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Leveraging Structured Data as a Competitive Advantage Leads to Class Decertification

Leveraging Structured Data as a Competitive Advantage Leads to Class Decertification

Facts at a Glance

  • California wage and hour class action involving over 11,000 truck drivers
  • Collection and analysis of over 13 TB of data and 75 billion records from 9 different systems
  • Successful class decertification ruling six weeks before trial, saving company millions

CHALLENGE

Assist a client with a class action regarding unfair compensation practices.

Our client, a national long-hauling trucking company, was facing a major California wage and hour class action brought forth by its drivers alleging unfair compensation practices including lack of meal and rest breaks.

iDS was tasked with:

  • Providing consulting services to assess the validity of plaintiffs’ unfair wage and hour allegations
  • Drafting an expert report and relation declarations in support of our findings and conclusions
  • Delivering numerous rounds of data productions based on court and plaintiff requests

Solution

iDS was engaged to retrieve data to back up claims of non-work activity.

iDS was chosen based on our relationship with the client and our deep experience in assisting other clients with similar issues. A project plan was drawn up to include:

  • Understanding plaintiffs’ claims and identifying the relevant data sources, including onboard computers, payroll records, driver logs, and compensation plans
  • Collecting over 13 TB of data spanning 6,800 tables and 75 billion records from 9 different systems
  • Ingesting this data into the xIOT® platform, allowing our team to efficiently analyze, enrich, and visualize fact patterns across disparate data sources

Result

iDS demonstrated variations in compensation plans, leading to a class decertification ruling.

Our data driven analysis successfully demonstrated wide variations in class members compensation plans, ultimately leading to a class decertification ruling just six weeks before trial. In addition, we delivered 12 rounds of data productions, ultimately comprising over 900 million records across 1,500 files.

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