In volatile markets, projecting a company’s ability to deliver on the investment thesis becomes ever more complicated. Revenue and growth potential are key – but they can be hard to forecast with confidence. That’s where we come in. We combine large-scale engineering, statistics, and machine learning to analyze customers, products, services, and channels.
That allows us to predict:
West Monroe’s Data Science for Private Equity offering is powered by our Intellio® suite of assets. We help you see value where others cannot.
Learn more about West Monroe’s Intellio® suite of assets that deliver results, faster.
We use data science and advanced analytics to transform raw customer data into actionable insight and business value across the private equity transaction lifecycle—from due diligence to post-close value creation to successful exit.
We put data science capabilities to work during due diligence to de-risk investments, instilling confidence around the ability to achieve short-term numbers. We also validate maturity and growth potential to inform accurate valuations and negotiations.
Following investment, we can quantify upside between best and worst customers, SKUs, and channel segments. We also benchmark white space opportunities using our rich proprietary knowledge base – derived from analyzing more than 143 billion data points.
This insight guides the right operational improvements for maximizing value:
As you prime your portfolio company for sale, we help you identify the optimal time and plan for exit, as well as untapped upside that can attract prospective buyers and maximize value creation.
transaction level revenue data analyzed
years of data science research
in closed private equity investments across software, financial services, consumer and industrial products, retail, and other sectors