Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems.
Data governance covers all the rules and processes that ensure the organizational data’s structure, protection, and management.
Data is more effective with proper data governance. Data management is indispensable for analytics, enabling your company to make better, more informed decisions.
Additionally, good data governance ensures that the data you and your teams use is correct, consistent, and accessible to the right people in the company.
Data governance enables organizations to:
Without effective data governance, companies run the risk of data consistency issues, which in turn results in unreliable enterprise and business intelligence reporting.
If you are concerned about any of the following issues, then implementing a data governance strategy can help your business:
The first step to establishing data governance is knowing where the company’s data is stored and identifying it.
Next, you can look at its lifecycle within the enterprise: What is the use of the data? How is it transformed? By whom?
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A data catalog is essential to get an overview of all data. Since it brings together all the company’s data, you can map it more efficiently and establish a common overview.
The implementation of a data governance plan varies depending on a project’s criticality and the company’s size.
In all cases, it is essential to determine the roles and responsibilities of each person in relation to the data.
Start by appointing Data Owners: Those who manage the data in their respective business area. It may also be helpful to appoint one or more Data Governance Managers to orchestrate all actions.
Once you have all the tools necessary to manage data, it is important to encourage other business teams to utilize data in their decision-making.
It can often be challenging to promote an overarching data culture and a data-driven approach among your teams. To achieve this, it is useful to:
When building your governance strategy, it's important to involve all teams as early as possible: To identify data-related issues, ask the various business units.
You can then involve them and convince them to participate in the data governance project.
When implementing your data governance strategy, you are likely to encounter some resistance along the way, as data governance can restrict how data is handled within the organization.
A vital step to ensuring your governance project's success is establishing clear and comprehensive guidelines. These rules can be outlined by a data governance committee established within your organization.
All teams in the company must have the tools to use data effectively. When it comes to data, consistency is vital. Consider carrying out a workshop or training session so that everyone can be on the same page about your data governance objectives.
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Consistent communication throughout all stages of the project is key. Ensure that all project roles and ownership are clearly defined.
Choosing the right data catalog is perhaps one of the most important factors for your project. Data catalogs are a golden tool for your governance project, as they gather all of your organization's data in one place, making it accessible to everyone.
Good data governance will protect your company from serious data issues, by ensuring all data in your enterprise is tracked, cataloged, and protected.
Without such a plan, it will be more difficult for your business to manage the volume and quality of information that is currently being generated.
In the end, your governance project is more than just ensuring data is reliable: it’s about ensuring that your company has access to all the information it needs to make informed decisions effectively.
