Don’t waste any more time searching, concentrate on the essential, the valorisation of your data.
Whether for business intelligence, data visualization or data science, mastering data knowledge is essential to serve new uses and growing needs in terms of data enhancement.
All the players in the data value chain must access and explore the company’s data sources and collaborate under the same processing conditions. All in real time.
Explore company data sources
Most data teams spend more than 50% of their time searching and qualifying corporate data sources. Between different systems, technologies and formats, finding the right data is an obstacle course.
With DataGalaxy, all your data sources are inventoried and indexed in a true shared catalog. Finding and exploring a data source will never again exceed the time of a simple search.
Simplify the sharing of knowledge about your treatments
You manage a considerable amount of processing and produce new data mapping every day.
But it’s always the same anxiety when specifying or browsing through the documentation of these processes. DataGalaxy allows you to centralize and publish a catalog of your treatments and their data mapping.
Reliable communication and trust in your data assets
No more endless chains of e-mails and waiting for a knowledgeable person to return to understand or validate the definition of an indicator or data.
With DataGalaxy your team collaborates around a real contextualized knowledge base of your data. No more doubts and blockages, the knowledge of your data is self-service.
Discover the DataCatalogue 360° modules
Inventory your data sources, SQL or NoSQL and easily display your new data models
Map your data processing and never loose control on how your data assets are transformed
Give sense to your data to increase and value your business landscape knowledge
Catalogue your data usage to increase business and technical data consumption awareness
Connect DataGalaxy to any DataManagement tool and retrieve within few clicks a dynamic mapping of your technical metadata, Data processing and usages.