Value-Driven Data
Identifying, Communicating and Delivering Effective Business Solutions with Data
Edition number: 1
Publisher: Kogan Page
Date of Publication: 3 August 2023
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Product details:
| ISBN13: | 9781398608627 |
| ISBN10: | 1398608629 |
| Binding: | Paperback |
| No. of pages: | 256 pages |
| Size: | 232x157x14 mm |
| Weight: | 395 g |
| Language: | English |
| 634 |
Category:
Short description:
Translate data into value for your business with this strategic guide to identifying, communicating and developing data solutions and opportunities.
Long description:
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.
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.
