CollaborationBusiness and IT should work together as

data governance initiatives require both to ensure that processes and procedures can

be supported by technology. Ongoing collaboration between groups ensures that

data governance initiatives will be more effective over time.

Broader Information Entity ImpactLook at how each entity being managed (customer, product, etc.) affects broader business activities and what that means for the organization. Identify gaps in performance and note potential procedures that have not been accounted for.

Other considerations include the following.

Data Quality Your organization requires strong data

quality. Software and business processes can be leveraged to ensure that quality levels are measured and managed over

time using automated processes and manual intervention, when needed.

Program Maintenanceand ManagementYour organization needs to define how data governance will be maintained over time. This is where technology and process converge to ensure that procedures apply to ongoing program support.

Define Your Key Data Challenges

In all projects, it becomes important to start small and look at where your

data challenges exist. This requires identifying gaps in performance, negative customer experiences, supply chain inefficiencies, etc.

Identify Subject Matter ExpertsData governance requires business experts who understand key data entities and the tasks that link business processes with technology. For example, customers, projects, supply chains, etc.

Develop Business Rules for DataData entities have rules associated with them. These may include the flow of customer information and how to ensure information quality and reliability.

Select/Implement a Solution to Support Numbers 1 through 5 Many solutions exist that support governance practices. Organizations need to select a solution that supports their overall goals based on their business needs, current infrastructure, and overall goals.

Assign Data Stewardship Roles

For data governance to succeed, stewards need to take responsibility

for practices put in place. These stewards ensure that data

governance practices are adhered to and maintained over time.

Define Practices and Policies to Deal with

Business Rule Deviations This requires a collaborative

approach and holistic view of the organization to identify how

business processes work and how to handle exceptions.

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DATA GOVERNANCE BEST PRACTICESGOING FROM

CONCEPTION TO REALITYHow to Start a Data Governance Initiative to Ensure Developing

Successful Frameworks by Leveraging Best Practices