# DataControl Platform: intelligent private equity data management

> A mid-market private equity firm · Private Equity

DataControl Platform is QuantSpark's web application for PE firms: one place to collect, validate, visualise and sign-off portfolio data. One platform, one source of truth, fewer spreadsheets.

## At a glance

- **27%** Data accuracy uplift · >1 FTE freed · £120k/yr saved
- Engagement: Two-phase deployment · ongoing platform
- Team: QuantSpark product + data engineering

## What was the problem?

Private equity firms need accurate, timely data from every portfolio company to run monitoring and underwrite decisions. Most of them don't have it.

Analysts spend weeks cleaning Excel workbooks, chasing investees for missing numbers, and reconciling board packs that never quite match the latest submission. Investment managers end up making decisions on data that is incomplete, inconsistent, or a fortnight stale. A lack of standardisation across portcos introduces reporting risk, and the whole process concentrates key-person dependency in one or two senior people who own the spreadsheets.

## What did QuantSpark do?

**DataControl Platform.** A customisable web application that gives PE firms a single source of truth for portfolio data, deployed in two phases.

**Phase 1: MVP web app.** We stand up the core product: a templated Excel upload portal, automated validation panel, board-pack comparison view, and a formal sign-off flow with audit logging. Investees use the front-end to submit and self-triage. The PE firm uses the control hub to monitor submissions and approve.

**Phase 2: extended functionality.** On top of the MVP, we add historical data views, AI-generated board pack summaries and risk flags, custom analytics and a sandbox analytics environment, plus any bespoke modules selected from the DataControl catalogue: Data Upload and Validation, Board Pack Uploads, Portfolio and Fund Overviews, Streamlined Approvals, Company Explorer, and Custom Analytics.

Onboarding begins with a discovery phase: data quality assessment, ROI opportunity sizing and product offering selection, then product configuration, cloud integrations, pipeline automation and training.

## What changed?

Flagship deployment with a mid-market private equity client showed the pattern the platform is built to produce.

**Time savings.** Over one full-time employee of senior analyst time freed from manual data collection and reconciliation.

**Data quality.** Reconciliation accuracy up by around twenty-seven percent once raw submissions were replaced with templated uploads and automated validation.

**Cost saved.** Roughly one-hundred-and-twenty-thousand pounds a year of manual effort removed from the reporting cycle.

**Governance.** Every submission now passes through a named, audit-logged approval chain, removing key-person risk and late submissions in one move.

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Canonical page: https://quantspark.ai/case-studies/datacontrol-platform
More about QuantSpark: https://quantspark.ai/llms.txt