Jeson Clarke

The Importance of Data Modeling in Your Company

It's not enough to gather tons of data. Companies also need efficient data modeling to make sense of it. Raw data is difficult to understand, and the lack of a solid modeling system like star schema makes it impossible to stay organized and accurate.

Data modeling is about diagramming data flows. It defines data formats, structures, and handling requirements, supporting data flow in and out of a database. Eventually, the diagram model you use becomes valuable documentation that highlights why your company has the data at all and how designers create the flow into your enterprise databases.

But why is data modeling so important to your organization?

Eliminate Redundancy

One reason to have data modeling is to eliminate redundancies. Data redundancy is when you have the same piece of data held in two separate places. The copies can live on two fields of the same database or entirely different areas of the same software environment.

Whatever the case, redundancies are bad. They can cause many issues, forcing you to make modifications in multiple places. However, most companies don't realize the redundancies exist, so problems can be challenging to spot.

Data modeling reduces redundancies. It provides a framework of relationships between data elements. The process makes copies less likely to exist. If they do, you can use modeling to find the redundant data.

Create a Single Source of Truth

Another reason to have data modeling like star schema is to create a single source of truth (SSOT). SSOT is an integral part of data management. SSOT is not a system, strategy, or tool contrary to popular belief. Instead, it's a state of being!

It's when your company's data exists on a single reference point. Without SSOT, your data becomes segmented and hard to find. Not only that, but you can end up dealing with inaccuracies.

With data modeling, creating an SSOT is a breeze. It ensures that you're making decisions and managing operations through standardized data that's the same across the board. You can rest assured knowing that your data is accurate, relevant, and up to date.

Author Resource:-

Jeson Clarke writes about technologies, import/export data and customs data tools. You can find his thoughts at self-service analytics blog.