Data Management Insight Data The latest content from across the platform
Data Visualisation – the Challenges and Opportunities
Data visualisation is a highly desirable tool for many participants in capital markets. It has the potential to aid decision making and add value, signpost new products and business opportunities, and provide the insight necessary to mitigate risk. It also presents challenges, particularly around data quality and legacy technology, although developments over the past couple…
BNY Mellon Adds SimCorp Dimension to Buy-side Open Architecture Platform
BNY Mellon’s recent partnership with SimCorp to connect the bank’s custody capabilities with SimCorp’s Dimension investment management solution plays well into the bank’s goal of offering an open architecture that will transform investment management models by easing integration, increasing transparency and streamlining data delivery across the investment lifecycle. The bank started to build an open…
SteelEye Extends Reach with Office in Paris
SteelEye, a compliance technology and data analytics firm, has taken the next step in its international expansion with the opening of an office in Paris. The office supports SteelEye’s rapid growth and positions the company closer to regulated financial markets in France, as well as the Benelux region, Switzerland and many of its existing clients….
Asset Managers Let Down by Ineffective Data Management Systems
Asset managers already challenged by regulatory compliance and ongoing pressure on fees are being let down by data management and processes that are not very effective at supporting business and operational decision making. According to recent research commissioned by Asset Control, more than two thirds (69%) of asset managers claim their systems are not very…
Best Practice Client Onboarding
Client onboarding is central to the success of banks, yet it continues to present challenges and the benefits of getting it right are difficult to achieve. The challenges arise from siloed systems, manual processes and poor entity data quality. The potential benefits of successful implementation include excellent client experience, improved client acquisition and loyalty, new business opportunities, reductions in costs, competitive advantage, and confidence in compliance.
How Machine Learning is Changing Data Management and Investment Processes for Active Managers
By Martijn Groot, Vice President of Marketing and Strategy, Asset Control. Artificial Intelligence (AI) and machine learning techniques are finding their way into financial services. Ranging from operational efficiencies to more effective detection of fraud and money laundering, firms are embracing techniques that find patterns, learn from them, and can subsequently act on signals coming…
A-Team Group Names Winners of 2019 Data Management Insight Awards
A-Team Group has announced the winners of its 2019 Data Management Insight Awards. The annual awards, now in their seventh year, are designed to recognise leading providers of data management solutions, services and consultancy to capital markets participants. See the full list of winners here. The awards were hosted by Andrew Delaney, chief content officer…
Siren Sets Plans for Investigative Intelligence Platform Following $10 Million Funding
Siren will invest in the development of its investigative intelligence platform and its geographic reach following receipt of $10 million in Series A funding. John Randles, CEO at the Galway, Ireland based company, says the focus will be on the platform’s ease of use, integration and sources of data that can be managed. Siren’s geographic…
The Potential of Privacy-Enhancing Technology to Improve Data Quality
Privacy-enhancing technology (PET) is emerging as a way for financial services firms to share and compare confidential data without compromising competitiveness or data privacy compliance. An early example is an industry initiative that uses advanced information security techniques and looks set to enable European and US financial services firms to improve the quality of their…
Broadridge Partners Tookitaki to Deliver AI Based Data Reconciliation Platform
Responding to the ongoing industry challenge of data reconciliation, Broadridge Financial Solutions has released Data Control Intelligent Automation, an artificial intelligence (AI) and machine learning (ML) platform built for deployment across reconciliation, matching and exception management applications. The solution has been developed with Singapore-based Tookitaki, a provider of AI and ML technology. The platform will…