The difficulties of transitioning from legacy data management systems to more modern approaches have been a largely discussed topic as of late. Many companies are focused on digital transformation and incorporating cloud-based technologies, however, it is important to find a balance between the two since legacy systems still hold valuable data. In an article entitled “Navigating the Path from Legacy to Modern Data Management,” Rajan Parthasarathy notes:

“Like every technology, data management is evolving. Successful companies strive to manage their data efficiently, and much of the focus today remains on digital transformation, which may include incorporating cloud-native technologies. However, as the Harvard Business Review explains, “The rate of digital transformations failing to meet their original objectives ranges from 70% to 95%, with an average at 87.5%.” While many believe that adopting these technologies allows organizations to adapt and scale, legacy systems still exist in many organizations’ tech stacks, and it doesn’t make financial or practical sense to rip and replace them. We also can’t forget about the data that exists within some of these legacy systems. A balance must be struck when working with legacy systems and incorporating digital technology solutions. Additionally, companies must follow the proper process when transitioning from traditional legacy data management systems to modernized approaches.”

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