Data-Driven Economic Analysis

In an environment shaped by political change, regulatory scrutiny, economic uncertainty and rising public expectations, organisations are under more pressure than ever to justify their decisions with robust and evidence-based analysis.

Whether facing complex litigation, navigating shifts in policy or making high-stakes commercial choices, it’s essential to show not just what happened, but why and what can be done in future. At the same time, growing data availability and increasingly sophisticated analytical tools have raised the bar for what counts as credible evidence. In this landscape, clear, rigorous economic and statistical insight is essential for resolving disputes, guiding strategy and demonstrating accountability.

Drawing on decades of combined experience in economics, statistics, econometrics and computer science, our experts specialise in applying advanced analytical techniques to large datasets to answer critical cause-and-effect questions in both dispute resolution and advisory contexts. We assist clients by assessing the merits of claims, testing theories of causation and liability, quantifying damages and providing economic and statistical analysis across various industries. Some examples include:

Disputes

  • Separating the impact of alleged fraud from other factors affecting profits.
  • Measuring how alleged defects increased product failures and returns.
  • Designing and evaluating statistical samples for insurance and construction disputes.
  • Assessing reliability of machine-learning methods for detecting market manipulation.
  • Assessing causation and damages in securities litigation.

Advisory

  • Analysing how e-cigarette regulations influence tobacco smoking rates.
  • Modelling how tax changes affect retailer profitability and government revenue.
  • Evaluating the economic effects of intellectual property law reforms.
  • Developing machine-learning tools to measure social-media brand sentiment.
  • Forecasting European electric vehicle adoption under varied technology, policy and consumer scenarios.

How We Can Help

We provide expert advice and evidence at every stage of the data analysis process:

  • Defining the question and approach: Clarifying the commercial or legal issue, framing the question precisely and mapping the analytical pathway so the investigation is focused, proportionate and answerable.
  • Identifying data requirements: Understanding the scope of the issue, selecting suitable analytical methods and pinpointing the specific data needed.
  • Acquiring and compiling detailed datasets: Sourcing and assembling the required information, combining publicly available data with proprietary or confidential datasets as needed.
  • Designing and analysing statistical samples: Determining when a sampling approach is appropriate and building a practical, statistically robust sample to collect the data.
  • Making sense of the data: Exploring datasets to understand their structure, content and meaning.
  • Cleansing and preparing data for analysis: Detecting and correcting errors or anomalies, resolving inconsistencies and ensuring accuracy and readiness for analysis.
  • Designing and performing targeted analyses: Applying the appropriate economics, econometrics, statistics and data-science techniques.
  • Using the results to answer the question: Translating findings into clear, actionable conclusions, with any limitations openly discussed.
  • Communicating the results: Presenting insights in clear, compelling terms to lawyers, businesses, courts, tribunals and policy makers.

Related Insights

Related Information

Published

July 29, 2025

temp Key Contacts

Dr. Meloria Meschi

Senior Managing Director

Ravi Kanabar

Managing Director

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