Data Management Insight Data Governance & Standards The latest content from across the platform
Data Lineage and Traceability: Using Data to Improve your Data
By Brian Sentance, CEO of Xenomorph Enterprise Data Management (EDM) is, to state the obvious, a data-centric process (the clue is in the name!). But while financial institutions have placed evermore emphasis on ensuring the accuracy of their reference and market data, the need to maintain clearer insights into EDM systems and processes has also…
Recorded Webinar: GDPR: How to build a data protection framework
Are you ready for the General Data Protection Regulation (GDPR)? With the GDPR deadline less than two years away, the pressure is on for organizations to understand how they will comply. Proper data management is part of the answer, but tying these efforts into a data governance framework to manage data protection is key to…
Recorded Webinar: Solving the problem of integrating beneficial ownership data with client onboarding and KYC systems
Client onboarding and Know Your Customer (KYC) processes are becoming more complex as regulation drives towards the inclusion of beneficial ownership data and requires financial institutions to improve customer due diligence still further. The webinar will discuss the need for beneficial ownership data, how it can be sourced and how it can be efficiently and…
Regulatory Data Handbook – Fourth Edition
Need to know all the essentials about the regulations impacting data management? Welcome to the Fourth edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today A…
Data Management Summit London – Keynotes, Presentations, Panel Sessions, Round Tables and Champagne
Regulation topped the agenda at last week’s A-Team Group Data Management Summit, although it was followed closely by issues including the transformation of data to information, data lineage, utilities, Know Your Customer ( KYC) and client onboarding, data quality, operations models, data stewardship and more! Keynotes and Presentations Introduced by Andrew Delaney, chief content officer…
Recorded Webinar: Four categories of entity data quality management
We all know entity data is difficult. But there are four key categories of data quality management that you can apply to make measurable improvements to your entity data. Traditional methods no longer work. You need methods to accurately measure the quality of your data and give you the ability to take meaningful action. In…
Building the Business Case for Joining the Reference Data Utility
The benefits of joining a reference data management utility include the ability to improve data quality, simplify complex data management infrastructures, meet constantly expanding and changing regulatory requirements, and realise significant reductions in operating costs. This White Paper, sponsored by SmartStream, describes four business cases that can be addressed by adopting a utility-based approach to…
The Art of Data Lineage
Implementing data lineage is a complex task including challenges such as managing multiple legacy systems, understanding data flows, responding to ongoing regulatory change, winning management buy-in and securing dedicated budget. Done well, however, it can provide significant benefits. The challenges and opportunities of data lineage were discussed during a recent A-Team Group webinar sponsored by…
Recorded Webinar: The art of implementing data lineage
Data lineage is a regulatory and internal requirement with potential to deliver significant operational and business benefits, but financial institutions can find it difficult to implement and complex to maintain as systems and regulatory requirements themselves, change quickly. The importance of understanding where the true source of the data is coming from, where the data…
Entity Data Quality: New Approaches and the Four Categories of Data Quality Management
Legal entity data is critical to data strategy, business decisions and regulatory compliance, but it can be a challenge to ensure the data is accurate and reliable as the entity universe is large, millions of attributes change every year and inconsistent codes and symbologies identifying entities, corporate hierarchies and ultimate beneficial owners must be managed….