Increased interest in predictive analytics in general and workload analytics specifically has resulted in companies requiring advanced capabilities and integration with other IT operations functions that Terma Software will now provide . The company announced today that its latest product offering, UNIFY-CONNECT™, designed to address customers’ advanced needs.
“Companies have long struggled with the reality of implementing workload applications that don’t share valuable data. UNIFY-CONNECT is being developed to address that urgent need,” notes Shane Hade, CEO of Terma. “The very best way to design and release a new product is to understand what customers want. We have been fortunate to work with the best and brightest workload professionals who make up our customer base and they asked for UNIFY-CONNECT.”
So how does UNIFY-CONNECT address those problems? Jim Anderson, V.P. Corporate Strategy at Terma explains, “The workload data that is so critical to a company is found in a myriad of applications that are oftentimes legacy systems. They are frequently applications that the companies do not want to replace because they are good, solid systems that do the job they are designed to do. What they unfortunately are not so good at is sharing that information in order to be a valuable player in the new ecosystem of predictive analytics. The primary goal of UNIFY-CONNECT is to provide a solution to address current challenges that exist with incident management and impact determination along with accurate prediction for estimated completion of batch feeds. Further, it has to be extensible to a company’s future needs.”
Anderson continued, “Early this year we developed and introduced the first universal API into our predictive analytics platform which was the first step in making UNIFY-CONNECT possible. Now we will provide our users with UNIFY-CONNECT which is a kind of ‘workload data hub’ that integrates with their existing schedulers and other IT operation tools to allow users to optionally subscribe to various workload data as it changes in order to obtain definition and status data, predict end times for jobs, jobstreams, and feeds, and then publish that data to a designated consumer, for example an event management system. You can think of it as a Publish/Subscribe hub for workload data management and predictive analytics.”