Enterprises across the globe still run critical processes with mainframes. Estimates range as high as 80% of transactional corporation data is in mainframe systems. Unfortunately, in most cases the mainframe data in these enterprise organizations remains inaccessible to new data analytics tools that are emerging on a variety of open source and cloud platforms, including Hadoop and Spark.
There is a tremendous opportunity to surface mainframe data into this new world of fast-moving open technology. Organizations that have freed up mainframe data for cross-enterprise consumption are achieving greater agility, flexibility and lower costs.
Our latest white paper, Mainframe Data as a Service: Setting Your Most Valuable Data Free, dives deeper into the complex challenge of connecting Big Iron to Big Data and explores how extending Data as a Service (DaaS) to mainframe data opens up a large and often impenetrable source of valuable corporate information.