Data Monetization: Driving Quantifiable Financial Benefits from Enterprise Data Management

Data Monetization: Driving Quantifiable Financial Benefits from Enterprise Data Management by Sunil Soares, published by Information Asset on September 6, 2020, is a comprehensive guide that explores the intersection of enterprise data management and financial strategy. This 130-page book presents a structured approach to leveraging data for increasing revenues, reducing costs, and managing risk, emphasizing the importance of gaining senior management buy-in for successful data initiatives.
Readers will find a detailed roadmap for implementing data monetization strategies, covering essential topics such as stakeholder identification, use case development, and execution of monetization initiatives. The book also addresses legal considerations, including regulatory compliance and sensitive data management, while providing industry-specific examples in sectors like financial services and life sciences. This edition serves as a practical resource for professionals seeking to understand and apply data monetization principles within their organizations.
Official synopsis Publisher
Data monetization is a cross-functional discipline that draws from best practices in enterprise data management (EDM), technology, legal engineering, and finance to leverage data to increase revenues, reduce costs, and manage risk. EDM programs have generally found it extremely difficult to get senior management buy-in in the absence of regulatory pressures or the fear of a data breach. Data monetization is an approach to drive quantifiable business benefits from data and information. This bottom-line-driven approach is key to generating business adoption with stakeholders. This book provides a step-by-step guide to data monetization and covers the following topics: 1. Introduction to data monetization 2. Identify stakeholders 3. Build inventory of use cases 4. Develop business cases to monetize data 5. Execute data monetization initiatives 6. Realize business benefits 7. Legal engineering to combine data, law, and technology to achieve regulatory compliance 8. Sensitive data management 9. Data monetization for consumer protection law 10. Industry-specific use cases in financial services and life sciences 11. Data marketplace
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