Data Management Insight Blogs The latest content from across the platform
Data Management Summit: The Case for Cloud Computing
Cloud computing is evolving and becoming a realistic option for reference data management on a large scale, despite ongoing concerns about data security and control. The potential of reference data management in the cloud was discussed at last week’s A-Team Group Data Management Summit in London during a panel session led by A-Team chief content…
Lombard Risk REPORTER Enables Firms to Meet European and Local Liquidity Coverage Reporting Requirements
Lombard Risk Management, a leading provider of integrated regulatory reporting, collateral management and compliance solutions for the financial services industry, is pleased to announce that REPORTER is actively in use by firms for the creation and submission of regulatory liquidity reporting in line with both the European Banking Authority’s pan-European and local UK regulatory Prudential…
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…
All You Need to Know About Entity Data
We’ve been tracking entity data and issues around its management for a good number of years now. In fact, the topic of Legal Entity Identifiers was one of our hottest for a couple of years. And while the emphasis continues to shift (right now, client onboarding is what it’s all about!), the issue at the…
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…
State of Wisconsin Investment Board Details its Implementation of Markit EDM
The State of Wisconsin Investment Board (SWIB) plans to make Markit’s enterprise data management (EDM) solution the centrepiece of its new MIDaS data architecture. The architecture requires Markit EDM to support data distribution, quality control and mastering, and is designed to improve processes including the delivery of external data to SWIB and the internal integration…
Datactics Adds Data Quality Manager to FlowDesigner Platform
Datactics has extended its FlowDesigner data quality and matching software with the addition of Data Quality Manager (DQM), a browser-based application that makes the software easier to use and control across a firm with multiple data sources and an existing master data management solution. DQM works with FlowDesigner to support rapid configuration and management of…
iMeta Technologies Integrates Assassin Entity Data Management Platform with Avox Web Services
iMeta Technologies has integrated its Assassin entity data management platform with Avox’s recently released web services to deliver an automated solution for client onboarding and ongoing client data management. Avox introduced web services based on application programming interfaces (APIs) that are designed to provide fast electronic access to its legal entity data early this month….
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…