Disruption / Use Cases
Enabling Transformation
Whatever the industry or market, we provide relevant in-depth and practical knowledge to companies to address a variety of business challenges. Our disruption strategies determine how challenges drive solutions that meet clients' requirements. Read how our case studies made a difference.
New Data Product
Case Study 1
Advertising Industry
Client
A global entertainment, sports, and news company with more than $5B in annual advertising revenue.
Challenge
Disrupting a decades-old paradigm of TV campaign measurement and execution based on the notion of age- and gender-based metrics.
Strategy
Integrating enriched consumer datasets with traditional TV measures and developing a series of integrated forecasting and optimization models to allow the client to operationalize advanced advertising methodologies.
Outcome
A new set of new data-driven TV advertising product driving business that grew to $240M over a period of four years.
Alternative Data Licensing
Case Study 2
Consumer Packaged Goods Industry
Client
A digital marketing company operating in the CPG retail and marketing space.
Challenge
Finding incremental revenue by identifying alternative data monetization opportunities that do not compete with the core business model.
Strategy
Enriched retailer point-of-sale data in an aggregated and anonymized format. Built technology stack to enable data-feed licensing to end-clients.
Outcome
$10M USD in incremental revenue in the first 12 months of the project, and forecasted to be $25M business in two years.
Data Science & Operational Efficiency
Case Study 3
Travel Industry
Client
A major US-based airline with one of the largest fleets worldwide.
Challenge
Finding practical and efficient means for utilizing consumer preferences flying on particular days of the week, times, and on a particular airline, brands to generate additional profit.
Strategy
Leveraged schedule data, revenue management data, and inventory availability data, along with a build-out of consumer choice models to significantly improve pricing and inventory decisions.
Outcome
Operational implementation of new models increased revenue by more than $120M per year.