Data is a most valued asset for an enterprise of any size. Therefore, it is essential to manage and govern it correctly. Data governance initiative is a blend of –
- Standards, procedures, and policies
- Organization and people
- Tools & technology
These are all positioned to manage data across its entire lifecycle. It also offers high availability, quality, usability, and integrity of the data. Data governance is not a single time work but is a consistent effort of improvement driven by a collaboration of every department in your organization. Businesses can take help from experienced data governance consultant from Ewsolutions. You can even gain training from their website data management education.
Implementation tips for successful data governance
Clear scope and objectives
The scope and objective define in the data governance program have to align with your business priorities and goals. Data governance carries a different meaning for every business, so define what it means to your company and how it can help in achieving the goals. The scope and objectives have to be regularly evaluated. It verifies that they are still applicable to your company.
The data governance standards and policies are implemented by people and organizations guarantee it. Programs have failed due to a lack of knowledge and poor management. For data governance program success there has to be proper data literacy and change management program attached. It helps –
- People must clearly know what the importance of data is and how ignoring it can affect their job.
- Every stakeholder has to be aware of their responsibilities during the data lifecycle.
- Every employee has to be aware of the data lifecycle and its transformation across the business process they are working on.
Communicate same data language
People and organizations have to be connected with common data objectives. They need to speak the same data language. This is possible with having a single metadata management program across the organization. All the stakeholders create and share meanings, understanding, and knowledge of data. This will allow different processes, applications, and departments to leverage the integrated data asset.
Better data quality
The data governance program needs to have a framework that includes monitoring and remediating regular data quality checks. Every stakeholder must have access to updated and trustworthy data. Transparency of data quality is crucial for every stakeholder to make decisions.
Measure & maintain
The data governance process is a persistent effort of improvement and refinement. For maintaining this, the business has to –
- Define the KPI’s and program objectives right from the start.
- Regularly evaluate data quality, integrity, compliance, and security.
- Regularly track the program concerning baseline objectives.
- Whenever necessary make adjustments.
Data governance is not just about people and organization but also incorporates policies and technology up to a certain extent. Majorly it is all about people. It defines the right way to communicate and share knowledge of the company’s data. It is a complicated process but is the only route to unlock the real power of data. Data is a gold mine for online businesses in this digital era.