Data Governance as an effective data management

Vast amounts of data, which can come from various sources, require an appropriate collection, processing, analysis, protection, and monitoring approach. The list of good practices is Data Governance, currently one of the critical aspects of BI (Business Intelligence). What is adequate data quality, compliance, and risk management in an organization?

What is Data Governance?

All companies store data, the amount of which is constantly growing. It’s often sensitive or business-critical information. The goal of Data Governance is to exercise continuous control over this valuable data in terms of its quality, value in business operations, and storage security. The DG’s tasks also include improving cooperation between individual teams in a given organization.

Data Governance includes:

• Establishing the rules for using and accessing data.
• Defining roles in the entire data management process.
• Maintaining an appropriate level of quality of this data throughout its life cycle.

Data management – why is it worth it?

Effective data management has many benefits. First, it provides a consistent view of data (up-to-date and secure) for all teams in the organization. Often scattered, incomplete, or out of date, data has little business value. Effective management allows you to increase the usefulness of the information and streamline its flow in the organization. Thus, Data Governance also improves the quality of the analyzed data, which translates into the accuracy of business decisions made.

A significant advantage is data security, thanks to verifying their distribution rules within the company. Thus, we can reduce the risk of misuse of information. Ultimately, data management allows organizations to maximize profits by increasing the business potential of the collected and processed information. The importance of Data Governance is growing, especially in the context of the numerous data privacy laws governing organizations.

Data management system

Although the structure of a Data Governance system will differ between organizations, a properly designed data management system usually consists of several levels. First of all, it is necessary to assign roles to individual users of this system.

Data users should be indicated, i.e., people who enter and use data. It would help if you also had data owners who would be responsible for it. Data managers are a group whose task is to develop an approach for the entire process. Above them is a team overseeing the strategy and approving new data management principles.

Data management platform

Data management consists of people and processes that together form the data processing system in an organization. Companies interested in the issue of Data Governance have modern data management platforms at their disposal. These are systems for collecting and analyzing large volumes of data in enterprises. Commercial solutions include various tools, more and more often cloud-based. Their advantage is unlimited capacity and vast possibilities of data processing.

Principles of effective data management in the company

When implementing a data management system in a company, it is worth following good practices. Before implementing the Data Governance program, it’s necessary to define the rules for which authorized persons may use the data.

Organizations should also spend time training employees – familiarizing data users with their use and protection principles. Audit procedures must also be prepared as part of the data management system to ensure that the data is consistent with the previously developed data policy. Documents specifying the methods of data protection and storage will also be helpful.

Data Governance redefines how data is perceived and can be used and protected. Effective data management becomes necessary in organizations that handle enormous amounts of data from various sources.