Use Case Audit & Data Governance
Data governance can be challenging, especially in large organisations with many data sources and multiple interconnected systems and applications.
Imagine that each department is speaking a different language. That would be chaotic, wouldn’t it?
In fact, that’s what is going on in many organisations. Well, obviously, all departments can be speaking the same language technically. However, some important expressions have different meanings for different people, and sometimes different terms are used to represent the same concept. A particular word sometimes has dissimilar meanings in different reports (or sometimes even within the same report).
This is why many companies are undertaking data governance projects. Their main goal is to develop a semantic glossary used to ensure that everyone in the organisation is always speaking the same language.
The common approach
Data governance software is used to create semantic, technical and business dictionaries. But this software usually doesn’t provide a performant solution for the cornerstone of data governance: mapping all data, applications and systems. More than 85% of data governance projects do not succeed. The main reasons for failure are an underestimation of the workload and a lack of commitment and support from the business teams.
Most organisations rely on long-term manual audits to document data sources, systems, applications and interconnections. The outcome is a subjective description of the information system at a given point in time.
Organisations rarely end up creating a semantic glossary, as the audit project is time consuming, especially in organisations with complex and diverse data environments.
How DataSemantics accelerates and simplifies the project
DataSemantics’ intelligent and automated technology enables you to quickly perform a comprehensive mapping of data and metadata. This objective data map is kept up to date as the data evolve and provides you with an objective real-time vision.
Once the mapping process is completed, DataSemantics analyses the data and metadata to automatically retrieve the semantics and link the concepts (representing the semantics) to the metadata. Thus, the semantic dictionary is automatically created. This glossary can then be used by the data governance software of your choice. In addition, DataSemantics also automatically keeps the semantic glossary up to date as your information systems evolve.
DataSemantics’ intelligent and automated technology breaks down organisational silos. This means that you’ll always have full control of all your information assets, down to the level of the actual data. Moreover, the pre-programmed analysis robots assist you in evaluating and improving the quality of your valuable data.
Liberate and master all of your data
DataSemantics supports you in taking back control of all of your data. The reverse engineering technology at the heart of the tool drastically speeds up a variety of data projects. The software liberates known and unknown data and makes them accessible to information systems. It enables organisations to fully master information assets, limit risks and make better strategic decisions.