Best Practices for Choosing a Business Intelligence Dashboard

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Strong Visual Representation

Let’s say that you’re a retail company that makes printed shirts. A BI tool would potentially be important for analyzing how many times your company or one of your products is mentioned on social media. Why? Let’s also hypothetically say that based on Big Data analysis you know that every 1,000 likes and/or tweets that a particular product receives raises the consumption of that product by 10 percent for as long as its presence is viral on social media. This information would obviously impact how much inventory you need to fulfill the projected increase in orders for the previously mentioned product — and essentially a good BI tool should help you connect the dots in real time so that you can take action more quickly.

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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