What Is Information Security Governance?

Data analysis plays a central role in companies today, for example, when optimizing processes, personalized customer contact, or developing new digital services and business models. The basis for this is data security governance. Here is more about it.

What does data governance mean?

Due to the increasing amount of digital data, data security plays an increasingly important role in companies. According to forecasts, the global big data market is expected to reach $ 103 billion by 2027. But with the growth of business data, the risk of data theft or loss is also increasing. Therefore, there is more than ever the need to protect data security within companies and organizations.

The most valuable asset in the company is the data driven by the digital processes. Secure data processing is becoming increasingly important in companies. The amount of the stored data increases steadily. With progressive automation and digitization, this data is exchanged with many systems and participants. For this reason, orderly handling of data in the company is essential to maintain your quality and integrity or to carry out upcoming transformations – whether professionally or technically – efficiently. A correct and individually coordinated data governance makes it easier for companies to deal with the growing flood of data. It leads to more efficiency and transparency.

Why do companies need data governance?

Although most companies have digitally or physically stored data, most data are available in a non-standardized form. In addition, companies cannot always be sure that data is reliable due to the age, source, etc. Employees or company managers often hesitate to rely on this data when making decisions because they are concerned about the data quality. Data governance is a process that gives a company data reliability. He also ensures that high-quality information is available throughout the company. The process enables each department to make decisions based on this data. Data governance also drives a company’s digital transformation.

Data governance is a load-bearing pillar in a comprehensive data management strategy, with core issues such as data availability, quality, integrity, and data protection. Companies believe in the value of data governance but face significant challenges in implementing practical, effective programs. Successful data governance efforts begin with the basics – efficient cataloging and protecting sensitive company data.

Basic concepts of the data security governance

The data government strategy is the vision behind data governance. It determines the company-wide approach for the organization and, in particular, the protection of data. A data governance plan documents the rules and processes for the entire company. It organizes the conception of projects dealing with data and defines standards for their processing. The following goals are in the foreground:

  • Ensuring data protection and security. The data governance strategy defines the level of data protection and data security. From this, the necessary measures for the respective processes or data can be derived;
  • Taking into account interests. Data governance determines how decisions about the processing of data are concluded and which groups of people should be involved. It prevents interests from being left out;
  • Transparency. Through uniform and consistent documentation, the data flows in the company – from the absorption of data to deletion, are visible. In addition, affected persons and especially responsibilities are recognizable.

So, solid data governance enforces company guidelines to ensure that the data is trustworthy and are not abused. It is becoming more important because companies are confronted with new data protection regulations and increasingly rely on data analyses to optimize their processes and business decisions.