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The Year in Data: 2025’s Biggest Trends and Developments
The past 12 months saw breakneck developments in how firms applied artificial intelligence. AI began to change from a mere tool to an integral part of capital markets operations. The year also saw data services providers launch multiple products for the growing private markets investment sector. Data Management Insight spoke to leaders in our industry…
ESMA’s “Data Day” and Regulatory Digitalisation
When ESMA convened its first ‘Data Day’ on 2 December 2025, the agenda title – “Burden reduction in the digitalisation era” – captured a shift that has been building across Europe’s regulatory landscape for several years. While markets been advancing shared data models and machine-executable reporting logic through initiatives such as the Common Domain Model…
A-Team Group Announces Winners of its Data Management Insight Awards Europe 2025
A-Team Group has announced the winners of its Data Management Insight Awards Europe 2025, celebrating the latest outstanding contributions from companies recognised for their innovation, expertise and performance. Now in its fourth year, these annual awards acknowledge the leading providers of data management solutions, services and consultancy services to capital markets participants across Europe. Established…
Data Transparency ‘Crisis’ Hampering Private Markets: Report
Private markets investors are dogged by a “data transparency crisis” that is exposing them to greater risk of compromising their fiduciary integrity and losing their competitive edge, according to a new report. In what the authors call a private markets paradox, the report by Rimes states that investors are beset by a lack of data…
The Transparency Imperative: Forging Competitive Advantage in Private Markets Through Next-Generation Data Management
Private assets markets are growing in importance to the global economy, with asset under management at their highest on record. However, these markets – which comprise a growing list of asset classes that include private equity and hedge fund holdings, private credit exposure, property and other alternatives – are founded on outdated and high-risk data…
Hidden Dangers in the Race to ‘AI-Readiness’
The data ecosystem has been awash with references to “artificial intelligence readiness” in the past few months, a reflection of the importance being placed on the technology within capital and private markets. The term is generally used in calls for institutions to upgrade their data management systems to ensure their data is of good enough…
LemonEdge Seeks to Fill Tech Gap in Private Fund Accounting
As private markets and assets grow in importance to institutional investors, so are the challenges they face; not least of all their data processes. A report by Dynamo Software in February found that the biggest challenges faced by accounting professionals in private equity, venture and hedge funds were tech and data-related; manual data entry and…
Nature-Risk Data Proposals Hailed as Pathway to Better Investment Decisions
Proposals to improve the nature-risk data value chain has been welcomed by sustainability data leaders who said they will pave the way for better decision making and reporting by financial institutions and provide more detailed analyses for investors. The proposals offer a slate of principles to improve the quality of state-of-nature data collection and integration…
UK’s FRC Issues Standard for Sustainability Data Assurance
The UK’s Financial Reporting Council (FRC) has issued International Standard on Sustainability Assurance (UK) 5000 to provide a consistent, internationally aligned assurance standard for voluntary use in sustainability assurance engagements.The UK Standard is intended for voluntary use by UK assurance providers and applies to both limited and reasonable assurance. Sustainability assurance assesses the credibility of…
FpML to DRR: TradeHeader’s Journey to the Heart of Regulatory Data Standards
Digital Regulatory Reporting (DRR) has gained momentum as the industry looks to replace fragmented, firm-specific interpretations of reporting rules with a shared, machine-executable model that consistently links regulatory requirements to the data used to fulfil them. Rather than relying on templates, local mappings and bespoke logic embedded deep within legacy systems, DRR provides a common…