Companies play smart, and they’re well aware of the disadvantages and risks of keeping legacy systems or outdated technology in their workflow. Despite that, many don’t do anything about it. Why? Because doing nothing affordable. Phasing out a legacy system that your business has relied on for over a decade is a major undertaking. Leaving it in place for as long as possible typically proves more cost-effective than immediate migration, even with potentially severe risks considered.

In addition to the very real negative impact on every person around the world, the COVID-19 pandemic is driving business disruptions and closures at an unprecedented scale. Enormous government stimulus programs are resulting in explosions in fiscal deficits, regulators are relaxing capital constraints on banks and central banks are supporting economic stability with a range of interest rate cuts and other stimulus measures.

Fast-growing software companies are building data applications for a variety of uses, from marketing apps that provide customer insights, to IoT apps that handle device feedback, and data analytics apps that process both historical and near real-time data. But developers often face obstacles when building, designing, and supporting applications that need to parse large volumes of information.