The Impact of Analytics-Driven Workload Automation on Business Resilience
May 23, 2019 12:27 pm
Business is tough. To survive in a constantly changing world and remain competitive regardless of the circumstance, enterprises must develop strategies and tactics for resilience. IBM defines the concept of business resilience as “the ability of an organization’s business operations to rapidly adapt and respond to internal or external dynamic changes – opportunities, demands, disruptions or threats – and continue operations with limited impact to the business.”
Organizations that develop this kind of resilience ensure the continuity of their business operations and therefore the optimized performance and longevity of their businesses. They mitigate business and technology risks, reduce the amount of resources required to maintain resilience-related activities, and enable seamless and continuous business transactions and IT applications. Resilience not only protects companies, it allows them to adapt and respond to potential market opportunities.
Workload Automation is a critical part of resilience efforts for large organizations because it is a key operational driver connected directly to business activities. The adaptability and responsiveness of the front end business activity is either helped or hampered by the back end processes it is driven by. A lack of optimization in workload processes can lead to issues such as bottlenecks or slow turnaround for changes in production, which inevitably cause inefficiencies in front end applications.
Unfortunately, the large, incumbent job scheduling solutions in place for many organizations are siloed and inflexible. Effective workload management is a challenge and optimization can feel unattainable, especially when there are multiple schedulers across different platforms and business units. Valuable amounts of time and employee resources are required to run complex workload environments and deal with disruptions as they happen. These are the types of inefficiencies business resilience efforts need to address.
So what does a Workload Automation system that actually promotes resiliency look like? Workload processing and jobstream dependencies are easily visualized, understood, and optimized across multiple platforms and vendors. All of the various stakeholders and business application owners in an organization have access to the workload data they need for informed decision-making. With minimal resources, potential issues are identified and resolved before they even occur.
Terma Software exists to turn the vision of workload resiliency into reality. We intentionally developed our AIOps platform to fill in the deficiencies left by current scheduling solutions and empower enterprises to optimize back end processing. TermaANALYTICS provides the necessary capabilities for flexible and resilient Workload Automation, including comprehensive multi-vendor and multi-platform visualization, a common interface for all stakeholders across teams, and advanced predictive analytics. Schedule a demo with us to learn more.