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A Guide to Data Governance for Privacy, Confidentiality, and Compliance

  • Published:
  • Version: 001
  • Product: Windows
  • Category: Document
  • Language: English

Data governance is an approach that public and private entities can use to organize one or more aspects of their data management efforts, including business intelligence (BI), data security and privacy, master data management (MDM), and data quality (DQ) management. This series describes the basic elements of a data governance initiative for privacy, confidentiality, and compliance.

This whitepaper series aims to answer some key questions that IT managers, security officers, privacy officers, and risk management officers are asking about how to approach the combined challenges of information security and privacy and the associated regulatory compliance obligations.In its broadest form, data governance is an approach that public and private entities can use to organize one or more aspects of their data management efforts, including business intelligence (BI), data security and privacy, master data management (MDM), and data quality (DQ) management. This series describes the basic elements of a data governance initiative for privacy, confidentiality, and compliance and provides practical guidance to help organizations get started down this path.The first paper in the series analyzes the challenges that organizations face today when trying to protect data privacy and security in on-premises systems, including an increasingly complex regulatory environment. It also looks at the concept of data governance and how it can complement ongoing efforts within the organization.The second paper looks at two of the core capability areas that an organization must develop as part of a data governance for privacy, confidentiality, and compliance (DGPC) initiative: People and Process.The third paper analyzes the last of the three core capability areas, Technology. It discusses a risk analysis process and an associated threat modeling technique that can help organizations identify threats against data security and privacy, as well as threats arising from noncompliance in specific data flows, and manage the associated risks.The fourth paper offers a capability maturity model that can help organizations identify their level of DGPC maturity in the People, Process, and Technology core capability areas, determine appropriate target maturity levels, and develop action plans to reach those targets.The fifth paper discusses how DGPC challenges change when organizations opt to use cloud-based services, and how the techniques discussed in the third paper can be applied in the new context.

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System Requirements

Operating Systems: Windows Vista, Windows XP, Windows 7

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