Top considerations for data modernization initiatives

Here are four important questions IT leaders should ask themselves when it comes to data modernization. Credit: shapecharge Most organizations are already well under way with their digital transformation journeys, particularly data modernization. For most companies, the drive for data modernization is attributed to the massive growth of data and a business goal to harness as much data as possible to unlock its potential in transformative ways. Adopting cloud-based solutions is, perhaps, one of the most popular means of modernizing. Moving data into a cloud-based environment enables faster data sharing, improves workflows, and can ease workloads on mainframe systems and data centers. But moving critical infrastructure out of the data center is a process that is easier said than done. Anytime data moves from one environment to another, risks and security threats become a real possibility. For businesses that operate in highly regulated industries or handle large amounts of sensitive customer data, considerations around the potential for regulatory violations or data breaches make getting the modernization process done securely critical. When executed poorly, data modernization can leave organizations with a jumbled mess of data, adding to workloads, sapping productivity and workflows, and harming employee and customer satisfaction. Businesses need […]

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