Data Sovereignty and Enterprise Data Management

Data Sovereignty and Enterprise Data Management

Getting started with Sensitive Data Management? 

Data sovereignty laws are privacy legislation that a specific country has implemented. This book recommends data governance policies and procedures for managing data to meet these new requirements. Cloud-based storage of data creates challenges that multinational companies need to consider. Organizations need to define, integrate and effectively retrieve data for both internal applications and external communication. It includes a number of disciplines, such as data architecture, data modeling, data integration (extract, transform, load, or ETL), data security, data privacy, master data management, reference data management, data warehousing and business intelligence, information lifecycle management, content management, metadata management, data quality management, data ownership and stewardship, and critical data elements and critical data sets.

The book consists of the following sections:

  • Chapter 1: Introduction to Data Sovereignty
  • Chapter 2: Policy, Standards, Processes, and Controls
  • Chapter 3: Data Taxonomy
  • Chapter 4: Data Ownership
  • Chapter 5: Critical Data Sets and Critical Data Elements
  • Chapter 6: Data Collection and Acceptable Use Standards
  • Chapter 7: Data Security
  • Chapter 8: Data Risk Assessments
  • Chapter 9: Data Lineage
  • Chapter 10: Information Lifecycle Management, End User Computing, and Data Quality
  • Chapter 11: Model Governance
  • Chapter 12: Data Sharing Agreements
  • Chapter 13: Monitoring and Enforcement of Controls
  • Chapter 14: Data Sovereignty in the Cloud

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