Automated Quality Control of Computer Processes With Control-M/Analyzer

Immediate detection of data-related processing errors is provided by Control-M/Analyzer. The Control-M/Analyzer detection capabilities automatically respond to error situations before corrupted data are dispersed throughout the system.

When scheduling and data balancing procedures are automated, the operations environment becomes more efficient, productive, and accurate. Large amounts of time are freed up for other tasks.

The diagram below illustrates the daily flow of automated quality control of computer processes with Control-M/Analyzer. For each job, scheduling and processing of data balancing tasks is usually performed for both job input and job output. With Control-M/Analyzer, these tasks are performed automatically. Simply run the job, and data balancing tasks are performed for you.

Figure 2 Daily Flow of Automated Quality Control of Computer Processes

Control-M/Analyzer data balancing procedures can implement a wide variety of quality control techniques including:

• internal consistency checks
• cross-application checks
• run-to-run comparisons and trend analysis
• statistical evaluations

With Control-M/Analyzer, data balancing need not require changes to program source code. Incorporating sophisticated quality control techniques in the source code of numerous programs is time-consuming, expensive and, if your organization does not control the source code, simply impossible.

When problems are detected, Control-M/Analyzer can initiate one or more of the following appropriate actions:

• terminate with a return code that indicates the type of problem
• initiate the execution of a job or application
• continue or stop subsequent production jobs and reports
• send messages to appropriate recipients
• open problem tickets
• delete a problematic report file from spool
• produce a detailed balancing report indicating the number and types of problems found

The Control-M/Analyzer Reconciliation Facility provides a quick and effective way to determine why control totals do not balance. This facility examines multiple information sources, sorts them, compares them on the record level, and identifies specific records that do not match. The Reconciliation facility enables extraction, reformatting, accumulation and comparison of data fields in files. Any field or combination of fields can be defined as a key for sorting the records prior to comparison.