Course curriculum

  • 1

    Introduction

  • 2

    Direct and Indirect ways to create value with data

    • Quantifying data? What does that mean

    • Direct Monetization

    • Indirect Monetization

    • Activity: Monetization Methods
  • 3

    What can and cannot be done with data? GDPR – Part 1

    • Who owns the data in your organization?
  • 4

    What can and cannot be done with data? GDPR – Part 2

    • Review of using data & what is ethical
  • 5

    Data Valuation Matrix: where are you on the data value journey

  • 6

    Data Valuation Case Studies

    • Data Indifference

    • Data Pragmatism

    • Data Opportunist

    • Data Assetization
  • 7

    Which types of data do we have? Data Analytics: ML Quick Wins

    • Types of data
  • 8

    External Data Deep Dive: Trending Data

    • What types of ‘external data’ exist?
  • 9

    Case Study Deep Dive: Driving Value in Financial Service

    • 18 Month study of ‘using data’ as a product
  • 10

    How to get started?

    • Data opportunities