Winner of

Data interpretation / extraction

Virgin Trains

DS16 Data Interpretation_Extraction

Entered by: itg Creator

Project name: The Awesometer

Virgin Trains' strategic objective was to empower front-line staff with 'voice of the customer' sentiment data, enhancing the brand's transition to become more customer-centric. Through automation across multiple touchpoints, it collated and analysed data to create customer advocacy benchmarks and real-time scores that have shaped its business decisions and future direction.

Judges' comment: "A great example of making data accessible to a broader organisation with real customer benefit."

Shortlisted

Using Data Science to Understand Digital Activity and Product Profitability for Ralph Lauren entered by Forward3D

2016 Sport Relief Miler Sign-Up Campaign for Comic Relief entered by DataTalk

#DriveSafer for Aviva entered by Aviva

Content Darwinism for P&G entered by Proximity London