Data governance is a set of processes, functions, policies, standards and measurements that guarantee the effective and efficient use of information in order to help a company meet its objectives. It allows setting a series of processes and responsibilities that ensure the quality and security of the data used in a society or organization. Data governance defines who can take action, on what data, in what situations and by what methods.
A well-designed data governance strategy is essential for any organization dealing with Big Data, as it will realize of the benefits that uniform and shared processes and responsibilities bring to your business.
The value of data comes first and foremost from the support it provides for corporate process or decision-making. The types and sources of existing data are extremely varied, and their quality will affect the business in different ways depending on the purpose and reason for its use.
The price of poor data quality can be paid in lost opportunities, poor decisions and the time it takes to detect, clean and correct the most important errors.
Data governance is a set of processes, functions, policies, standards and measurements that guarantee the effective and efficient use of information in order to help a company meet its goals.
Correctly applied, it ensures that data roles are well defined and accountability and transparency are agreed upon across the enterprise. A well-planned data governance framework encompasses roles and strategic, tactical and operational responsibilities.
Accelerate your legal compliance and your platform change, migration and modification management projects with a complete view of your data flows and a one-click impact analysis .
Solutions to comply with the requirements of the legislation, such as the General Data Protection Regulation of the EU (RGPD) and sectoral regulations such as the Data Security Standards for the Payment Cards Sector (PCI DSS).