Case Study: PwC achieves faster, deeper, and more accurate audits with Lavastorm Analytics

A Lavastorm Analytics Case Study

Preview of the PWC Case Study

PwC uses Lavastorm to dig deeper, broader, and smarter

PwC Russia’s Risk Assurance team, part of the global PwC network, audits hundreds of large, IT-driven clients across banking, retail, telecom and logistics. Faced with exponentially growing transaction volumes and complex, multi‑system data that outstripped traditional tools and sample-based audits, they needed a way to audit entire datasets quickly and reliably while maintaining audit quality and regulatory standards.

PwC adopted Lavastorm’s discovery‑based audit analytics to aggregate and analyze large, varied datasets without rigid schemas, using a visual, self‑service interface and reusable audit modules. The solution automated complex tests and reconciliations, reproduced reports and calculations, and surfaced fraud indicators — delivering up to 90% faster results, roughly 40% greater accuracy in some cases, broader audit coverage, reduced fieldwork time and cost, and improved audit reliability and quality.


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PWC

Sergey Kudryashov

Risk Assurance Director, PwC Russia’s Audit Team


Lavastorm Analytics

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