Use Case Merger & Acquisition

The challenge

A merger or acquisition has huge implications for the people in charge of information systems. In order to successfully achieve a consolidation, many questions need to be answered correctly beforehand. A global and objective view on the processes is essential to properly assess the potential impacts of the choices that will be made.

The common approach

The documentation of the different systems, the identification of each process, the understanding of the logic of the applications and the assessment of the impacts of the integration require months of manual work and are regularly prone to errors.

How DataSemantics accelerates and simplifies the project

DataSemantics drastically shortens the runtime of your consolidation project by offering you an integral view of your information assets.

The software automatically creates an objective documentation of your systems and an exhaustive mapping of your data and metadata. Automated and intelligent semantic analysers show you where certain types of data are located and how they are defined. These concepts allow you to identify and consolidate equivalent data regardless of their source.

Moreover, DataSemantics separates data from systems and creates a “native” database that can be addressed by all applications. By connecting programs to the new database, the risks associated with migrating from one application to the other are mitigated since both applications will continue to operate at the same time.


Following several acquisitions in recent years, an industrial company decided to consolidate its IT systems. This B2B company employs 80,000 people and operates across 32 countries with 243 branches. The company compared the two methods before entrusting us with the project. This decision has been made on the basis of the following analysis:

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.