Data Governance - Archer IRM

Data governance is an essential process for every organization. It is the process of managing the availability, correctness, completeness, usability, integrity, and security of an organization’s data and data assets.

Data Governance

According to DAMA International, ”data governance is the exercise of authority and control (planning, monitoring, and enforcement) over data assets management.”

Data governance is really about bringing up methods and processes to standardize and corporate data based on international policies and standards that control data usage. It includes people and technologies.

The major topics covered by data governance are; Quality of Data, Data Architecture, Data Modeling and Design, Data Storage and Operations, Data Security, Meta-data, Data Warehousing and Business intelligence, Reference and Master Data, Documents and Contents and Data Integration and Interoperability.

Objectives of Data Governance

The key objectives of data governance in an organization are:

  • To improve communication within the organization and with third-party organizations.

  • To help implement compliance requirements.

  • To help organizations minimize risks.

  • To increase the value and integrity of data.

  • To help organizations save costs.

  • To facilitate administrative duties better.

There are so many objectives data governance can achieve for an organization, but these are the key, general ones that can work for any organization.

Things to consider when implementing a Data Governance strategy

There are three major components to consider if you want to implement an effective data governance strategy, and they are:

  1. Technologies: Technology plays a significant role if you want to implement an effective data governance strategy. Organizations have to employ different technologies like those that enforce business rules, data quality, and compliance software and reporting software.

  2. People: You definitely need people if you want to implement a solid data governance program. You would need to build a team amongst your organization members responsible for the data assets. These individuals will be experts in the field and will be in charge of ensuring data quality activities.

  3. Processes: Processes have to be developed for data governance to work. Some of these processes include; how data will be stored, how it will be moved, etc. Control audit management processes also have to be set for compliance reasons.

Benefits of Data Governance

The importance of data governance cannot be overstated. Some are:

  • It increases efficiency in the workplace through the use of synergies.

  • It provides high security for all data in the organization (internal and external) by continuously monitoring, assessing, updating, and reviewing privacy policies.

  • It is a great compliance solution; it provides a more accurate procedure to ensure compliance and regulation activities.

  • It increases the value and trustworthiness of an organization’s data.

  • It helps in the institution of more standard training activities and educational practices about how to manage data and data assets.

  • It provides clear and transparent communication in the organization, which is necessary for worldwide data-centric initiatives.

  • It increases business resilience and operational resiliency in the organization.

  • Its clear and transparent control processes help to optimize the financial resources aspect of data management.

  • It boosts information technology's scalability and its components at a technical, personal, and organizational level through transparent, clear rules for constantly changing procedures, data, and information.

  • It provides resolutions for all past and current data issues.

Central bodies involved in Data Governance

In an organization, more than one person is involved in data governance processes. It takes several members in different sectors of the organization like the data management professional, business executives, some customers familiar with some of the organization’s relevant data domains, and IT staff. But, there are vital members of a data governance team, and if these members lack expertise in their fields, the entire data government process fails. The key members of a data governance process team are Chief Data Officer, Data Stewards, Data Governance Manager & Team, and Data Governance Committee.

 

Every organization needs strong data governance. Not only does it guarantee the security of data and information, but it also boosts the organization’s reputation and its operations. To ensure your business thrives, you need to make sure your data governance is up to date, and Archer is the right enterprise to guarantee that. Our highly-trained data experts are ready to ensure the security of your data and assets are up to date. We also organize management and staff on data governance and how to ensure data security at all times.

For all your inquiries on data governance, contact Archer today.

FAQs

What is data governance?

Data governance is the process of managing the availability, correctness, completeness, usability, integrity, and security of an organization’s data and data assets.

 

Why is data governance needed?

Data governance is needed to ensure that data is usable, complete, available, correct, protected, and accessible at all times.