The critical importance of an Enterprise Data Model

9 March, 2021

9 March, 2021

Data as an asset

Data – probably the most contributing element of the digital age. Required by industries across the board to produce new age products and services. The driving force behind crucial decision-making activities in all businesses around the world. The value of accurate, timely data has been realised and agreed. However, an important fact that is often overlooked is the construction if information, which ultimately, either enriches or compromises the quality of the products or services being produced or offered. 

Understanding data

Attempting to understand the value of data without knowing the meaning of the data is counterintuitive. Data neither exists in isolation, nor is it produced by itself. It is always the product of a process, item, or person. On this simplistic basis, it only makes sense to model data according to its origin, with strategic business objectives in mind. Successfully achieving this becomes the foundation for unlocking the infinite powerful capabilities that can emerge from data. 

Yielding business value from data

Businesses rely on good, quality information in order to function. Value is derived from data when raw data is converted to information. If information is not correctly constructed, very little value is attained. As one of the core drivers of success for business, information needs to be constructed in a way that enables business to grow, achieve strategic goals, be profitable, and remain profitable. One of the most accurate ways of achieving this is to understand the position of the data in the organisation. Therefore, it begins with a conceptual understanding of business entities and processes that exist, and the related data entities required. This in turn enables the further expansion of data into logical models which aid in construction of information.  The enterprise data model does just this. 

But what about the databases?

While there are unlimited technologies available for data management, at times too much focus is given to the technical data architecture over the actual data architecture. Being able to stream data at lightening speeds with Kafka doesn’t help if you’re streaming poor quality, limited capability type of information. If your data architecture cannot align to business architecture, achieving strategic goals will undoubtedly be a challenge. The enterprise data model is a key artefact of data architecture that aligns data to business need, allows for the creation of new information to grow business, and accurately defines physical data schemas to reduce redundancy, duplication, and improves accuracy and consistency.

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