Issues and Priorities in Modern Workload Automation: Supporting Analytics, Continuous Delivery and Digital Transformation

Modern IT means multiple cloud environments, big data, advanced analytics and an increased rate of change to existing and new applications. More workloads are focused on collecting a variety of data types, storing all that data in big data environments and performing more sophisticated analytics. The digital transformation that is overtaking enterprises in all industries is further complicating the task of managing the changing workload landscape.

In its new research study, Issues and Priorities in Modern Workload Automation: Supporting Analytics, Continuous Delivery and Digital Transformation, leading IT analyst firm Enterprise Management Associates (EMA) explores the impact on workload automation from recent IT trends. EMA surveyed enterprise IT professionals involved in workload automation as well as business users of workload dashboards on a wide range of topics affecting workload automation operations. 

Join Dan Twing, president and COO of EMA, to get key data from this new research, including: 

• Key pain points related to workload automation and areas of increased satisfaction
• How IT trends, including cloud, big data and analytics, impact WLA
• Business unit and developer interaction with WLA software
• Trends in WLA from 2013 to 2016, including centralized job scheduling, workload mobility and WLA software migration plans