About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Data Infrastructure Faces Stress Test as Private Credit Consolidation Beckons

Subscribe to our newsletter

By Charles Sayac, Managing Director EMEA West, NeoXam.

A bout of consolidation unseen in the sector’s history may be on the cards for the private credit space – one that threatens to unearth a host of complex data challenges for the unprepared.

A recent Carne Group report revealed almost all (96 per cent) of private debt managers expect industry-wide consolidation over the coming five years, with nearly three-quarters expecting M&A activity to be significant. The news follows BlackRock’s acquisition of global alternative credit investment manager HPS Investment Partners in late 2024, while, across the pond, both Franklin Templeton and Clearlake have branched into the European private credit market by acquiring Apera and MV Credit, respectively.

Several structural factors are driving the trend, one of the most significant being the degree of investor demand for compelling alternative assets. Not only have private markets become increasingly sought after among retail investors in recent months, but they are also gaining traction with thematic investors, who view certain areas of private credit as a savvy way to tap into emerging trends, technologies and sectors.

It is hardly surprising that large investment managers are opting to acquire private credit firms in this context. After all, a successful takeover can offer speedy access to the specialist expertise and scale required to compete in what is an increasingly competitive and complex market. That’s not to say the strategy is without its risks, though.

Integration Worries

Concerns around cultural integration are often cited when a merger is planned, as are potential conflicts of interest between investment strategies and headaches around the number of additional regulatory hoops through which a firm must jump. Yet, what is typically overlooked is the extensive groundwork required to ensure the data infrastructure underpinning the business’ front, middle and back-office operations is equipped to handle the complexity of a merger.

One of the trickiest challenges centres on integration. When firms merge, they encounter the daunting, albeit essential task of meshing vastly disparate data systems, sources and processes. Customer relationship management, investment portfolio oversight and performance reporting are just a few of the extremely data-dependent processes that must be housed under a new roof.

From a data management perspective, this can be fraught with teething problems. Data silos – whereby key data is stored and managed separately across different departments or applications – often hamstring merging firms, as applications fail to communicate and share data seamlessly. Breaking down these silos will be crucial for merging firms if they are to create a unified view of financial performance and client information – a cornerstone of any effective asset management strategy.

This is particularly important if the firm being acquired deals in more opaque and illiquid assets like private credit, which depend on processing a vastly different set of data. Unlike public equities, which benefit from standardised reporting and frequent pricing data, credit investments tend to involve bespoke loan agreements, irregular cash flows and complex covenants.

Nuanced Approach

Much closer scrutiny of the data from risk and compliance teams is necessary, as well as more manual data inputs. If the acquiring firm’s systems aren’t designed to accommodate these nuances – or if integration between platforms isn’t seamless – the result can be inconsistent reporting, delayed valuation calculations or even failure to comply with regulators.

With a tidal wave of takeovers set to sweep through the private credit space over the coming year or so, the firms best equipped to deal with the data dilemma inherent in mergers will be those that prioritise investing in scalable, interoperable data infrastructure. Those that don’t could find they are treading water when operational teething problems flood in.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

Snowflake Retools Cortex to Offer FSI Tailored AI Capabilities

Snowflake’s Cortex AI features has been enriched to provide financial services companies with agentic artificial intelligence capabilities honed to their specific needs, the first of a planned suite of editions focused on individual industries. Cortex AI for Financial Services will feature all the functionality of the platform’s Cortex features but will offer clients large language models that...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

The Data Management Implications of Solvency II

Bombarded by a barrage of incoming regulations, data managers in Europe are looking for the ‘golden copy’ of regulatory requirements: the compliance solution that will give them most bang for the buck in meeting the demands of the rest of the regulations they are faced with. Solvency II may come close as this ‘golden regulation’:...