case studies

Many companies do not have access to the advanced machine learning that provides the maximum value from the data analytics and big data technologies. Meanwhile, data scientists and data enthusiasts crave real-world data to tackle real-world problems. Our case studies provide high level and yet rich insights into the challenges DEXTRA hosted and their outcomes. Brief introduction of the challenge and the comprehensive statistics / informations are documented, such as the objectives / problem the challenge is trying to solve, business values of the challenge, number of participants and submissions, and the winning algorithms.

Rakuten-Viki Global TV Challenge

Rakuten-Viki Global TV Challenge

Data Challenge to build a model for recommending TV drama episodes to individual users based on past viewing behaviour, user demographics, and video attribute data.

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Unilever Overall Score Prediction Challenge

Unilever Overall Score Prediction Challenge

Data innovation challenge to identify a model that can predict consumer preferences (Overall Opinion Score), based on ingredients data and consumer survey results.

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Great Eastern Insurance Innovation Challenge

Great Eastern Insurance Innovation Challenge

Data innovation challenge to provide new, innovative ideas on how the insurance business can provide better services to consumers and grow revenue.

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Prudential Healthcare Challenge

Prudential Healthcare Challenge

A Data Innovation Challenge to predict the future hospital bills based on comprehensive historical data of hospital bills and consumer profiles.

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DSM Sales Forecast of Electronics Segment

DSM Sales Forecast of Electronics Segment

Develop an algorithm for accurate projection of DSM’s APAC sales volume in Electronics segment based on past 2-3 years sales volume.

PDFView the case study

RECENT POSTS

  • Rakuten-Viki Final Presentation Event

    The Rakuten-Viki Global TV Recommender Challenge has finally come to a successful closure on the 16 September 2015. Six Teams (Team Merlion, Team GM, Team Haipt, Team Pritish,Team Gbenedek & Team Lenguyenthedat) were invited to present publicly in front of a pool of audiences and the judges.

  • Rakuten Viki Challenge Results

    Finalist teams are announced! We would like you to join us for the final presentation event where shortlisted teams will present their algorithms and insights to you.

RECENT TWEETS

  • We’re excited to launch the UK Health & Wellness Challenge for Data City | Data Nation and invite the DEXTRA... https://t.co/oqjDygoc67
    over a year ago
  • We’re excited to launch the UK Health & Wellness Challenge for Data City | Data Nation and invite the DEXTRA... https://t.co/MVe53hyWSg
    over a year ago

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