
The next leap in value creation: How Game Changers are defining the future of business
Companies that will grow and create value are solving global crises, leveraging exponential technologies, and adopting game changing business models.
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.
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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.
Talk to Stephen about how we use analytics to drive differentiated decision making.
Stephen Coyle
Principal, PwC US
Email
+1 203-822-4410
Performance insights provides a suite of sub-sector analytics to drive insights during the due diligence phase and deliver actionable insights at deals speed. Our digitally enabled team of deals professionals will help you isolate key deal issues and assess investment thesis, utilizing proprietary methodologies supplemented by third-party data. We’ll help you navigate the complexities of the diligence process, on both the buy and sell side, and uncover opportunities for value creation.
We start by 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 sub-sector teams use proprietary algorithms, 1000s of industry data sets and subject matter knowledge to bring rapid fire, iterative insights and data-backed perspectives. At deals speed, we 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.
From analyzing millions of subscribers and dozens of price points to drawing insights from the complexities in buyer paths, our TMT analytics specialists are experienced in efficiently and flexibly delivering in hyper-competitive deal environments. We’ll help you see a path forward even through analyzing traditionally inconsistent metrics like churn, pricing, product bundling, ARR and retention rates. We’ll show you the value, so you can make a confident deal decision. Post-close, we will work with you to achieve the value discovered during due diligence.
“Based on their deep analytics, deals, and sub-sector experience, our analytics professionals and data scientists develop clearly articulated, value-focused insights all at deal speed.”
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