Description
Chapter 1: Introduction to Datafication This chapter Provides introduction of datafication and data opportunity and data problems and also provide insight into digitization vs datafication and also provide story of past to preset of datafication Chapter 2: Elements of Datafication This chapter provides the list of elements of datafication such as process value generation, monetization etc. Chapter 3: Principles, Patterns and Theories of Datafication Provides the list of available patterns and principles to adopt to design a datafication Chapter 4: Datafication Algorithms This chapter provides the details of algorithms that are required for datafication Chapter 5: Datafication Pipeline This chapter provides the details of how you capture the data from source and process it and ready for use with quality and rules Chapter 6: Data Sharing This chapter provides the details of how and what are the methods are available for data sharing Chapter 7: Behavioral and Sentimental Analytics This chapter provides the details and code analysis for behavioral and sentimental analytics Chapter 8: Security in Datafication This chapter provides the details of security requirements and implementation details of datafication Chapter 9: Data Governance Without a proper governance, the datafication implementation is waste of time, so, this chapter provides details of the governance strategy and implementation datafication governance Chapter 10: Datafication Use Case and Implementation This chapter provides the detail implementation of datafication with the use cases from insurance or banking industry etc.
