Data Management Insight Data Quality The latest content from across the platform
Refinitiv Reviews Potential of Machine Learning and Problems of Data Quality
Machine learning and artificial intelligence (AI) have moved beyond the experimental stage to become core components of business strategy and investment. Key use cases include risk management, performance analysis and trading idea generation, ahead of automation and cutting costs. The whole is driven by growing numbers of data scientists employed by financial organisations. The barriers…
Data Management Innovation Delivers Significant Benefits, But it’s Not Easy
Innovation in data management can improve analytics, generate revenue potential, reduce costs, help companies monetise data and support digital transformation – but there are caveats, including the challenges of legacy systems, lack of budget and skilled resources, and cultural resistance. A recent A-Team Group webinar discussing how to leverage innovation in data management covered these…
Managing Data to Deliver Quality, Meaningful Analytics and Business Benefits
Data quality is critical to meaningful data analytics, and data analytics are key to business strategy – but with increased volumes and complexity of data coming into organisations, how can they ensure data is of the required quality and analytics are adding value to the business? A panel at A-Team Group’s recent Data Management Summit…
How to Get Data Lineage Right – Key Challenges
Rolling out data lineage remains a challenge for financial institutions. How should data management teams approach lineage and put a framework in place to ensure it is complete and crosses business lines to meet the goals of data value? A panel discussion during A-Team Group’s recent Data Management Summit held in the City of London…
Mizuho International Implements Asset Control’s AC Plus for IPV and Broader Data Management
Mizuho International, the London-based securities and investment banking arm of Mizuho Financial Group, has implemented Asset Control’s AC Plus data management platform to meet its needs for independent price verification (IPV) and broader data management. The Asset Control platform was selected following a rigorous selection process and replaces another third-party solution. Mark Gardner, head of…
Shape Releases AI-based Data Monitoring Solution for Data Management and Data Science
Shape, a Brussels-based start-up, has released a data monitoring solution for data management and data science that is built on machine learning and artificial intelligence (AI) technologies and designed to ensure data is trusted and fit for purpose. When used as a data management tool, Shape.AI allows data science and analytics teams to define their…
IHS Markit Dedicates 2019 to Customer Experience, Data Science and Technology Development
IHS Markit is playing into the need for change in data management with a focus on customer experience, strength in data science, cloud hosted services, alternative data and a three-year roadmap that will enhance the technology underpinning its enterprise data management solution, IHS Markit EDM. It is also taking advantage of opportunities in the buy-side,…
Data Lineage is One of the Most Opportunistic Solutions for Financial Firms
Data lineage is a hot topic, but just how hot and what should you be doing to ensure you get it right at your organisation? How can you ensure it delivers return on investment and is, indeed, an opportunistic solution? A recent A-Team Group webinar answered these questions and more, underlining the importance of data…
Derivatives Service Bureau Details Brexit Plans and Next Phase Developments
The Derivatives Service Bureau (DSB), initially set up as a subsidiary of the Association of National Numbering Agencies (ANNA) to allocate ISINs for OTC derivatives under MiFID II, is moving on to ensure the development of its services are in line with user requirements and regulations. It is also keeping a close watch on Brexit….
A-Team Group Data Management Summit Takes Industry by Storm
This year’s London Data Management Summit was a resounding success, answering the questions of hundreds of market participants working to transform, digitalise and innovate their approach to data management and drive value out of data. It touched on technologies from knowledge graphs to data standards that can help users achieve these goals, and provided actionable…