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    Top 10 Checklist for Selecting the Right Data Catalog Tool

    3 Minutes Read

When data catalogs were not in the picture, most data analysts worked blindly, without accurate visibility of existing data sets or the quality and usage of the data. However, things changed, and data catalogs were introduced to manage data inventory and expose data sets to analysts so that they have better visibility of the data and can put it to use. All this while, the role of the data catalog has grown in its functionality and importance.

Today’s data catalog possesses AI-ML features that play a crucial role in data stewardship, data curation & data governance. Chief data officers (CDOs) and chief analytics officers (CAOs) have started viewing data catalog as strategic not just for data inventory, but also for managing data assets and improving analytical quality and productivity.

Choosing a catalog that meets all the needs, addresses all the interests, and fits your organizational culture is a big task. There are several data cataloging tools available on the market, and new tools keep emerging with additional functionalities, so choosing the right fit for your needs can be cumbersome. Besides the AI-ML capabilities there are few other features which should be kept in mind before selecting the right data catalog tool for your business. Here is a checklist of the features that helps to sail you through while looking for a data catalog tool:

Top 10 Checklist for Selecting the Right Data Catalog Tool

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