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...
Video: From Silos to Strategy — Rocket Software’s Michael Curry on the Data Maturity Playbook
According to Michael Curry, Rocket Software’s President of Data Modernisation – data management has grown up. The job now isn’t to just accumulate and store data, but to see it, trust it, and use it regardless of where it lives. Leading teams now map end-to-end data flows, enforce shared definitions, and assign clear ownership so...
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...
From Broker Bias to Independent Insight: The Case for Cloud-Native TCA
For years, the path of least resistance for buy-side transaction cost analysis (TCA) was simple: let the broker do it. Historically, asset managers have relied on their execution counterparties to provide post-trade reporting. It was a workflow of convenience. Brokers executed the trades and subsequently provided the analysis on how well they performed. However, this...
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...
From Noise to Signal: How AI is Revolutionising Data Discovery for Traders and Investment Managers
The financial markets have never suffered from a lack of data. If anything, the challenge for modern traders and investment managers is quite the opposite: they are drowning in it. From real-time pricing and news feeds to unstructured earnings call transcripts and social media sentiment, the volume of information is immense. The critical differentiator in...
Duco Unveils ‘Agentic Workspace’ to Bridge Human-AI Collaboration in Operations
Duco, the AI-powered data automation company, has announced the launch of “Agentic Workspace,” a new collaboration layer within the Duco Platform designed to integrate human expertise with autonomous AI agents. Planned for general availability in Q1 2026, the workspace aims to provide financial institutions with a transparent, auditable environment where operations teams can build, maintain,...
SEC’s 2026 Examination Priorities – 10 Notable Changes
The U.S. Securities and Exchange Commission (SEC) has released its Examination Priorities for 2026, and while many supervisory themes continue from 2025, the tone and structure of the new document reflect a decisive pivot. After years of rapid organisational expansion and broadening remit, the Division of Examinations is now emphasising consistency, prioritisation and the effective...
The New Shape of Market Data: Why Institutions Are Moving Toward a More Modular, Machine-Readable Architecture
For decades, the market-data ecosystem has been defined by reliance on a handful of dominant vendors. Their breadth, depth and entitlements frameworks became foundational to both the trading desk and the wider enterprise. But the requirements of the modern financial technology stack have shifted dramatically. Cloud-native development, agentic AI workflows, and a proliferation of analytics-driven...