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Opus Resolve API Searches Multiple Entity Databases in Real Time
Opus, parent of Alacra, has introduced Resolve API, an application programming interface designed to help firms search multiple entity databases in real time and speed up the integration of entity reference data with businesses processes. A couple of early adopter banks are using the solution to maintain a single and accurate view of client records…
Get Ready for the Revolutionary Requirements of the CAT
The US Consolidated Audit Trail (CAT) is a broad, detailed and revolutionary regulation mandated by the Securities and Exchange Commission (SEC) and due to come into force in 2018. Its data requirement surpasses that of its predecessor, the Order Audit Trail System (OATS), and presents challenges around the reporting of correct customer and account data….
Diarmuid O’Donovan Steps up to the Plate at Rimes
Diarmuid O’Donovan, ex chief data officer at Legal & General Investment Management (LGIM), has returned to the capital markets industry as chief operating officer at Rimes Technologies. O’Donovan left LGIM early this year and joins Rimes to support the company’s buy-side managed data services. At LGIM, O’Donovan was responsible for delivering an enterprise-wide information management…
Recorded Webinar: Learning from MiFID II for CAT reporting and data management
Compliance with the SEC’s Consolidated Audit Trail (CAT) regulation is just over 18 months away, meaning broker dealers within the scope of the regulation need to get started on their response. Like Markets in Financial Instruments Directive II (MiFID II), CAT reporting presents significant – and similar – data management challenges, particularly around customer, account…
RegTek Delivers Tactical Software to Support Strategic Approaches to Regulation
RegTek Solutions, a subsidiary of Risk Focus formed early this year, has introduced EMIR-Ready, a regulatory readiness testing and validation service designed to help firms within the scope of European Market Infrastructure Regulation (EMIR) comply with changes to the regulation’s Regulatory Technical Standards (RTS) that come into play on 1 November 2017. EMIR-Ready is a…
The Regulatory Stick and Beneficial Carrot of Data Governance
If the stick behind data governance is regulatory compliance, the carrot is business and operational benefit stretching to revenue creation, reduced expenditure, better customer satisfaction and improved data to solve business problems. The challenges and opportunities of data governance were discussed during this week’s A-Team Group webinar, A Step-by-Step Guide to Implementing a Data Governance…
Breaking the EDM Mould
The regulatory drive for transparency across capital markets is pushing traditional enterprise data management (EDM) solutions, such as data warehouse platforms and extract, transform and load (ETL) systems, towards breaking point. An emerging and disruptive approach to EDM is based on open source high-performance data bus technologies that are particularly good at ingesting and routing…
Misato Takes Disruptive Technology Approach to Enterprise Data Management
Misato is addressing financial institutions’ enterprise data management (EDM) challenges with a disruptive approach based on open source high-performance data bus technologies. The company’s Data Hub moves away from traditional data warehouse and extract, transform and load (ETL) solutions to focus on how data is consumed by applications. Working backwards, the hub can then reduce…
How to Implement Data Quality Metrics that Deliver for the Business
Data quality metrics are essential to financial firms and can deliver significant operational benefits that are increasingly driven by emerging technologies such as machine learning. The business case for metrics, best approaches to implementation, and the potential of technology to improve both data quality and metrics were discussed during a recent A-Team Group webinar, Using…
Making Data Valuable Requires Quality and Structure
Building the ability to recognise the value in data and derive that value for the enterprise is a complicated proposition to include in data management models, according to experts who spoke at the Data Management Summit hosted by A-Team Group in New York earlier this month. First, firms should establish an “accountability structure through a…