Focus Areas for Data Governance: Architecture, Integration

Focus Areas

This type of program typically comes into existence in conjunction with a major system acquisition, development effort, or update that requires new levels of cross-functional decision-making and accountabilities.

Focus on Architecture

What other types of groups and initiatives might want such a program focus? Enterprise initiatives such as

  • A move to Service Oriented Architecture (SOA), with its need for well-governed data
  • A new focus on Metadata
  • A Master Data Management (MDM) initiative
  • Enterprise Data Management (EDM)
  • Business Process Reengineering (BPR)
  • Standardization on platforms
  • Changes to systems due to new business focus or Merger and Acquisitions activity

A charter for this type of program may hold Data Governance and Stewardship participants accountable to:

  • Ensure consistent data definitions
  • Support architectural policies and standards
  • Support Metadata Programs, SOA, Master Data Management, Enterprise Data Management (EDM)
  • Bring cross-functional attention to integration challenges
  • Identify stakeholders, establish decision rights, clarify accountabilities

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Focus Areas for Data Governance

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Dealing With Politics

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Focus Areas for Data Governance: Policy, Standards, Strategy

This type of program typically comes into existence because some group within the organization needs support from a cross-functional leadership body. For example, companies moving from silo development to enterprise systems may find their application development teams...
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Working with Data Stewards

Approaches to Assigning Data Ownership and Stewardship Organizations can take multiple approaches to assigning Data Owners and Data Stewards for enterprise data. In doing so, they need to consider several factors and answer the following questions.Question #1:  Should...
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Engaging Stewards and Stakeholders

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Governance and Issue Resolution

One of the three most important jobs of a Data Governance program is to help resolve data-related issues. These may be conflicting data definitions, data usage concerns, or problems with how data is sourced, how it is integrated, how it is protected, or a myriad of...
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