s presented to them.

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Best Practices for Choosing a Business Intelligence Dashboard

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
  • Best Practices for Choosing a Business Intelligence Dashboard-4

    Strong Visual Representation

    This is why visual representation is so important when it comes to choosing a dashboard. Not only do you have to choose the most essential KPI’s to monitor, but you must choose a dashboard that lets you see the forest through the trees, so to speak. Here’s a list of visual properties that a BI tool should be comprised of:

    • It should put key metrics into context so that end users understand the correlating information that can help explain a spike or a dip in performance.
    • The information on a BI dashboard should be dense but not cluttered to the extent that it’s difficult to differentiate data points.
    • It should also have a very low learning curve, meaning that graphs and information should be presented in not only an aesthetic way but in a way that is easy for end users to understand — even if those end users have a relatively low level of technical background.

    At the end of the day, remember that any BI dashboard’s visual representation is extremely important in terms of user experience, and being able to put heightened information to use depends greatly on users being able to understand the information that’s presented to them.

As far as business buzzwords go, the terms Big Data, data visualization, data structure, predictive analytics and business intelligence all get thrown around with the frequency of a used car salesman putting together his best customer pitch. In fact, when it comes to acquiring a business intelligence tool, you might hear the mention of these terms ad nauseam. That being said, if you’re truly serious about implementing business intelligence technology into your workflow, then you need to be absolutely positive of the different initiatives that you want to fulfill.

Even if your business intelligence (BI) dashboard ends up looking professional and offers beautifully rendered graphs that you can use to wow your company’s CEO, it won’t mean anything unless you have the right data in the right dashboard. That’s why Himanshu Sareen, CEO of Icreon Tech, has compiled a list of the best practices for choosing a well-designed business intelligence dashboard.