Global Economics Group’s data analytics team applies economic, finance and data science expertise to data-driven decision making. We help clients make sense of their data in a collaborative setting.
Our team consists of a multi-disciplinary staff, including data scientists, mathematicians and economists who can blend, analyze and share data so that our clients can take purposeful action on legal and business issues.
Global Economics Group uses statistical and econometric techniques in virtually all of our litigation practice areas, from securities to antitrust. We apply similar techniques to solve difficult business problems outside of the litigation space.
Global Economics Group employs several data analytic techniques, including but not limited to:
- Machine Learning and Data Mining
- Predictive Modeling
- Regression and Econometric Analysis
- Statistical Sampling
- Geospatial Analysis
We provide custom data analytics solutions that are tailored to meet our client’s specific needs. We are skilled at working with complex, disparate data sources and marrying our client’s own enterprise data with publicly available sources. Our prior work spans various industries, subject matters and purposes – from a financial analysis of cryptocurrencies, to a monetary valuation of city parks and other park district assets, to the application of machine learning to build credit risk models.