We have data on 164 companies that use CA JCLCheck. The companies using CA JCLCheck are most often found in United States and in the Information Technology and Services industry. CA JCLCheck is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for CA JCLCheck usage goes back as far as 7 years and 1 months.
If you’re interested in the companies that use CA JCLCheck, you may want to check out BMC Control-M and SaltStack as well.
|Company||BLUE CROSS BLUE SHIELD ASSOCIATION|
|BLUE CROSS BLUE SHIELD ASSOCIATION||bcbs.com||United States||200M-1000M||1000-5000|
|Blackfriars Group||blackfriarsgroup.com||United Kingdom||1M-10M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Workload Automation. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Workload Automation category, CA JCLCheck has a market share of about 1.2%. Other major and competing products in this category include:
CA JCLCheck Workload Automation (CA JCLCheck) helps reduce delays in production cycle. It validates the accuracy of job control language (JCL) and also helps identify execution-time errors, such as security violations and missing data sets that could cause jobs to fail. By quickly validating JCL and identifying problems, it provides users with advanced warnings so corrective actions can be taken before the job is executed in the production cycle.
Looking at CA JCLCheck customers by industry, we find that Information Technology and Services (22%), Financial Services (14%), Insurance (9%) and Banking (9%) are the largest segments.
78% of CA JCLCheck customers are in United States and 6% are in United Kingdom.
Of all the customers that are using CA JCLCheck, a majority (73%) are large (>1000 employees), 9% are small (<50 employees) and 12% are medium-sized.
Of all the customers that are using CA JCLCheck, a majority (67%) are large (>$1000M), 24% are small (<$50M) and 0% are medium-sized.