Data Management Insight Data Governance & Standards The latest content from across the platform
Danske Capital Implements AIM Software’s GAIN Applications
Danske Capital, the asset and fund management business of Danske Bank Group, is planning to implement AIM Software’s Gain enterprise data management applications to improve data quality in support of its ‘fit for purpose’ strategy. The company was looking for a solution that would discover and resolve data issues resulting from fragmented and incomplete data…
Bloomberg Hires Richard Robinson to Promote the FIGI
Bloomberg has added former Wipro Technologies executive Richard Robinson to its open symbology team. Robinson was hired this month and will work alongside Chris Pickles to raise awareness of the Financial Instrument Global Identifier (FIGI), formerly the Bloomberg Global Identifier, that Bloomberg is promoting as a global standard for securities identification. Robinson has stepped into…
Data Management Summit: The Challenges and Opportunities of Managed Services and Shared Utilities
Managed services and shared utilities designed for data management have the potential to cut banks’ costs, improve time to market and ease the burden of regulatory compliance, yet despite increasing maturity, these types of solutions face barriers to adoption including banks’ reluctance to change, concerns about relationships with data vendors and a lack of trust…
Data Management Summit Workshop: EDMworks Maps a Route to Successful Data Governance
Data governance is essential to managing not only regulatory requirements, but also client lifecycles, product innovation and cost and risk reduction programmes. While this is increasingly the case, developing data governance policies and processes that deliver tangible outcomes can be difficult. Dennis Slattery, CEO of EDMworks, set out the requirements for successful data governance –…
Practical Considerations for Shifting to a Shared-Services Model for Reference Data Management
After years of discussion and little action, are we now seeing a shift in attitudes and a gain in traction for the idea of a shared services model for reference data management? A-Team Group surveyed a dozen market practitioners at financial institutions to understand the benefits and concerns and realities of shared services for data…
Data Management Summit: Guidelines for Effective Data Governance
Data governance is increasingly important in a data management environment driven by regulatory requirements and cost constraints, but to be effective it needs to be underpinned by cultural change across an organisation, supported by active data governance committees and able to ensure ongoing ownership of core datasets. The need for effective data governance to address…
Entity Data Management Handbook
Following on from the success of our Regulatory Data Handbook, A-Team Group is pleased to introduce its new Entity Data Management Handbook which is available for free download. This Handbook is the ultimate guide to all things entity data: Why Entity Data is important A full review of Legal Entity Identifiers (LEIs) Where they came…
Data Management Summit: Arguing the Case for Shared Services
The A-Team Group Data Management Summit held in London this week opened with a review of the company’s Regulatory Data Index and a keynote presentation by Nick Murphy, director of consulting at IGATE, on the potential of shared services or utilities for reference data management. Regulatory Data Index The A-Team Regulatory Data Index sponsored by…
Final Call for Input to ESMA Study on a Messaging Protocol for Reporting under MiFIR
The European Securities and Markets Authority (ESMA) is canvassing market participants’ views on messaging protocols for transaction reporting under the Markets in Financial Investments Regulation (MiFIR) in a questionnaire with a response deadline of March 6, 2015. The questionnaire is part of a study on technical formats for MiFIR commissioned by ESMA and contracted to…
Opinion: How Machine Learning Solves Client Onboarding, by Adam Devine, WorkFusion
Brute force can’t solve onboarding. Machine learning can. Here’s how. Throwing headcount at the ubiquitous client onboarding problem hasn’t worked. It’s still a mess. Offshoring just sweeps the mess under the rug, and the expression, “misery loves company” is a good way of describing the impact of utility plays. Every onboarding solution on the market…