The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

Legal and General Investment Management Picks Sun Street’s Curium for Data Quality Management

Legal and General Investment Management (LGIM) has completed its initial implementation of Curium DQM across its data management and investment operations teams in London and Chicago as part of its drive to meet key data governance objectives and visibility of data across the enterprise.

At LGIM the first phase of Curium DQM adoption provides a process control platform to manage data quality over operational data sets including reference and market data. The data management team is making use of Curium DQM’s business process management tooling around data management, specifically exception and ticket management, complementing its existing capabilities.

The Curium DQM product is aimed at ‘bringing a new approach’ to the data management challenge to enable buy side and sell side firms to quickly get a handle on their data quality with exceptions management workflow for business users, as well as data visualisation and comprehensive management information and reporting capabilities.

Andrew Sexton, sales and marketing director at Sun Street says, “Recent surveys have highlighted the pressing need for firms to invest in data governance and within that, data quality is often the most cited factor of concern. If firms can quickly improve their oversight of data, both in terms of mastering data and how it is consumed across the architecture, then a whole range of regulatory pressures and business risks can be minimised.”

Indeed, at our own Data Management Summit in New York last November, the Data Governance panel discussed the need for ‘operationalisation’ of data quality – and importantly, accountability of data quality – in order to improve quality and meet the various regulatory requirements.

Curium from Sun Street is an up and coming data management product with two core modules: as well as DQM (Data Quality Management) which provides a data quality layer on top of any data management platform, it now offers MDM which delivers master data management including the ability to run sophisticated ‘what-if’ data construction scenarios and data provenance analysis.

Related content

WEBINAR

Upcoming Webinar: Meeting the requirements of the EU’s ESG Disclosure Regulation

Date: 14 October 2021 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The EU Sustainable Finance Disclosure Regulation (SFDR) is central to the European drive towards a sustainable financial market. As such, it is complicated and multi-faceted, and makes rigorous demands on financial firms to source large volumes of ESG data...

BLOG

Quantexa Addresses AML with Contextual Decision Intelligence

London-based data and analytics company Quantexa is addressing the challenge of Anti-Money Laundering (AML) monitoring and investigation with the use of contextual decision intelligence (CDI), a means of enriching internal data with external data and building networks of relationships to create a contextual view of a customer. This approach is aimed at generating meaningful alerts...

EVENT

RegTech Summit Virtual

The RegTech Summit Virtual is a global online event that brings together an exceptional guest speaker line up of RegTech practitioners, regulators, start-ups and solution providers to collaborate and discuss innovative and effective approaches for building a better regulatory environment.

GUIDE

ESG Handbook 2021

A-Team Group’s ESG Handbook 2021 is a ‘must read’ for all capital markets participants, data vendors and solutions providers involved in Environmental, Social and Governance (ESG) investing and product development. It includes extensive coverage of all elements of ESG, from an initial definition and why ESG is important, to existing and emerging regulations, data challenges...