Look at the invoice
The conversation starts with your current monthly recurring cost and the capacity it reflects. That establishes whether an analysis is worth running at all.
DWC-IT works with NeuroTune.ai and specialist mainframe partners to analyze IBM monthly recurring costs and z-series performance—identifying optimization opportunities without asking your team to build a tuning program from scratch.
The workload is still essential. The cost profile around it was set years ago, under different assumptions.
Monthly recurring cost on a z-series environment is driven by measured capacity, and measured capacity is driven by how work is scheduled, how data is accessed and where inefficiency has been allowed to accumulate. Very little of that is visible from the invoice.
Addressing it properly needs mainframe specialists with time available—two things most organizations do not have spare. Competent mainframe people are expensive and generally working at or above capacity, which is why this analysis is so often postponed rather than declined.
Rather than asking you to assemble a mainframe optimization team, DWC-IT brings one. With our mainframe partners we apply NeuroTune.ai to the performance and cost data your environment already produces, then work through what it surfaces with people who have run these platforms.
The effort asked of your team is deliberately small, and it is front-loaded. DWC-IT supplies the collection instructions; your staff run them.
The conversation starts with your current monthly recurring cost and the capacity it reflects. That establishes whether an analysis is worth running at all.
DWC-IT provides instructions for VSAM and DB2 data collection. The tools monitor and report—they do not modify anything in the environment.
NeuroTune.ai and the mainframe specialists examine the collected data for inefficiency and for the relationship between workload behavior and measured capacity.
You receive the optimization opportunities identified, the expected effect on cost and the performance implications of each one—before anything is implemented.
Agreed changes are made with your team, and the result is measured against the baseline the collection established.
All collection tools are monitoring tools. They observe VSAM and DB2 activity and report on it; they do not alter data, workloads or configuration.
DWC-IT cites this engagement as an example of scale, not as a forecast. Every environment differs, and the only way to know what is available in yours is to run the analysis.
Course-of-contract savings cited by DWC-IT for a client with a 1000 MSU machine, following an engagement using NeuroTune.ai. This is a single client example and not a guaranteed outcome.
Stated as possibilities, because that is what they are until your own data has been analyzed.
Potentially reduce monthly recurring and monthly license charges by addressing what actually drives measured capacity.
Identify inefficiency in data access and workload behavior that has accumulated over years of change.
Required performance is a constraint on the work. Savings that cost you throughput are not savings.
A recurring-cost reduction shows on the balance sheet in a way most infrastructure projects cannot.
Specialist attention without adding permanent mainframe headcount or a multi-year internal program.
The commercial model is contingent: no savings while maintaining performance means no fee for the optimization engagement.
DWC-IT has been in enterprise technology since 1977, when mainframes and their peripherals were the business. That history is the reason this service exists: the platform never went away, and neither did the people who understand it.
A short conversation establishes whether an analysis is likely to be worthwhile in your environment. If it is not, DWC-IT will say so.