Businesses have plenty of reasons to move on from legacy apps and platforms. In many cases, companies spend heavily on keeping legacy systems up and running, so much so that innovation ends up stifled because maintenance tasks end up dominating development and testing activities. In some instances, security risks become an issue. While both of these problems offer plenty of incentive to update legacy products and platforms, data integration may be an even bigger issue. The problem isn’t simply that legacy apps don’t easily communicate with contemporary solutions. Instead, legacy platforms are often built on underlying architectures that don’t work well in cloud environments, have the ability to support big data or provide support for modern solutions, such as blockchain.
With organizations becoming more dependent on interconnected digital ecosystems to support operations, gaps that force users to work exclusively from certain device types, work from a specific location or jump through similar logistical hoops can slow operations to a crawl. Furthermore, the maintenance work and security issues we just discussed often come into play when businesses try to migrate information from modern apps into legacy solutions. https://goo.gl/hW5Tjx #DataIntegration #ML
