Data Management Insight Data Quality The latest content from across the platform

The Essence of Digital Transformation is Data and the Message – Don’t Give Up

Digital transformation is all the rage among financial institutions, but it comes with significant data management challenges and can hit the wall if it is not underpinned with a strong data foundation and the right skills. That said, an audience poll on the status of digital transformation projects run during an A-Team Group webinar this…

Recorded Webinar: Building the data foundations for your digital transformation journey

Digital transformation is a requirement to succeed in today’s information economy. As business leaders begin to acknowledge this necessity, they seek to navigate a successful path to digitisation, but they must start with a foundation of data understanding, maturity and trust – a crucial prerequisite for the digital transformation adventure. This webinar will consider the…

Annaly Capital Management Implements CuriumEDM to Drive Efficiency and Transparency

Annaly Capital Management, a New York based diversified capital manager, has implemented Curium Data System’s enterprise data management (EDM) solution as part of a multi-phased technology initiative designed to drive operational efficiencies and promote transparency across the company’s platform. Don Choe, chief technology officer at Annaly, says the firm evaluated numerous master data management products…

Data Science 101 – a CDO’s Viewpoint

By: Michael Conlin, Chief Data Officer at the US Department of Defense. The DoD selected me as its first Chief Data Officer to introduce new ways of doing new things. To that end, I’ve introduced new ways of thinking as well. Here is a snapshot. Ready, willing & able The number one criteria for launching…

How to Solve the Data Sourcing and Management Problems of FRTB

Fundamental Review of the Trading Book (FRTB) presents some of the toughest data sourcing and management requirements in the history of capital markets regulation since the 2008 financial crisis. It also has an implementation date of January 1, 2022, which considering the regulation’s complexity, means there is no time to delay in getting your FRTB…

Global Data Standards are Essential Yet Elusive, So How Can Our Industry Help?

Global data standards and identifiers are essential to business growth, market stability and cost reduction. They are also challenging to implement in a technology environment characterised by data silos and at a time when standards differ across multiple jurisdictions and can lack clarity and specificity. Featured Download: An update on data standards and global identifiers…

A Guide to Getting Data Management Right on the Buy-Side

Buy-side firms have developed data management capabilities exponentially over recent years, driven by regulatory requirements, but continually challenged by pressure on budgets, selecting suitable solutions, and sourcing and maintaining good quality data. Naomi Clarke, chief data officer at MSAmlin, and a speaker on a recent A-Team Group webinar sponsored by the SmartStream Reference Data Utility…

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…