For decades, enterprises have relied on mainframe computers to deliver mission-critical applications. Government agencies, healthcare organizations and businesses of all kinds – particularly in finance and insurance – use mainframes to manage some of their most sensitive and valuable data. And because of their high performance, reliability and security, mainframes aren’t going anywhere soon. In fact, the market for them is growing.
But unlocking insights from these workhorses comes at a cost. Forward-thinking enterprises are looking for ways to extract more value from their mainframe data while offloading MIPS processing and costs to less expensive platforms, especially to the cloud. With modern data integration approaches, these organizations are effectively leveraging this data for data warehouse automation, data lake creation, operations monitoring and new business cases like modern app development and data monetization.