Best Practices for Choosing a Business Intelligence Dashboard

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Dashboard Example

This example is of a dashboard whose aim is to communicate retail analysis. It breaks down total stores, total sales, and then separates that from new stores (and the sales done in those stores), making it easy to see how well the new sites are developing. It also connects this year’s sales to last year’s and correlates that information to sales per square foot of store space — which would be essential in calculating whether to open/close new stores in the future, and how many should be opened/closed.  

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.        

 

Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

 
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