Value-Driven Data: Identifying, Communicating and Delivering Effective Business Solutions with Data

Value-Driven Data explains how data leaders and managers can develop data-driven opportunities and solutions for their organizations.By focusing on the value of data, Value-Driven Data explores how organizations can understand their business problems and come up with better solutions, aligning data storytelling with business needs. The book reviews the main challenges that plague most data-to-business interactions and offers actionable strategies for effective data value implementation, including methods for incentivising change.Value-Driven Data is supported by tried-and-tested frameworks that can be applied to different contexts and organizations. It features cutting-edge examples relating to digital transformation, data strategy, resolving conflicts of interests, building a data P&L and AI-driven value predictor methodology. The book recognizes different types of data value, ranging from data-based digital transformation to increased monetization, diversity and inclusion, and CSR goals. It explores conundrums such as data for commerce versus data for compassion and data profits versus data privacy. This will be essential reading for data specialists and leaders involved in capturing and executing data value opportunities for organizations and informing data-driven strategy.
Translate data into value for your business with this strategic guide to identifying, communicating and developing data solutions and opportunities.
Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations. Value-Driven Data explores how organizations can understand their problems and come up with better solutions, aligning data storytelling with business needs. The book reviews the main challenges that plague most data-to-business interactions and offers actionable strategies for effective data value implementation, including methods for tackling obstacles and incentivizing change. Value-Driven Data is supported by tried-and-tested frameworks that can be applied to different contexts and organizations. It features cutting-edge examples relating to digital transformation, data strategy, resolving conflicts of interests, building a data P&L and AI value prediction methodology. Recognizing different types of data value, this book presents tangible methodologies for identifying, capturing, communicating, measuring and deploying data-enabled opportunities. This is essential reading for data specialists, business stakeholders and leaders involved in capturing and executing data value opportunities for organizations and for informing data value strategies.