A representative data catalog journey
It’s a fact that data catalogs are an essential brick in any organization’s data strategy, and this for a reason. A data catalog becomes extremely handy in the different phases of your projects:
A data catalog in the deployment phase
Connect to your data sources
A data catalog plugs to all your data sources. Connect your data integration, data preparation, data visualization, CRM solutions, etc in order to fully integrate all your technologies into a single source of truth.
A data catalog in the documentation phase
Create a metamodel
A data catalog captures and updates technical and operation metadata from an enterprise’s data sources. It allows you to add and configure – at the hand of the data catalog’s administrator – or overlay information (information that can be mandatory or not) on its cataloged datasets. This additional information is called properties! This contextual information is mainly referred to business and operational documentation.
A data catalog in the discovery phase
Understand your data
With a data catalog, your data citizens – with technical capabilities or not – are able to fully understand their enterprise data. A data catalog allows users to have access to and easily search for any information within the catalog.
Define your data
A data catalog allows data leaders, such as data stewards or chief data officers, to correctly define the pertinent data to be used. Through metadata, data managers can easily document their datasets, allowing their data teams to access contextualized data.
Explore your data
Discover and collect available data in a data catalog. By cataloguing all enterprise data in a central repository, data citizens are able to ensure that their data is reliable and usable.
A data catalog in the collaboration phase
Communicate with data
A data catalog allows users to become data fluent. Both the IT & business departments are able to understand and communicate around different data projects. Through collaborative features such as discussions, data becomes a topic for all to share across the enterprise.
The key takeaways of a data catalog
Now that we know everything about data catalogs, there are three main takeaways to keep in mind that data catalogs do to for your enterprise:
Maximize the value of data
By collecting all the data of an enterprise on a reference data tool, it becomes possible to cross-reference these assets and get value from them more easily. The collaboration of technical and professional teams within the data catalog enables innovations that meet proven market needs.
Produce better and faster
Your teams have confirmed it: more than 70% of the dedicated time to data analysis is invested in “data quarrels” activities. Cataloging simplifies data retrieval, the identification of knowers, and therefore, intelligent decision-making.
Ensure good control over data
Misinterpreted or erroneous, enterprises expose themselves to the risk of basing their decision on incorrect information. Connected data catalogs permit access to always up-to-date data. Data users can ensure that data and their information are correct and usable.