Delivering business-driven, data-fueled human thinking
At PwC we’re betting big on data, analytics, and a digital revolution to transform the way deals are done. Mergers and acquisitions (M&A) analytics is increasingly a major driver of competitive advantage in transactions and value creation for portfolio companies.
PwC uses advanced techniques in data science to help you make smarter decisions, uncover more value and create better returns on investment. From predictive analytics to machine learning and beyond. We bring data insights in the moment, and agility that helps you change course for what’s next.
Our deal analytics practice blends data scientists and deal professionals. Their sector-specific approach, applying proprietary solutions, data sets and subject matter knowledge, brings hypothesis-based diligence at deal speed. Our teams focus on improving insight, lowering risk and a clearer path to value creation.
Beginning with deal threshold questions, our PwC deal analytics specialists build analysis to support deal models and equity stories across the full deal continuum. Our global M&A data analytics community drives data-fueled, human thinking that increases value before, during and after your transaction.
Stephen Coyle is based in Boston and leads the Deal Analytics practice. He brings together data scientists, statisticians, econometricians and deal professionals all focused on providing Deals clients with deeper analytics driven insights.
Nate Barnes is based in Chicago and leads the data science initiatives within deals. He is passionate about harnessing data, analytics, and technology to drive big decisions and transform organizations.
Talk to Stephen and Nate about how we use analytics to drive differentiated decision making.
We start with understanding the historical buying patterns of your customers and predicting future trends in their behavior. We look for potential levers for value creation. Digital diligence is performed to provide an overall view of your target relative to competitors, as well as a clear understanding where to focus. Our sector teams use proprietary algorithms, 1000s of industry data sets and subject matter knowledge to bring rapid fire, iterative insights and data-backed perspectives. Deal analytics can help address relevant industry topics and challenges including quality of revenue, market dynamics, cost pass-through, price elasticity, customer cohorts and predictive churn analytics among others.
“Based on their deep analytics, deals, and sector experience, our analytics professionals and data scientists develop clearly articulated, value-focused insights all at deal speed.”
