Key Business Benefits of Dashboard Software Systems

By: Lana Bawaneh & Omar Abdulhafiz

In the past, business people could spend a lot of effort collecting, monitoring, and analyzing data from different data sources in order to generate reports that help them in making decisions. This process requires a lot of time that could otherwise be better utilized in managing business and making business improvements.

The past is behind us now, however, or so it should be. Today, there’s a need for a digitalized tool that can get this job done automatically with minimal time and effort. In fact, businesses nowadays need more than a tool that processes and aggregates large sums of data quickly and efficiently. What they need, in addition to that, is a tool that produces elaborate visual representations of data related to business operations, performance, and other sophisticated industry-specific metrics.

But there’s no need to worry, as this has become possible now with the invention of the advanced business dashboard system!

The evolution of data analytics

By: Omar Abdulhafiz

Throughout the past several years, the world was inundated with different interrelated terms such as “data”, “data analysis”, “data analytics”, “business intelligence”, “predictive analytics, and many more. This has caused a lot of confusion over what each of them means and what it is for. This confusion is problematic among many professionals including HR staff, which often leads to misleading job positions.

In this article, we will try to tackle this dilemma by briefly tracing the history of data science and how it came to be the way we know it today. As we go, we will clarify the most critical terms the contributed to this mix-up. This shall enable you to differentiate between these terms more easily.

 

So, let us begin.