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10 steps to building a data catalog

Building a data catalog is an important initiative for many IT and data management teams, often done in conjunction with data governance and metadata management programs. But organizations shouldn't undertake a data catalog project without getting input from business users and planning a series of other steps that should be part of the process. In this e-guide, read about the key features that define a data catalog, why they’ve become a core component of the modern data management environment, and the essential steps to build a data catalog. 

These are also closely related to: "6 information governance best practices"

  • Data governance 101: Creating a framework

    In order to become more data-driven, businesses need to think more strategically about governing the data they’re looking to be driven by.

    As a result, implementing an effective data governance plan comes down to not only picking the right tools but coordinating multiple business units, getting them involved, and possibly rethinking your operating model.

    In this expert e-guide, we explore how to create an enterprise data governance framework. Uncover some strategic best practices for big data governance so that you can boost data quality and prevent critical inconsistencies. 

  • How Alation data governance results in 364% ROI, according to one report

    It can be tough to implement effective data governance frameworks and solutions because of the difficulty you might face garnering employee buy-in or dealing with disparate data sets, changing workflows, and challenging compliance requirements.

    Alation’s next generation data governance takes a people-centric approach and uses automated technology to foster a collaborative, effective governance environment.

    The results?

    Up to 364% ROI and deployment within 6-12 weeks, according to one Forrester report.

    Access this white paper to learn more.

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