Common Dashboards Key Analytics Mistakes

With the help of a web app dashboard, management can get powerful insights about their business performance, and  everyone in the team can focus on goals and run a business much more efficiently.

While one sets a dashboard for business, they can custom make it or go for reporting solutions that are already integrated with key marketing apps. Now, for developing these dashboards, most organizations rely on the KPIs (Key Performance Indicator) as they indicate the key trends which are affecting the strategic performance of the business.

Although dashboard views may sound quite appealing for many businesses, if the implementation is not done correctly then you cannot expect to get the expected results. Here are two main mistakes that must be avoided while implementing a dashboard.

 

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Defining too many KPIs

One common mistake to define a large number of KPIs since they will need both time and patience for reviewing these them before any results can be sought from them. While implementing dashboard, you may have a longer list, but it is better to start with a smaller one and then add one by one gradually.

With some KPIs, you have to extract data from many sources, and at the beginning, it may create complexities. Hence, it’s better to stick to the important KPIs.

Implementing without full testing

Another mistake is implementing your dashboards in a hurry. You must have KPIs defined and tested to see the results. Most of the times complete testing is not done, this may prove devastating in the long run. You must structure down the KPIs and then set a hierarchy for them, and while they are implemented check the metrics according to the different KPIs. It will help you create your dashboard properly.

Leaving high-risk data sources until the process ends

It is a common mistake that is followed while planning and implementation of a dashboard. It sometimes becomes difficult to understand what type data sources will be most necessary and in this, the high-risk ones are left until the end.

It is necessary that while you plan your dashboard, you must consider the high-risk data first and find out ways to tackle them. When you leave them for the end, you may miss your schedule.

 

Ruben R. Mata