The self-service data analytic journey often begins with data catalog. Before businesses can make the most of their corporate data their analysts need the ability to find and use trusted data, share insights about that data, crowdsource quality attributes and have recommendations presented that relate to data sources that have been discovered.
There are many things to consider when selecting a data catalog. This white paper will outline the primary challenges involved, and the top 5 things to consider when selecting a data catalog that’s right for your organization. Read this paper to learn:
- The four types of data catalogs
- Business challenges that lead to a search for data catalog
- Five evaluation criteria for selecting a data catalog
- A case study highlighting an AI-powered data catalog
Download the white paper today!