Most private capital firms are looking to transition from manual, Excel-heavy operations to enterprise automation and AI.
The question is: what actually moves firms forward?
Below is Holland Mountain’s Digital Maturity Scale – a framework we use to help firms understand where they are today, and what they need to progress towards their operational goals.
At the lower end of the scale — At Risk to Established — the focus is on getting the fundamentals right. Implementing core systems. Building governance. Standardising processes. Firms here are data-siloed, and teams spend the majority of their time aggregating and reconciling rather than analysing.
As firms progress into Optimized and beyond, the focus shifts to integration, automation, and advanced analytics. People are validating data rather than producing it, and firms start to benefit from enterprise automation and AI.
The real enabler between these stages is the Enterprise Data Platform.
Without it, data stays fragmented in silos. Teams keep reconciling in Excel. Reporting stays manual, and AI use cannot scale. It is not optional. It is the foundation that everything else is built on.
Why the Data Platform Changes Everything
The Enterprise Data Platform creates a single, trusted data foundation. It enables process and reporting automation at scale. And it provides the infrastructure for secure and effective AI adoption.
A best practice data platform follows a three-layer “medallion model” architecture that moves raw source data through to trusted, business-ready insight:
- Bronze: Connect. Ingest data from across your ecosystem — operational systems, market data providers, fund administrators — in its raw source format.
- Silver: Organise. Map, validate, reconcile and enrich that data into a single, mastered version the whole business can rely on.
- Gold: Insights. Apply private markets-specific models, calculations and transformations, structured for how PE firms actually work, and feed any reporting, BI or AI layer downstream.
Jargon aside, the principle is simple: a data platform is the engine for turning data from a burden into an asset for the whole firm.
What a Data Platform Unlocks
1. Free your teams to do the work that matters
In most PE firms today, the majority of reporting effort goes into producing and reconciling data, not using it. A data platform automates that production, so your people spend their time on analysis, judgment, and decisions rather than spreadsheet management.
2. Make decisions you can defend instantly
LP scrutiny, regulatory pressure, and board expectations are at an all-time high. A data platform means every figure has a source, every calculation has a history, and every decision is made on data the whole firm trusts.
3. Answer your LPs in minutes, not days
The firms attracting and retaining the best LPs are those that answer complex queries, across funds, vintages, strategies — in hours, not days. That capability gap is visible and widening.
4. AI is already here — and it needs clean data to work
The firms seeing real results from AI are those with clean, structured, trusted data already in place. Without a data platform, AI tools work from the same fragmented inputs that cause problems manually. The bottleneck was never the AI — it is the data beneath it.
5. Stop rebuilding every time the market moves
Firms without a data platform rebuild their infrastructure every time they adopt a new tool. Firms with one can swap components in and out without disruption. That agility is a competitive advantage that compounds over time.
ATLAS: A best-in-class data strategy
ATLAS is the Enterprise Data Platform purpose-built for Private Capital, helping firms gain scalability, efficiency, and the trusted data foundation to make AI work.
The largest, multi-asset fund managers already rely on ATLAS to turn their data into a strategic advantage across fundraising, investments, finance, and operations.
Contact us to get a demo of ATLAS and adopt a best-in-class data strategy.
