What Is an Enterprise Data Model? [+ Examples]
Enterprise data modeling is nothing new. This tactic has been around for years, but it is still relevant to modern businesses today.
It can feel like an abstract, complex concept at times, but it is an important part of data governance, which helps manage and secure a company’s data assets.
In today’s world, data security is important, as is boosting productivity and efficiency with up-to-date applications and digital processes.
Enterprise data modeling can help ensure company apps and data are standardized, secure and in-line with the business mission.
What is an Enterprise Data Model?
Simply put, an enterprise data model is a visual representation, or graph, of an enterprise business’ data. It focuses on high-level, more abstract components as it tries to define and standardize an entire enterprise business’ data.
That means enterprise data modeling can be a massive task, but it will be important to help reduce duplicates, inaccuracies, and errors in a business’ data.
Why Do You Need an Enterprise Data Model?
There are numerous reasons why you might need an enterprise data model. Let’s dive into four, now.
1. Improve Data Quality
Even small companies handle a lot of data on a daily basis. Over time, this data can quickly become irrelevant. Errors can slip in unnoticed, as can redundancies. The more issues in the data, the less accurate it becomes. When companies revisit data to inform decisions, data riddled with errors and redundancies can impact company sales and growth. By taking an overarching, comprehensive look at the data and defining it via enterprise data modeling, these issues can be addressed appropriately.
2. Defining All Data
Enterprise data modeling is a massive task, but that’s because it addresses all of an enterprise business’ data. A company can clean up data and align applications, so everything is cohesive and running smoothly, with an enterprise data model.
3. Managing Data
Similarly, managing data is easier when it is all addressed and defined in one graph. The enterprise data model will be more high-level, so deeper dives and more intensive data modeling will be needed to define the specifics. But overall, a company can better manage all the data assets it has when they are all placed in one data model.
4. Data Governance
Businesses rely heavily on technology, as do consumers. The more we move online, the more regulations that need to be in place to maintain privacy and security. Businesses that do not protect consumer data will find themselves in hot water. An enterprise data model can help identify a business’ data, better manage it, and ensure the business is complying with data and privacy laws.
Benefits of an Enterprise Data Model
The benefits of an enterprise data model are similar to the reasons a business needs it.
First, if a company wants to ensure high-quality data, it must remove redundancies and errors, and also apply any business-specific rules regarding the data. This can all be done through the extensive …read more
Source:: HubSpot Blog
