Identify and eradicate "Shelfware" and legacy tools with overlapping functionality, such as duplicate performance monitoring utilities.
Consolidate your software footprint to gain powerful technical leverage for a stronger negotiating position at contract renewal.
Free up MSUs consumed by unused, misconfigured, or inefficient software agents and background tasks.
Mainframe software portfolio optimization is the strategic process of auditing your z/OS software stack to perfectly align licensing costs with actual technical utilization.
By analyzing historical SMF data records and vendor contracts, we identify products that are no longer required, remove duplicate functionality, and uncover opportunities to negotiate highly favorable terms based on real-world usage.
We leverage a proven methodology that converts system forensic data into an actionable financial and operational roadmap, ensuring major cost reduction without ever compromising system availability.
Independently evaluating all z/OS systems, software lists, and contracts. We map real-world utilization to identify duplicate functionality, under-used products, and potential compliance exposure from unlicensed software.
Building data-driven ROI models for software removal and providing the exact "technical ammunition" needed for vendor negotiations.
Managing the safe removal of legacy tools while rigorously monitoring for hidden dependencies within your production batch cycles.
Of the total mainframe IT budget is typically consumed by software licensing costs.
Of the world's largest banks trust CPT Global to optimize performance, capacity, and costs.
Typical timeline to deliver an in-depth portfolio analysis and realize structural cost savings.
Navigating complex ISV contracts and software interdependencies requires a precise blend of deep-system forensic data and procurement strategy.
We understand that internal stakeholders can often be reluctant to retire legacy tools due to perceived stability risks. As true z/OS system experts, we specialize in resolving these internal obstacles to safely realize maximum potential savings while ensuring your environment remains entirely resilient.