Data Governance Template - Data Ideology

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Tackle your data governance challenges by fostering alignment and cohesion.

Create your tailored Data Governance Template based on your specific needs and requirements. By simply selecting a few key inputs about your organization, such as industry sector, company size, data sensitivity, compliance requirements, primary data sources, and data management maturity level, our tool will craft a detailed and customized template.

This ensures that your data governance policies and procedures are perfectly aligned with your organizational context, regulatory landscape, and data management goals. Start creating your custom Data Governance Template now and take a significant step towards secure, compliant, and effective data management.

Data Governance Strategy Development

Tailored data governance strategies that align with your business goals and industry standards. Creating comprehensive data policies and standards to guide your organization.

Data Security and Compliance

Identifying and mitigating risks related to data security and privacy. Ensuring your data practices comply with GDPR, HIPAA, and other relevant regulations.

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              Information Governance Framework

              Phase I

              Value Creation
              People
              Organization, Roles and Responsibilities
              • Guiding Principles
              • Executive Sponsorship
              • Organizational Planning
              • Evangelism and Adoption
              Process
              Policies, Procedures and Standards
              • Data Governance Charter
              • Rules of Order
              • Issue Documentation
              • Issue Resolution
              • Communication Plan
              Technology
              Systems, Architecture and Tools
              • Enterprise Standards
              • Preferences and Guidelines
              • Concept of Practical Use
              Integrate: Data Management
              Secure: Information Security and Privacy
              Optimize: Information Lifecycle Management
              Utilize: Reporting and Analytics
              Data Quality Management
              Master Data Management
              Metadata Management
              Business Glossary
              Security and Privacy Blueprint
              Database Activity Monitoring
              Sensitive Data Management
              Application Fraud Monitoring
              Content Collection and Archiving
              Advanced Classification
              Records Management
              Test Data Management
              eDiscovery Search and Analytics
              Governance Metrics
              Governance Reporting

              Systems:

              • IBM Initiate
              • IBM InfoSphere QualityStage
              • IBM InfoSphere MDM
              • Microsoft Excel
              • Microsoft Sharepoint
              • IBM InfoSphere Guardium
              • IBM InfoSphere Optim
              • IBM InfoSphere eDiscovery
              • IBM Cognos

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              Eight Guiding Principles of Information Governance

              Every organization approaches Information Governance differently. In fact, standard frameworks are often customized to the unique needs, desires, and culture of a firm. However, most adhere to a series of guiding principles upon which Information Governance decisions around policies, procedures, and standards are based and evolve over time. The following series of principles have been adapted from The Data Governance Institute.

              Principle #1 - Integrity
              Information Governance participants will practice integrity with their dealings with each other; they will be truthful and forthcoming when discussing drivers, constraints, options, and impacts for data-related decisions.

              Principle #2 - Transparency
              Information Governance and Stewardship processes will exhibit transparency. It should be clear to all participants and auditors how and when data-related decisions and controls were introduced into business processes.

              Principle #3 - Auditability
              Any data-related decisions, processes, and controls subject to governance will be auditable. They will be accompanied by documentation to support compliance-based and operational auditing requirements, as applicable.

              Principle #4 - Accountability
              Information Governance will define accountabilities for cross-functional data-related decisions, processes, and controls.

              Principle #5 - Stewardship
              Information Governance will define accountabilities for stewardship activities that are the responsibilities of individual contributors, as well as accountabilities for groups of Data Stewards.

              Principle #6 - Checks-and-Balances
              Information Governance will define accountabilities in a manner that introduces checks-and-balances between business and technology teams as well as between those who create/collect information, those who manage it, those who use it, and those who introduce standards and compliance requirements.

              Principle #7 - Standardization
              Information Governance will introduce and support standardization of enterprise data.

              Principle #8 - Change Management
              Information Governance will support proactive and reactive Change Management activities for reference data values and the structure/use of master data and metadata.