How to save millions on legacy mainframe operations

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While organizations continue to use mainframes as an integral part of their legacy IT infrastructure and business model, mainframe technology is struggling to meet new data needs. Organizations today ingest, analyze, and quickly act upon larger and larger volumes of data to extract the maximum business value. Mainframes were not designed for these new and modern kinds of workloads.

Increasingly, data is fueling new products and services and disrupting entire industries—transportation, financial services, entertainment, and hospitality. Organizations need a modern, agile solution that scales quickly and cost- effectively to handle such massive amounts of data and delivers the insights needed to compete in today’s data-driven, customer-centric economy.

This document helps technology leaders understand the challenges of relying heavily on mainframes to meet their data needs and offers an approach to implement continuously available and highly scalable data and analytics solutions.