Tracking data lineage for Enterprise Data Management

May 10th, 2016

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For a number of years, both decision makers and regulators have been pushing for greater transparency with regard to the source and life cycle of the information referenced in critical reports.

Data lineage, the ability to understand where data comes from and how it may change as it flows through the reporting aggregation processes, is critical to establishing trusted reports, that can in turn be used to accurately assess risk, or predict future performance.

Modern risk managers must aggregate substantial and complex data sets from a vast array of data sources. Adding to this complexity is the reality that many reports must be generated on an ad hoc basis, for example when stress testing against a new scenario.

“Risk management professionals and the regulatory bodies require a level of confidence that the entire data landscape is clearly understood, defined and tracked. Data lineage is shifting from an esoteric, technical capability to becoming an essential for the modern manager,” says Gary Allemann, MD at Master Data Management.

Data lineage for risk management is the focus in this month’s data governance webinar, on May 12th.

The Data Management Review webinar will feature speakers from Thompson Reuters, Bloomberg, HSBC and Master Data Management partner, Collibra, and will examine what regulations are driving the need for data lineage, what you need to be able to demonstrate in order to satisfy the regulators, and what tactics and strategies you can put in place in order to ensure that you are effectively tracking your data lifecycle.

You will earn more about:

  • Regulatory requirements around data lineage
  • Challenges of multiple systems and apps
  • Strategies for successful solutions
  • The role of data governance
  • Business benefits of data lineage

The webinar will take place at 4pm on 12 May 2016.

Visit to register