issues
Data governance
Discover our answers to the challenges of information management.
Today, mastering data governance is a crucial issue for organizations handling large quantities of data, especially sensitive data. They are a precious asset that organizations need to know how to maximize their value and exploit wisely.
Quality & Efficiency
First and foremost, it aims to ensure data quality by establishing standards and processes to guarantee data accuracy, consistency and reliability. It also aims to prevent data corruption and ensure data integrity throughout the document lifecycle, from collection to archiving.
One of the objectives of data governance is to achieve operational efficiency in the way organizations function. The aim is to ensure that data is accessible, understandable and usable for informed decision-making.
Risk management
Data governance involves managing the risks associated with security, the loss of sensitive information and the consequences this could have on the organization’s operations. Data must be protected against unauthorized access, information leakage and other potential threats from cyber attacks.
Finally, data management must comply with legal and regulatory requirements on data protection and confidentiality.
Similarly, the organization’s social responsibility is committed to minimizing the impact of digital data management on the environment. It must establish interactions with its ecosystem that meet this commitment, and in particular choose data management solution providers who are themselves committed to a responsible CSR approach.
Digitech supports you
DIGITECH meets all the above-mentioned data governance challenges, offering a full range of solutions for data qualification (EDM ) and exploitation (Data Capture, Master Data Management, Data Analytics, Business Intelligence, etc.).