Optimizing IBM Z Operations: Reducing Cost and Risk Through Smarter Sort and Storage Management

IBM Z teams are under increasing pressure to control costs, protect production windows, and keep pace with growing data volumes, all while relying on smaller teams and fewer specialized skills. Core batch operations, particularly sort processing and storage allocation, often become hidden sources of inefficiency, reruns, and operational risk.
As batch windows shrink and workloads expand, inefficient sort jobs can drive up CPU consumption and software charges, while storage allocation failures and inconsistent standards can interrupt critical processing. Addressing these challenges individually helps but tackling them together delivers far greater impact across performance, reliability, and cost control.

In this webinar, we’ll discuss:

• Common cost, performance, and reliability challenges tied to sort processing and storage management on IBM Z
• How inefficiencies in these areas contribute to CPU consumption, batch delays, and operational risk
• The role of sort optimization in improving batch performance and controlling software costs
• How automated storage management helps prevent allocation failures, enforce standards, and protect SLAs
• How Precisely addresses these use cases with solutions designed to improve efficiency without disrupting existing workflows