About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

How to Get Data Lineage Right for Regulatory Compliance and Business Value

Subscribe to our newsletter

Data lineage is critical to getting regulatory compliance right and key to data transparency and ownership for the business. It is also a game changer when it comes to data quality. But how can you implement a successful data lineage programme that will deliver these rewards on an ongoing and cost-effective basis?

This question and more about regulatory and business drivers, approaches to data lineage, data management challenges and technology solutions were answered during an expert panel session at last week’s A-Team Group Data Management Summit in New York City.

The panel was moderated by A-Team Group editor Sarah Underwood, and joined by Shailesh Mathankar, director, data management at AIG; Ellen Gentile, vice president and data quality manager at Sumitomo Mitsui Banking Corporation; Sue Habas, vice president, strategic technologies – data intelligence at ASG Technologies; Yann Bloch, vice president, product management at NeoXam Americas; and Erwin Dral, product manager at Collibra.

The panel noted industry progress on data lineage, although a lot of firms still rely on Excel spreadsheets, and the need to address lineage holistically if it is to fulfil regulatory and business needs. The data management challenges identified by the panel included matching data to the business model, managing data from many sources, making effective impact assessments when changes to data or systems are planned, and driving value out of lineage.

If those are some of the challenges of data lineage, they are outweighed by the benefits of a successful implementation, which panel members noted as improved business understanding and ownership of data, better data quality, getting the financial results used in regulatory reports right, opportunities to optimise systems and processes and cut the cost of any unused systems and data, and last but certainly not least, the ability to drive value out of data.

Listen to the data lineage podcast from the New York Data Management Summit to find out more – and don’t miss next week’s publication of A-Team Group’s Data Lineage Handbook, which you will be able to download from www.datamanagementreview.com.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Archive360 Girds Clients for Demise of the Single-Provider Data Pipeline

The future is fragmented. So says George Tziahanas, associated general counsel and vice president of compliance at data governance platform provider Archive360, who argues that the days of monolithic, front-to-back, one-size-fits-all data services providers may be numbered. Artificial intelligence has become both the hammer to break up single-provider data pipeline technology and the glue to...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...