DEFINE GOVERNANCE WORKFLOW

Assign owners for the data assets. Provide appropriate tools for the data asset owners to maintain high level of integrity and quality. Define workflows to facilitate effective coordination and accountability.

MANAGE META & MASTER DATA

Establish processes, infrastructure, and resources for Metadata management. Derive the benefits of maintaining business glossary, data dictionary, and capabilities to perform data lineage and quick impact analysis. Focus on effective ways of managing master data.

CREATE GOVERNANCE FRAMEWORK

Define roles, responsibilities, processes, and policies that are necessary and fundamental for an effective and efficient data governance. Identify Data Governor, Data Stewards, Business users, and Technology leads.

ESTABLISH SECURITY FRAMEWORK

Recognize the emerging threats to data security. Incorporate the security requirements for current and evolving environments.

IDENTIFY TOP DATA ASSETS

Start small and make steady incremental progress. Identify top two or three data assets that are high in business priority. Focus on improving data governance of these assets to yield the most immediate benefit to the organization.

IMPROVE DATA QUALITY

Take a step-by-step approach to enhance the data quality. Profile to separate good from the bad data, standardize, enrich with complimentary data, & monitor the quality on an ongoing basis.

Data Governance

KEY ELEMENTS OF OUR APPROACH

Data Governance

CONDUCT PROCESS EVALUATION SURVEY

Establish periodic survey to evaluate the effectiveness of data governance. Identify the areas of improvement to make necessary adjustments to the processes, policies, and roles.

ENSURE DATA ACCESSIBILITY

Data assets need to be readily available. There could be a variety of internal and external data sources but they all should be accessible for the purpose of governance.