For later
This is a test entry. We should use the image in for something that talks about a cloud feature
Author
infoCorvus ROAD is an advanced data lifecycle management platform that allows companies to consolidate all their legacy or to be archived data in a single environment, whether deployed on-premise or in the cloud.
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Structured data management has undergone significant evolution over the past 30 years. It has transitioned from basic databases and manual processes to advanced, technology-driven systems, highlighting the increasing importance of data in decision-making. The industry advanced with the introduction of relational databases, data warehousing, and SQL, which revolutionized data storage and analysis.
The late 1990s and early 2000s saw the advent of big data, real-time processing, and the development of NoSQL databases, along with the establishment of data governance frameworks. In the last decade, automation, AI, and cloud computing have further transformed data management, making it more intelligent, scalable, and integral to business strategy. This has ensured ongoing innovation and competitiveness.
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Many growing companies have made several acquisitions and tried to integrate the acquired businesses into their existing systems. As part of their digital transformation efforts, companies have also been transitioning to new versions and applications to meet the demands of the modern world.
As a result, many old legacy applications and databases are still in use or stored in data centers. As the amount of data collected and managed in-house increases, so do operational costs, liabilities, and energy consumption.
Our platform offers a seamless solution for extracting data from these applications, transferring it to the storage of your choice, and facilitating effortless data reporting.
ROAD is a purpose-built data management platform to address this specific business need.
Conclusion
Data is a valuable asset for any enterprise and follows a lifecycle. Eventually, data becomes obsolete. Failing to properly retire dormant data represents an unnecessary risk and a continuously growing burden to maintain.