T24 COB Performance Analysis

Close of Business (COB) processing is mission-critical. Long processing times set the Bank's opening times for the following day at Risk and would result in significant reputation and business issues.

Several tools, such as our T24 Transact COB Monitor, can observe every aspect of this crucial processing. Classic COB processing consists of hundreds of jobs and service executions. Without an observability and analysis product, it's impossible to find the root cause of performance issues.

We also use Tools such as Job Times (JT) and Report Times (RT) Analyzers to get information about the time taken by any job or report routine during the previous COB. Once we get the timings, we can filter out the long-running jobs and reports. We can use this data for COB tuning.

JT – Job Time Analyzer

We use JT to fetch the details about the time the Jobs took in T24, usually in the COB.

Execute this command to start JT: tRun JT.ANALYZE

The result contains the following fields and their data.

BATCH.STAGE
BATCH JOB.NAME
BATCH.DATE
JOB POSITION
START.TIME
END.TIME
ELAPSED.TIME
PROCESSED RECS
THROUGHPUT
COMPLETED RECS
SELECTION.TIME
BULK.NO
TXN.MGMT
WRITE.CACHE
LOCK.COLLISION
TOTAL WRITE
DET PROCESSED
DET COMPLETED
DET THROUGHPUT
DET BULK.NUMBER
DET SELECT
TYPE OF SELECT
DET SELECT TIME

RT – Report time Analyzer

The RT Analyser is used to fetch the details about the time the REPORTS took in T24, usually in the COB.

Execute this command to start JT: tRun RT.ANALYZE

The result contains the following fields and their data.

BATCH
COMPANY TYPE
REPORT.NAME
ENQ.USER
REPORT.PRINTER
START.TIME
END.TIME
ELAPSED.TIME

The above reports only provide the previous COB data. Alternatively, we can fetch the details using JOB.TIMES and REPORT.TIMES for comparison with the last few days' data. These contain the output data for at least the previous ten runs. The disadvantage of these is that they will contain limited field data in the output.

JOB.TIMES

Similar to JT.ANALYSE with the following limited output data. We can directly launch this in the browser.