The implementation of data lineage is complex but necessary, driven by regulation such as BCBS 239 and internal needs to gain a better understanding of risk, reduce systems complexity and eliminate duplicate data and processes. The webinar will discuss the essential elements of data lineage, how they can be implemented, and the beneficial outcomes of a successful and sustainable data lineage programme.
Join the webinar to find out about:
Requirements for data lineage
Data and management issues
Metadata in data lineage
Supporting technology
Business benefits
3. FROM
DataManagementReview.comDecember 1, 2016
Panel Member: Johann van Biljon, Data Governance
Specialist, Rabobank
Areas of Expertise:
• Highly experienced in semantic modelling
• BCBS 239: implementing IT solutions to achieve
compliance
• Business versus technical lineage
• What does BCBS 239 really say about lineage
* Any comments made by Johan van Biljon on the webinar are personal
observations and are not necessarily aligned with those of Rabobank
4. FROM
DataManagementReview.comDecember 1, 2016
Panel Member: James Longstaff, Vice President,
Deutsche Bank
Areas of Expertise:
• Experience of the data landscape from front to back
office in multiple complex organisations
• Developed and implemented working technologies to
display and explore data lineage
• Experience of developing business cases, using multiple
technologies, and practical issues around capturing and
presenting data lineage
* Any comments made by James Longstaff on the webinar are personal
observations and are not necessarily aligned with those of Deutsche Bank
5. FROM
DataManagementReview.comDecember 1, 2016
Panel Member: Olivier Kenji Mathurin, Head of Strategic
Research, AIM Software
Areas of Expertise:
• Leads Research & Innovation Lab at AIM Software
• Over 10 years’ experience as a consultant and project
manager in enterprise data, master data management
and data
• Works with the AIM user community to investigate
industry challenges and develop new products to solve
them
6. FROM
DataManagementReview.comDecember 1, 2016
Drivers behind the requirement to implement data lineage
Progress made by firms and outstanding issues holding up projects
Data management challenges and the role of meta data
Maintaining lineage as systems and applications change
Technologies to support data lineage implementation
Step-by-step processes to achieve and sustain data lineage
Ongoing opportunities of a successful implementation
Key advice for practitioners working on data lineage
Talking Points
22. FROM
DataManagementReview.comDecember 1, 2016
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January 24th
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Visit webinars section of DataManagementReview.com