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Future of Sustainable Data Alliance Drives Capital Markets Contribution to UN Sustainable Development Goals
Refinitiv has established the Future of Sustainable Data Alliance with the objective of accelerating the mobilisation of capital into sustainable finance. The alliance will address the question: What data do investors and governments need to meet the requirements of both regulators and customers for sustainable investments and products in pursuit of the 2030 Agenda. It…
Style Analytics Adds Sustainalytics ESG Data to Analyse Climate Related Portfolio Risk
Interest in financial stability and provision of environmental, social and governance (ESG) data continues to rise with Style Analytics, a provider of factor-based portfolio and market analytical tools for investment professionals, expanding its ESG factor analysis tool with the addition of carbon risk ratings and emissions data from Sustainalytics, a dedicated provider of ESG research,…
Are We Nearly There Yet? Gearing Up for DMS London 2020
With less than two months to go until the A-Team Group Data Management Summit 2020 in London, anticipation is mounting and preparations are finalising for what looks to be our biggest and best event yet. Join us as we take a sneak peek at the hot topics, key trends, big names and new innovations that…
FCA Renews Data Strategy
The Financial Conduct Authority (FCA) has renewed its data strategy published in 2013, taking into account the evolution of technology and aiming to transform how it works. The new strategy will be delivered over five years and is designed to make the FCA smarter in the way it uses data and advanced analytics so that…
2020 – the Year of Artificial Intelligence
The critical need to improve data quality and data management across capital markets will continue to escalate through 2020 as firms delve deeper into digital transformation, regulators demand more granular and ad hoc compliance data, and businesses look for much needed new business opportunities. These use cases of data management are high on the agenda…
Data Visualisation – the Challenges and Opportunities
Data visualisation is a highly desirable tool for many participants in capital markets. It has the potential to aid decision making and add value, signpost new products and business opportunities, and provide the insight necessary to mitigate risk. It also presents challenges, particularly around data quality and legacy technology, although developments over the past couple…
Managed Data Services Take Data Management to the Next Level
Adoption of managed data services – or data-as-a-service – is picking up pace as financial services firms face increasing business complexity and the need to be more agile, yet have frozen or reduced data management budgets. With pressure on data management teams to deliver data hungry initiatives, manage new rules and regulations, and integrate innovative…
SteelEye Extends Reach with Office in Paris
SteelEye, a compliance technology and data analytics firm, has taken the next step in its international expansion with the opening of an office in Paris. The office supports SteelEye’s rapid growth and positions the company closer to regulated financial markets in France, as well as the Benelux region, Switzerland and many of its existing clients….
Broadridge Details Mutualisation Strategy and A,B,C,D Solutions Building Blocks
Broadridge Financial Solutions is addressing the complexity of financial markets and burden of regulation with a mutualisation strategy that builds products once for many clients and includes core A,B,C,D building blocks – artificial intelligence (AI), blockchain, cloud and digitalisation. To find out more about the company’s approach, we talked to Samir Pandiri, president of Broadridge…
How Machine Learning is Changing Data Management and Investment Processes for Active Managers
By Martijn Groot, Vice President of Marketing and Strategy, Asset Control. Artificial Intelligence (AI) and machine learning techniques are finding their way into financial services. Ranging from operational efficiencies to more effective detection of fraud and money laundering, firms are embracing techniques that find patterns, learn from them, and can subsequently act on signals coming…