Data Governance Template - Data Ideology

Build Your Custom Data Governance Template

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 Quality Management

Evaluate your data's accuracy, completeness, and reliability and Implement processes for ongoing data quality improvement.

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.

Data Architecture and Integration

Assessing and optimizing your data architecture for better governance. Streamlining data from various sources for a unified view.

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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.