- Offers a solutions-focused approach to maximizing data value in organizations, situated in business needs and with guidance on navigating common minefields
- Presents original tried-and-tested frameworks that can be tailored and applied to different contexts and organizations
- Includes cutting-edge examples and cases relating to digital transformation, data strategy, building a data P&L and AI-driven value predictor methodology, featuring organizations such as airline company TAP Air Portugal, insurance company AXA and real estate company Jones Lang LaSalle
- Explores different value data propositions for businesses, such as digital transformation, increased monetization, diversity and inclusion, and corporate social responsibility goals
- Explores conundrums such as the questions of data for commerce versus data for compassion and data profits versus data privacy, and how businesses can navigate these to reach optimal outcomes