VISUALjob for TWS provides managers, production staff, applications personnel and end-users with an integrated graphical overview of the TWS job network that is unmatched. Complex relationships between operations and applications are presented in an easy and understandable visualisation, not only reducing the time it takes to understand the existing environment, but also pinpointing potential problems and avoiding downtime. All TWS parameters are supported.
Cross Reference Reporting
Searching for criteria within the schedule and generating dynamic reports could not be easier with VISUALjob for TWS. The cross- referencing facility offers a powerful reporting tool with an easy to use interface; without requiring individual coding skills or proprietary language.
Faulty planning can lead to disruptions and delays in production. In order to visualise the schedule or discover possible planning mistakes while designing the job net, VISUALjob for TWS provides robust TWS forecasting functions. VISUALjob for TWS can forecast at any level, from the individual application / operation or the entire schedule. The TWS forecast can be performed for a specific day or a range of dates. The output can be a flowchart, Gantt chart or spreadsheet.
Designing and Maintaining Scheduling Definitions
From directly within the VISUALjob for TWS Windows GUI, authorised users can quickly and easily edit, duplicate or delete specific TWS scheduling information. All TWS for z/OS and TWS End to End parameters are supported and all field names used in the GUI are the same as in the TWS ISPF interface, so users will be inherently familiar with the fields.
Free form reports can easily be generated utilising statistics collected from past TWS batch executions. Robust filtering criteria can be used to narrow the focus of reports based upon criteria such as dates, times, day of week, applications, operations, workstations, job status, and more.
When there is no way to accurately simulate the effect of an added load to a job flow or the longer/shorter running of jobs within a flow, service levels are hard to define. VISUALjob for TWS provides comprehensive workload simulation functions with graphical support through the Gantt chart to perform resource utilisation and proactive analysis.
Creating Images and Printing
Creation of graphics, prints, PDFs and/or MS VISIO of the job flows facilitate accurate communications between interrelated departments and better documents the business processes that TWS supports.
In addition to the imaging and printing capabilities within VISUALjob for TWS, it is possible to create robust web based reports of the TWS schedule flow. With a click of the mouse or through an automated batch job, reports containing hyperlinks, graphical and textual information are produced. The produced reports can be immediately available for view on your intra/internet site.
Enhanced Path and Critical Path Analysis
In order to understand and analyse a TWS job net correctly, it is extremely important that the various paths between operations can be identified quickly and accurately. The path search option of VISUALjob for TWS can identify and display the TWS paths from and between a start and/or end operation. Combining the path search with the VISUALjob for TWS forecast function or the VISUALjob for TWS knowledge about how jobs have executed in the past makes the enhanced VISUALjob for TWS (critical) path analysis a very powerful assistant.
Loop Analysis and Detection
A loop within the schedule can have disastrous consequences on the production environment. The VISUALjob for TWS loop detection facility identifies potential loops before they negatively impact batch production. In doing so, no TWS for z/OS trial plan needs to be created; which saves time and resources. Loop detection is available for a single operation or for checking an entire job net.
VISUALjob for TWS enables the user to visualise past executions in a Gantt chart, based on the actual run-time information collected in the statistical database. This provides an excellent graphical overview about how processes have performed in the past and as compared to their average performances.