How to Build a Data Catalog: Key Steps and Challenges?
  • CODE : ANNM-0002
  • Duration : 60 Minutes
  • Level : Intermediate
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Anne Marie Smith, Ph.D. is an Information Management professional and consultant with broad experience across industries. She is a certified data management professional (CDMP) and is a frequent speaker and an author on data management topics. Anne Marie is a primary author of several sections of the DAMA-Data Management Body of Knowledge (DAMA-DMBOK) and has been published in several professional journals. Anne Marie received the DAMA International Professional Achievement Award in 2015 and was awarded the designation of Fellow of Insurance Data Management (FIDM) and Fellow of Information Management (FIIM). She holds several industry certifications.



In a data-driven landscape, organizations face the challenge of managing vast amounts of data from various sources efficiently. A data catalog serves as a critical tool in this endeavor, providing a centralized inventory of an organization's data assets, their metadata, and their relationships. Building a data catalog involves a systematic approach that encompasses data discovery, profiling, classification, and documentation. This presentation aims to provide a foundational guide on the value of a data catalog, offering insights into the key components, best practices, and challenges associated with the process. By understanding the fundamental principles and strategies outlined in this presentation, organizations can effectively harness the power of their data assets to drive informed decision-making and achieve their business objectives.

Areas Covered

  • Introduction A. Definition and importance of a data catalog B. Overview of the benefits of building a data catalog C. Introduction to the key components of a data catalog.
  • Metadata Management A. Importance of metadata in data cataloging B. Types of metadata (technical, business, operational) C. Strategies for capturing and maintaining metadata D. Identifying data sources and formats.
  • Data Documentation A. Documenting data lineage and data asset descriptions B. Data profiling and data quality management.
  • Data Catalog Implementation A. Choosing the right tools and technologies B. Integration with existing data management systems C. Scalability and extensibility of the data catalog solution.
  • Data Governance and Data Stewardship with a Data Catalog A. Importance of Data Governance in an organization to support metadata management B. Data Stewards’ role in managing content in a data catalog.
  • Challenges and Mitigation Strategies A. Overcoming data silos and fragmentation B. Monitoring and maintenance of the data catalog C. Ensuring data privacy and security.
  • Conclusion A. Recap of key points B. Final thoughts on the importance of data cataloging.

Who Should Attend

Data administrators, CDOs, CIOs, directors of data management, database management leaders, and data quality leaders.

Why Should You Attend

Attending a presentation about building and using a data catalog offers numerous benefits and valuable insights for individuals and organizations alike.
Gain a deeper understanding of the critical role that data catalogs play in modern data management practices. Learn how a well-structured data catalog can enhance data governance, improve decision-making processes, and drive organizational success.

Discover how a comprehensive data catalog can unlock the full potential of your organization's data assets.

Learn how a centralized data catalog fosters collaboration and knowledge sharing among data stakeholders within your organization.

Stay informed about emerging trends, innovations, and best practices in the field of data management and analytics.

Topic Background

Organizations struggle with managing their data assets since the context of the data (metadata) is stored in many different systems. This makes clear understanding of the data difficult to achieve and makes using the data effectively a difficult task. The value of data to an organization lies in the ability to understand the data, its quality, its lineage, and usage. An enterprise data catalog can provide this capability.



  • $160.00



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