Private Equity & Value Creation

We help private equity firms unlock value across the portfolio with analytics, custom software, and AI solutions tailored to every portfolio company.

OVERVIEW

The data exists inside every portfolio company. Unlocking it across the portfolio is the harder problem.

In a private equity portfolio, every company already sits on operational data that could drive growth or surface efficiency. Getting to that data, making sense of it consistently across companies, and turning it into solutions that create value at scale is where the real work begins.

We help private equity firms and their portfolio companies do exactly that. From dedicated data lakehouses at each portfolio company to portfolio-wide reporting, custom software, machine learning, and generative AI, our work is designed to make analytics a measurable lever for value creation across the portfolio.

WHAT WE HEAR FROM NON-PROFIT LEADERS


No portfolio-wide visibility

0.1

Each portfolio company reports differently, making it labor-intensive for the PE firm to get a consistent view of how the portfolio is performing.


Best practices stay siloed

0.2

Analytics solutions rarely scale across portfolio companies, leaving value untapped.


Tuck-in complexity

0.3

Acquisitions add new systems, data formats, and operating practices faster than the portfolio company can absorb them, leaving leadership flying blind on the combined business.


Limited internal analytics capacity

0.4

Portfolio companies rarely have the in-house data and analytics talent to build the solutions that would actually drive value creation.

COMMON SOLUTIONS

What we typically build for PE firms and their portfolio companies.

  • Portfolio-Wide Reporting

    Each portfolio company runs different systems and reports differently, which makes consistent portfolio-wide visibility painful to assemble. We build a centralized reporting layer that pulls KPIs from each portfolio company, normalizes them through business logic, and presents them in a single, easy-to-read format. The PE firm keeps a finger on the pulse of the entire portfolio without having to chase down each management team for an updated number.

    ✓Apples-to-apples comparison across portfolio companies

    ✓Revenue, EBITDA, and operational KPIs in one view

    ✓Drill-down from portfolio summary to individual company performance

    ✓Automated refresh from each portfolio company's source systems

  • Pre-Deal Analytics

    Pre-deal analytics gives the deal team a deeper read on the target than the data room alone can provide. Working in close coordination with your deal team and the target's data, we use big data, machine learning, and AI techniques to surface growth opportunities, efficiency levers, and risks that strengthen or defend the investment thesis. The output is insight that can be factored into the bid, the offer letter, and the first hundred days.

    ✓White space and customer retention modeling

    ✓Profitability and cost-to-serve analysis at the transaction level

    ✓Operational efficiency analysis on supply chain, logistics, or production

    ✓Rapid turnaround built around deal timelines

  • 360-Degree Portfolio Company Analytics

    Each portfolio company needs its own data foundation and its own analytics layer to actually move the business. We build dedicated data lakehouses and a suite of 360-degree dashboards that span the boardroom, middle management, and frontline teams. Each level works from scorecards tied back to the management team's priorities, so the whole organization is pulling in the same direction.

    ✓Dedicated lakehouse for each portfolio company

    ✓Boardroom dashboards tied to management's strategic priorities

    ✓Middle management and frontline scorecards

    ✓Near real-time refresh on the metrics that drive the business

  • Custom Software, ML & AI at Portfolio Companies

    Once a portfolio company has a clean data foundation in place, the range of solutions that becomes possible grows quickly. We build custom software, machine learning models, and generative AI applications tailored to the operational reality of each portfolio company, including quote calculators for the sales team, route optimization for delivery, SKU-level profitability analysis for management, and more. Each solution at one portfolio company becomes a playbook that can be replicated across the rest of the portfolio.

    ✓Custom software tailored to the portfolio company's operations

    ✓Machine learning models for forecasting, scoring, and optimization

    ✓Generative AI applications integrated into team workflows

    ✓Reusable playbooks that can be deployed across the portfolio

CASE STUDY

How McCain Capital is driving portfolio-wide value creationt through data and AI.

HIGHLIGHTS

Per-company

Data lakehouses across the portfolio.

Boardroom to frontline

Analytics for every level of the business.

AI, ML & custom software

Delivered on top of the data foundation.

Portfolio-wide

Sharing of analytics best practices.

TESTIMONIAL

Data SEA collaborated seamlessly with our team and portfolio company executive teams to develop tailored analytics roadmaps that catered to the unique needs of each company while fostering synergies between them. They have built powerful analytics solutions across the portfolio that have enabled us to better understand our businesses and improve how we operate them.


Zac McIsaac |
Partner, McCain Capital Partners

Q&A

Things we hear from private equity leaders.

The questions every PE partner, operating partner, and deal lead asks us in their first meeting.

Curious what your portfolio's data could do for value creation?

Set up a 30-minute conversation with one of our partners to talk through your portfolio, where data sits across your companies today, and where it could be working harder for you.