Around 80% of mission critical business applications, especially in the Insurance and Banking industries, still run on mainframe. The constantly expanding batch window is making it difficult for organizations to explore new initiatives, leverage big data and new analytical scenarios, and is thus reducing agility of decision making and increasing the overall time to market.
The three most important manifestations of failures in mainframe batch optimization are:
- Business impact and non-compliance due to delay in processing critical data
- Locking up investment capital due to higher cost of operations
- De-prioritization of business decisions due to excessive workload in the existing application portfolio
In our whitepaper titled “Business Agility through Mainframe Batch Optimization” we outline a five- step process to approach batch optimization. We emphasize this methodology because, in addition to looking at individual business processes and resolving issues locally, it is equally important to understand the ecosystem, and how the business processes interact with each other.
We also use a real life case study at a fortune 50 financial services firm to outline the methodology. The methodology follows a common sense approach and is depicted as:
Download the whitepaper “Business Agility through Mainframe Batch Optimization” to learn more.
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