By merging data management and analyses, added value from the data and thus decisions can be made better and faster.
The data catalogue enables analysts to quickly discover and understand important data and patterns. You will learn where all your data is located and how it is used.
This will allow you to make a better assessment as to where it is worth investing more in optimisation and how a company-wide deployment can best be organised.
A data catalogue is essential for the future, as more and more data sources are created in the company itself and these must be used both in existing analyses, but also for predictive or machine learning purposes. Many companies use hybrid cloud structures in order to store their ever-increasing amount of data in an optimal and high-performance manner. These structures are registered in a data catalogue and can be found very quickly and effectively evaluated by analysts and data scientists.
As a user, you want to create analyses using the self-service approach and often do not know exactly where the required data is stored and at what status it was loaded. You know that you have this valuable data in your company, but identifying it and filtering it out from the multitude of different sources, such as cloud structures and various company databases, is a major challenge for you.
This is where the data catalogue comes in. The data catalogue keeps an inventory of the data by identifying, describing and organising data records. Not only does this help you to find the data set you want, but it also helps you understand it and gain meaningful insights that will increase the value of your business.