Digital Transformation: Why Efficient Data Management Becomes a Competitive Advantage

As digital transformation progresses, companies are confronted with an exponentially growing volume of data. Experts emphasize that efficient data management can become a decisive competitive advantage in this context.

For optimal database operation, both backup and archiving are necessary. While backups are essential for short-term data security, archiving serves to relieve the database and ensure legally compliant data storage.

A significant advantage of modern archiving solutions is their independence from specific database vendors. This ensures that companies can remain flexible in responding to technological changes in the future. Additionally, such systems often enable incremental archiving, which significantly reduces storage requirements and processing time.

Software solutions like CHRONOS offer companies the ability to efficiently manage their data while simultaneously optimizing the performance of their databases. CHRONOS goes far beyond conventional archiving systems. The software features intelligent data identification by recognizing inactive data based on configurable rules. It supports complex archiving processes, both for continuous archiving and for the decommissioning of entire legacy systems. CHRONOS provides versatile data management, including database archiving as well as archiving of CSV exports and documents. With the CHRONOS Archive Explorer, users can create custom reports, greatly facilitating data analysis. The software ensures data protection-compliant management through GDPR-compliant archiving and a comprehensive user management system. By offloading inactive data, CHRONOS contributes to performance optimization by making production databases leaner and more efficient. These features enable companies to not only securely archive their data but also to use and manage it efficiently. In a data-driven business world, such a solution can represent a crucial competitive advantage and lay the foundation for data-driven innovations and future-proof business models.