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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. 

  • Microsoft Teams best practice guide: eComms Compliance

    As Microsoft Teams becomes central, organizations must manage compliance for electronic communications (eComms). This white paper outlines five best practices:

    • Capture and archive all eComms, including chats, files, meetings, and app integrations
    • Archive eComms in original format to preserve context
    • Implement unified search for streamlined eDiscovery
    • Use compliance monitoring with AI to detect violations in real-time
    • Utilize Microsoft Purview for data classification and security

    By following these practices, organizations can maximize Teams while maintaining compliance with regulations such as SEC Rule 17a-4, MiFID II, and HIPAA. Read the full white paper to learn more.

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  • Open-source security: Practical tips and best practices

    Open-source software offers many benefits, but also introduces new security risks. This guide covers best practices for managing open-source packages, dependencies, and vulnerabilities to secure your Python and R software supply chain. Access the e-book now to learn more.

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