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Large-Scale Data

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Data are factual information, frequently organized for analysis or used to reason and make decisions. In this millennium it has been estimated that over 90% of information is stored electronically and over two-thirds of that information never makes its way to paper. It has been further estimated that there are almost 300 million emails sent on average every day, of which almost 125 million are for business (source: Statista). Moreover, Federal Rules of Civil Procedure 26 and 34, effective as of December 1, 2006, use the term “electronically stored information” to identify information that, along with “documents” and “tangible things,” is subject to discovery rights and obligations.

In this context, and given Hemming Morse’s work analyzing and investigating information for use in the courtroom and the boardroom, it is not surprising that datasets are a key part of our projects, day-in and day-out. At times this involves working with clients to extract data from systems maintained to track business operations, such as an Enterprise Risk Planning (ERP) system. Sometimes the data are maintained in simple accounting programs like Quickbooks, and sometimes in customized tools like those built in Tableau. At times we create usable datasets from transactional and other information, such as bank records and invoices.

But regardless of the source, Hemming Morse assists by structuring, receiving, integrating, analyzing, and interpreting datasets. The platform that makes the most sense depends on the nature of the analysis required. Sometimes the datasets are large and require sophisticated and powerful programs such as SQL. Sometimes they are small, but require complex statistical analysis available on programs like SAS and Stata.

However, ultimately Hemming Morse’s experts’ and teams’ experience analyzing and interpreting large-scale data to understand correlations and what is indicative of causation, for effective presentation based on distillation of key insights.

Regression analysis to investigate relationship between compliance with labor laws and flight delays and cancellations

Multiple airlines, represented by an industry trade group, sued a state government over the implementation of a law passed by a ballot measure, providing paid sick time to employees that met certain criteria. The airlines complained that compliance with the law would lead to widespread flight delays and cancellations, as could be seen with analysis of data regarding an airline’s compliance with a similar law in another state and the airline’s flight attendants. The Hemming Morse team analyzed a regression analysis prepared by one of the parties to instruct the question of whether that compliance led to flight delays and cancellations. The Hemming Morse expert was deposed and issued a declaration for the court’s consideration in making its ruling on summary judgment.

Hedonic regression to estimate the effect on prices of coconut water of product claims on packaging

In a consumer class action, the plaintiffs alleged that the seller of coconut water used packaging that contained a false claim about the coconuts used to make the product and whether they were from Brazil. Hemming Morse performed a hedonic regression analysis to estimate the price premium associated with the alleged false claim on the packaging. The regression analysis evaluated panel data for dozens of variables on several brands’ coconut water, across multiple years, to estimate the price premium.

David Breshears

Partner

Susan Thompson

Partner

Christian Tregillis

Partner

Judy Yip

Principal

Sacha Zadmehran

Principal

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  • Construction Dispute
  • Economic Damages
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  • Forensic Accounting – Investigations of Improprieties
  • Intellectual Property Damages
  • Labor Disputes
  • Royalty and License Compliance Examinations
  • White Collar Crime Investigations
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