add share buttons

Why You Need To Know How to Build Business Dashboard Reports?

Dashboard new hype, we all know that. This is actually a term borrowed from the car industry. Sensory brand all important information is right in front of you. There are many types of dashboards around, you will no doubt have heard about the Metrics Dashboard, Business Intelligence Dashboard, Dashboard Operations, Performance Dashboard, the list could go on.
In the world of data overload, the generation of well-designed dashboards can be a fresh breeze that has benefits both Business and Technical for the organization. You can get the best power bi data model via .
Basically all dashboard mentioned above is the same type of communication -a document important data and turn it into relevant information that readers can understand and make decisions. Let's take a close look at why you need to know how to build them.
1. Improved Decision Making: With the right information in front of them faster decisions can be made. Instead of Excel columns and rows of data to wade through, the end-user can easily see trends, dips in sales, sales growth in certain sectors, underperformance. 

Three Steps to Planning a Successful Business Intelligence Project - Aberdeen

Image Source: Google

They will see the top-level analysis of this data, and depending on the metric used can have a bird's eye view of key metrics within the organization.
2.Faster Time To Market: It makes sense if you can see trends in your data, such as the demand for ice cream flavors. You can respond with confidence, make decisions, and apply these to the market as quickly as possible.
3. Increased Competitive Advantage: If you know your metrics, you can get ahead of the competition. Swift decisions could be made-route quickly to the market to provide a competitive advantage over your competitors.
4. Increase Productivity and Profitability: Both then had the results of the three points above. Work on the most accurate vital information without being disturbed by the noise of the data that is always associated with the data overload.