What is Enterprise Data Governance?
Data governance is the process of managing data to ensure that it is accurate, consistent, accessible, and secure. Data governance includes the policies, processes, and people responsible for managing data. Data governance aims to ensure that data is managed in a way that meets the organization’s needs and complies with internal and external security requirements.
Why is Data Governance for Business Important?
In the past, data was managed by individual departments or groups. This led to inconsistency and errors in the data. Data governance provides a framework for managing data that is accurate, consistent, accessible, and secure.
With proper data governance solutions, business processes can be carried out consistently. It ensures quality data flow without hindrance, opening the way for smooth internal operations and improved innovation.
Data Security and Compliance
The right information governance tools ensure that the data handled by the business is safe and secure. Be at rest or in transit, with data governance in place, businesses can be sure that their clients’ or customers’ information is not being mishandled.
Businesses are legally required to protect the data they collect and process. Various compliance regulations are enforced to protect consumers’ data. Some of these compliance regulations include GDPR, HIPAA, and PCI DSS.
With the help of data governance tools, businesses can ensure that they comply with these regulations, thus protecting sensitive client data from misuse or cyberattacks, as well as protecting the business from legal penalties and reputational damage.
Benefits of Data Governance Tools
There are many benefits of data governance tools. Some of these benefits include:
- Improved decision-making
- High-quality data
- Enhanced data security
- Improvement in overall productivity
Data Governance Tools List
Some of the most critical data governance tools to be used for better business flow include:
- Data discovery tools: Help organizations find and understand the data that they have. These tools can identify sensitive data, understand how data is being used, and identify potential problems.
- Data classification tools: Help organizations classify their data according to its sensitivity. This can help organizations to determine who should have access to specific data and how that data should be protected.
- Data quality management tools: Ensure that the business data is accurate and complete, and can be used to identify data errors, track data changes over time, and develop processes for maintaining data quality.
- Data security tools: Protect organizational data from unauthorized access or misuse and can encrypt data, restrict access to certain users, and create dataa backups in case of loss or damage.
- Data privacy tools: Protect the privacy of their customers or employees by anonymizing data, limiting access to specific users, and destroying no longer-needed data.
- Data management platforms (DMPs): Help organizations manage data through a comprehensive software system. DMPs typically provide a central repository for storing data and a set of tools for managing, analyzing, and sharing that data.