• Start Time:
  • End Time:
  • Day:
    Day 1


  • Problem: 80% prep time for data analytics
  • Root cause: Quality, sourcing, relevance of data
  • Path forward: Bring DG to good data definitions, provide info architecture and drive modelling
  • Use case:  Framework to make data shoppable

Associated Speakers:

Norman Stürtz

Divisional CDO, Credit Suisse (Schweiz) AG

Credit Suisse

Associated Talks:

10:00AM - Day 1

View Bringing Offense and Defense together – Shoppable Data For Data Based Services in Analytics & ML

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