Reduce mainframe job cycles by 40% or more.

By optimizing mainframe batch processes financial institutions can generate increased revenue while cutting computer processing costs.

Together, the cost savings and additional revenues can provide much-needed internal financing for digital transformation. That’s how Polaris leverages its financial experience and knowledge of legacy systems to bring clients into the digital 360 future.

Streamline legacy systems. Make immediate realtime gains.

Benefit from financial knowledge.

Unlike many mainframe optimization consultants, Polaris has the banking and finance experience it takes to understand and optimize the business logic embedded in legacy systems. Many financial organizations run mainframes because of their ability to process millions of records fast. Polaris consultants can help you decide which tasks to move to the digital cloud and which to maintain on legacy systems.

Gain the efficiencies of straight-through processing now.

Accelerate existing mainframe tasks running as batch jobs by moving them to online, realtime processing. SWIFT messaging, for instance, can run in realtime, rather than as batch jobs. Polaris consultants understand best practices like straight-through processing and how to achieve them by making existing systems more productive. The reduced costs and risks make your existing businesses more competitive while you plan new digital applications.

Streamline old code, and reduce rewrite risks.

Through best practices and proprietary tools developed in the Polaris Mainframe Center of Excellence, Polaris mainframe experts analyze and rework mainframe batch processes that have grown inefficient over the years. Our tools gain precious hours of processing time by:

  • Prioritizing jobs within batch code
  • Determining jobs that can run in parallel rather than sequentially
  • Eliminating redundant processes and unused business functions
  • Automate project analysis. Reduce outsourcing and consulting costs.
  • Cut code analysis times in half through automation.

Polaris relies on its proprietary mainframe toolkit to automate code analysis, which cuts analysis times in half compared to traditional manual analysis. Our tools go beyond simple code analysis. We also automatically extract business rules, process flows, and data flows, making it easier to reengineer business processes if needed.

Reduce project durations by 50% or more.

The experience of Polaris consultants combined with our tool-based approach cuts outsourcing costs. Client projects that would have taken 25 person months if done with typical manual analyses and processes have taken 12 person months or less.

Key Benefits:

  • Gain additional revenue and cut mainframe costs to finance digital transformation.
  • Reduce mainframe processing cycles by 40% through batch code optimization and job prioritization.
  • Cut analysis and project times in half with tools and training from the Polaris Mainframe Center of Excellence.
  • Sample BPO Deliverables

The following chart shows the primary analyses and deliverables that Polaris BPO experts deliver to recommend and provide cost savings.


Polaris Success

Global Custodian Gains Revenue, Cuts Processing Costs

A leading UK bank runs a global custody system. Growth in the global capital markets and increased regulation created needs for new reports. As a result of inefficient batch processes, the additional load started to choke mainframe jobs, reducing opportunities for additional business.

As a result, the custodian’s processing cycle in London ran past the start-of-day cycles in New York. The custodian needed to take online processing offline in New York while London batch jobs completed, reducing opportunities for new business and potentially delaying existing work for New York customers.

Polaris used its mainframe optimization tools to analyze the custodian’s batch-job code. We found a tangle of inefficiencies built up over years of maintenance by multiple programmers. We eliminated redundant code, reorganized jobs so they could run in parallel, and moved some jobs to realtime processing.

The result was a savings in batch processing time of more than 40%, cutting processing time by more than two hours. The bank saved processing costs and gained new business in New York with the freed capacity.