Data Governance: How to Identify the Different Roles and Responsibilities

Data Governance: How to Identify the Different Roles and Responsibilities

How to Define Roles and Responsibilities to Increase Accountability

Data governance is the process of managing data to ensure that it is available when needed, accurate, and secure.

Data management involves many different roles with different responsibilities in order to meet these three goals.

These include enterprise data stewards (EDS), who are responsible for what can be done with the data; information owners (IOVs) who are responsible for what they want to do with their own personal sets of data; and IT staff members (ITSMs) who support all aspects of technology in an organization.

Some information provided by Principal Consultant Rishi Maharaj

What are the roles and responsibilities in data governance?

All organizations particularly state sector organizations use a lot of data. Every aspect of an organisation works in data, from analytics to developing goods and services.

Therefore there must be a robust data governance program that is assisted by a data governance framework which assists with all business processes.

Effective data governance is a strategic initiative as it cuts across the heart of every organisation and works hand in hand with data ownership in all business units. This is why data governance roles for every specific data domain are very important.

There is a need for digital trust in business dealings between organizations or between businesses and consumers. In order to solidify this trust a data governance council or sorts should be evident in the organizational structure.

Data Owner: is accountable for the data in a specific domain. They must ensure that information within their domain is governed across systems and lines of business. They are usually senior stakeholders within your organization who are accountable for data quality.

Data Steward: is accountable for the day to day management of data. They are subject matter experts who understand and communicate the meaning and use of information and represent the data owner in most conversations.

Data Custodian: manages the technical environment where data resides and ensures safe custody, transport and storage of data. For instance, your database managers your IT support storage your cloud service providers, all those who maintain the infrastructure.

Data governance policies can be better maintained and implemented through depended data governance councils which contain data stewards, data managers, data custodians and data owners who all work toward facilitating a high quality data governance process.

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If you want to find out more about data dictionaries, data governance, or even work on a data dictionary project, reach out and make the best of your business objectives by checking out the Three Most Powerful Analytics Techniques.

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