Data Lineage: Planning, Documenting, Applying

Our Data Lineage course offers an in-depth exploration of planning, documenting, and applying data lineage. It is designed to help you navigate the complexities of data lineage, right from the identification of a data lineage initiative to its successful implementation. The course covers essential topics such as the concept of data lineage, stakeholder analysis, scoping a data lineage initiative, implementation methods, evaluation of data lineage solutions, and much more. You’ll learn to design a data lineage metamodel that fits your organisation’s needs, assess readiness for a data lineage initiative, and analyse various methods of data lineage documentation.

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Who is this Course for?

This course is designed for data management and business professionals seeking a deeper understanding of data lineage and its applications. It also suits professionals with a technical background who aim to comprehend the business needs and requirements for data lineage. Project management professionals who wish to familiarize themselves with the best practices of data lineage implementation will also greatly benefit from this course.

Why take this Course?

In the world of data-driven decision making, data lineage is a crucial concept that helps maintain the integrity, reliability, and compliance of your data ecosystem. Understanding and applying data lineage can lead to improved data governance, regulatory compliance, and operational efficiency. Despite its significance, data lineage often remains a complex and abstract concept. This course offers a comprehensive understanding of data lineage, its challenges, and its implementation, enabling you to confidently navigate and utilise data lineage in your organisation.

About this Course

Our Data Lineage course offers an in-depth exploration of planning, documenting, and applying data lineage. It is designed to help you navigate the complexities of data lineage, right from the identification of a data lineage initiative to its successful implementation. The course covers essential topics such as the concept of data lineage, stakeholder analysis, scoping a data lineage initiative, implementation methods, evaluation of data lineage solutions, and much more. You'll learn to design a data lineage metamodel that fits your organisation's needs, assess readiness for a data lineage initiative, and analyse various methods of data lineage documentation.

Is there an Exam?

This course does not include an exam

Will I gain a Certification/Accreditation?

Upon successful completion of the course, attendees will receive a certificate of completion from IRM UK.

Full Course Outline

• Topic 1: Introduction to Data Lineage
• Topic 2: Planning a Data Lineage Initiative
• Topic 3: Implementing Data Lineage
• Topic 4: Exploring Data Lineage

Each topic comprehensively covers aspects ranging from understanding the concept, identifying business drivers, defining a metamodel of data lineage, assessing a company's readiness, scoping the initiative, to developing requirements, choosing documentation methods, defining roles, choosing tools, documenting data lineage, and using data lineage for various data management initiatives.

Speaker
Irina Steenbeek
Managing Director
Data Crossroads
Dr. Irina Steenbeek is a data management practitioner with over 13 years of experience. The key areas of her professional expertise are setting up data management and/or governance frameworks, establishing a business case for data lineage, and measuring maturity and performance. Through the years, she has worked for global institutions and large- and medium-sized organizations in different sectors. In 2017, she founded Data Crossroads - a training and coaching services enterprise in data management. Data Crossroads assists companies in improving their decision-making by setting up a data management framework and documenting data lineage. Irina is a celebrated international speaker and author of several books, multiple white papers, and blogs. She strongly believes that the success of data management initiatives depends on combining a pragmatic approach with a clear and transparent methodology. She has shared her experience in the following books: The "Orange" Data Management Framework, The Data Management Toolkit, The Data Management Cookbook, and Data Lineage from a Business Perspective.
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