Drive smarter deals with AI-powered Analytics and Technology​

Deal Analytics & Technology

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Wenzel und Willershausen

Dr. Johann Wenzl
Partner, Deal Analytics at PwC Germany
Tel.: +49 1516 4676062
Email

Dr. Timo Willershausen
Partner, Deal Analytics at PwC Germany
Tel.: +49 1512 6509161
Email

Deals expertise combined with advanced analytics and AI competence across the deal-lifecycle​

Deal Analytics & Technology transforms how you understand and execute deals. Our PwC Data Hub integrates financial, operational, and alternative data streams – from web traffic and social media to geospatial signals – creating a comprehensive, data-driven equity story that reveals what truly drives value. We uncover hidden performance drivers in pricing, retention, and cost-related areas across multiple data dimensions. The result: smarter investment decisions, de-risked transactions, and aligned stakeholders focused on what matters most.​

Our data cube adapts to your deal complexity. Whether you're evaluating a single asset or orchestrating multi-site integrations across sectors and geographies, our platform scales instantly. We deliver granular, bottom-up insights that enable real-time scenario modelling and rapid post-merger integration – revealing critical value dimensions, interdependencies and synergies throughout your transaction.​

Beyond closing, we deliver operational excellence for your day-to-day business. Our cloud-based analytics platform gives CFO teams complete data transparency and robust governance from day one. Automated reporting, seamless consolidation, and interactive dashboards tracking financial and operational KPIs accelerate synergy capture, ensure compliance, and empower the strategic decisions that drive lasting value creation.​

“Greater confidence in pricing, greater clarity on synergies, more substance for your investment decision. Our Deal Analytics team systematically examines data-driven business models – from unit economics and churn analysis to the scalability of the tech stack. The result: investments with measurable value creation.”

Dr. Johann Wenzl,Partner at PwC Germany

Deal Analytics & Technology

Make smarter and faster decisions with AI, tech and deals expertise

Graphic "Deal Analytics & Technology"

Understand your unit economics with our software-specific, off-the-shelf solutions and gain quick insights into your ARR development and customer cohorts.

To optimize your sales, we deliver customized insights that help you understand your customer and product dynamics.

Leverage our social listening tools and advanced website analytics to understand the targets’ digital landscape during the diligence phase and unlock hidden value-creation potential.

Optimize your footprint using Geo-Financial Analytics integrating geospatial insights and financial data to drive strategic growth in location-based businesses.

We close diligence gaps early, craft a data-backed equity story, and prepare the single-source-of-truth for an efficient sell-side process.

Accelerate value creation enriched with alternative data and AI-powered analytics combining ML models, generative and explainable AI for smarter decisions.

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Project Highlights & Best Practices

Software Analytics for refinancing

A bottom-up ARR data cube combined with a dynamic dashboard leads to better refinancing conditions for a software company.

A software company, providing leading SaaS-solutions for utility companies in the DACH-region, seeking a re-financing after a successful buy-and-build phase, mandated us to harmonize the ARR data of the six acquired legal entities from various ERP, CRM and accounting systems into one coherent data cube. The bottom-up ARR data cube, integrated bookings, contracts, billings and usage data into a single source of truth and was visualized in a dynamic Power BI dashboard, to quantify cohort dynamics, churn, upsell, pricing, and forward-looking scenarios. The holistic view on major KPI trends strengthened the equity story, resulting in confidence among the debt providers leading to favorable re-financing terms and preparing the company for the potentially upcoming exit. 

Digital Marketing Due Diligence for a D2C clothing brand.

A private equity investor leveraged digital analytics to substantiate its investment hypothesis in the course of acquiring a D2C clothing brand.​

A leading private equity firm considered acquiring an online apparel brand with substantial sports sponsorship spend. Given the target’s D2C model and dependence on customer reach, the buyer sought evidence of digital marketing effectiveness. We ran cross-platform social listening (YouTube, X, Reddit, news) to quantify event-driven mentions and engagement, linking campaign exposure to web-traffic acceleration. Peer benchmarking and conversion analysis showed materially larger traffic spikes and higher conversion rates during sports events compared to competitors, confirming strong marketing ROI. The findings supported the investment hypothesis and guided post-closing value creation.

Geo-Financial Analytics in retail

Geo-Financial Analytics optimizes a store network by identifying cannibalization effects and potential growth regions with external data.​

A large retail supermarket chain operating across Europe sought support in optimizing its store network with geo-financial analytics. By analyzing factors such as customer drivetime, footfall, proximity to competitors and relevant points of interest, as well as location ratings and customer feedback, we identified locations with overlapping catchment areas and high cannibalization risk. Through an integrated machine learning and gravity modelling approach, we simulated consolidation scenarios and quantified the financial impact. Closing underperforming stores and redirecting customers to nearby locations unlocked significant value for management. This data-driven approach enabled objective, evidence-based decisions, helping the client maximize profitability and streamline operations across the network.

Flexible data models for efficient exits

The preparation of a commercial and financial data cube 6 months ahead of the due diligence enables an efficient and successful sell-side process.​

Preparing for an exit requires investor-grade transparency across all relevant KPI and business drivers. For a recent sell-side of a large PE-owned company providing supply-chain solutions for grocery stores, we partnered with management to build integrated commercial and financial data models six months ahead of the diligence phase, enabling an efficient process. We harmonized KPI definitions and structured revenue, margin and capex data from a buyers’ perspective. Dynamic dashboards and pre-built evidence packs supported the equity story from day one. The bidders accessed a consistent, auditable dataset, which reduced the need for Q&A sessions and compressed diligence timelines. Management stayed focused on running the business while satisfying buyers information needs. The result: a well-orchestrated exit-process that increased the buyer’s confidence and realized a higher valuation.​

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Dr. Johann  Wenzl

Dr. Johann Wenzl

Partner, Deal Analytics, PwC Germany

Tel.: +49 1516 4676062

Dr. Timo Willershausen

Dr. Timo Willershausen

Partner, Deal Analytics, PwC Germany

Tel.: +49 1512 6509161

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