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From Wall Street to the Fashion District: Applying Big Data Principles to the Fashion Industry

By Ken Price, Founding Partner, Blake Mill. Having worked within financial technology, risk and data management for the majority of my career, I have found the transition from this sector to fashion ecommerce both fascinating and challenging. Most surprising to me was the applicability of the data quality and analysis disciplines I used in the…

MEET THE MAKER … Seth Brotman, CEO of Canoe Intelligence

Welcome to our newest interview series introducing the most innovative entrepreneurs and start-ups breaking the mold within the Data Management space. Have you heard of Canoe Intelligence yet? First launched in 2018, this adventurous enterprise applies sophisticated machine-learning and artificial intelligence techniques to reduce the burden of manual investment data management by transforming unstructured reporting…

Decision-Making, Not Compliance, Drives Data Governance Programs

Data governance drivers have shifted, with better decision-making now a priority when it comes to data governance decisions – but organizations are still grappling with data governance challenges and still depend largely on manual approaches for data lineage, data cataloguing and data mapping. So finds data modelling specialist erwin in its latest report on the…

A Holistic View of Risk Across the Enterprise: How Data Linkages Help

Gaining a comprehensive view of their risk exposures has long been a challenge for financial institutions. Standard measures have been embraced to measure and manage market risk, and the emergence of a standard legal entity identifier in the form of the LEI has gone some way toward addressing the issues of counterparty and credit risk…

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…

Last Call for SFTR Phase 1: Have You Got Your Reference Data House in Order?

At first glance, the EU’s SFTR regulation clearly focuses on the securities lending space. But a further look reveals that the regulation – like other data-heavy regulations with a major reporting element – has a significant reference data and data management requirement. With the April 14 implementation date for the first phase in sight, those…

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…

FactSet Adds Proprietary Data to Snowflake Cloud Built SQL Data Warehouse

FactSet’s deployment of its proprietary datasets on the Snowflake cloud data platform is designed to provide investment professionals with immediate and scalable access to content in a cloud-built SQL data warehouse. By offering its data through Snowflake, FactSet expects to reduce the time and effort it takes for clients to integrate and use new datasets….

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…