Abstract

Data management challenges are one of the primary concerns in businessrelated organizations. It may result in poor risk management decisions, data loss, data breaches, illegal access, data silos, noncompliance with legislation, an unregulated environment, a limited number of resources, and so on. Again, data security, or information security, includes the practices, policies, and principles to protect digital data and other kinds of information. Data security is based on three foundational principles — confidentiality, integrity, and availability. All operations around the globe are becoming increasingly reliant on data to operate their day-to-day operations and make educated business decisions. With so much data being created, it has become challenging to manage data throughout the enterprise, which may be dispersed over different geolocations and using tens of business line applications. It's accepted that data is the new oil for any organization. There may be very crucial data that may result in tremendous opportunities for companies, which is why it is vital to have welldefined data management plans in place in order to face the most difficult challenges that data management implies. In this chapter, emphasis is given to the most common data management challenges and pain points and to solving them in blockchain networks. It also includes the implementation of blockchain network technology in a wide range of applications, opportunities, and challenges.