IDC PeerScape: Data Intelligence Practices for Implementing Data Catalogs

IDC PeerScape: Data Intelligence Practices for Implementing Data Catalogs

This IDC PeerScape provides insight into the best practices related to the implementation and use of data catalog software within the context of data enablement in an organization. Users of data catalogs are a part of how IDC defines data-native workers, who exist in IT and throughout all levels of the business, working with data daily to perform business operations, make decisions, and inform strategies. This diverse set of users is one of the biggest challenges to adoption and a common thread through the peer insights provided."A new generation of data catalogs have emerged in the market that can gather multiple types and new types of metadata across the enterprise, not constrained to one data management technology or analytics solution, and leverage automation to keep intelligence about data fresh and up to date," says Stewart Bond, director, Data Integration and Intelligence Software research, IDC. "The diverse nature of data-native workers who will benefit from the intelligence provided by data catalogs and the vast amount of data in the modern enterprise make it difficult to know where to focus implementation efforts, how to gain buy-in, and how to measure success."

Please Note: Extended description available upon request.


IDC PeerScape Figure
Executive Summary
Peer Insights
Practice 1: Start Small But Be Relevant
Challenge
Examples
Guidance
Practice 2: Gain Organizational Buy-In
Challenge
Examples
Guidance
Practice 3: Include Data-Related Assets
Challenge
Examples
Guidance
Practice 4: Set Technology Aside, Focus on the Data
Challenge
Examples
Guidance
Practice 5: Set KPIs and Measure and Monitor
Challenge
Examples
Guidance

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