Deal Analytics

Creating value through the deal lifecycle

Helping you make better investment decisions and improve performance through data

We combine our expertise within deals, operations, strategy and data and analytics to realize maximum value throughout the deal lifecycle. Let us show you how we deliver insights and improve performance through advanced analytics and technologies.

PwC Deal Analytics

The deal cycle

Today's fast-changing business and technology landscapes present unparalleled opportunities for faster and more transformative growth.

Deal Analytics can help you harness that potential - but doing so requires deep deal fluency to uncover the insights behind the information.

We can work with you at any point in your journey to turn complex data into business intelligence.

We can deliver the right advice at the right time to make the right decision.

Click on the deal cycle to find out more...

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Focus areas and techniques

Our wide range of advanced analytical tools and techniques can provide innovative solutions and derive insight for our clients.

Geospatial insights

We use the latest geospatial technology to bring new insights and perspectives from location-based data. We combine client data on financial performance and customers with external data sources such as demographics, traffic and geography. Our analysis aid clients in assessing the drivers of business performance, underpin future growth plans or identify overlap between client and other market players.

Predictive analysis

We use supervised machine learning methods to predict future outcomes. Which customers are likely to cancel their subscription, and what factors are driving the decision? By predicting churn, we can assess potential upside in future revenues. By understanding the drivers, the client can strategically target customers that are likely to churn.

Pattern recognition

We apply unsupervised machine learning and visualisation tools to uncover relationships in clients’ customer and product datasets, along with external data such as text in online reviews. We aim at understanding the relationships between business drivers and how customers interact with the business.