Automating SAP Jobs

U.S. Sugar used a combination of the SAP Job Scheduler and various FTP applications’ jobs to execute its data extracts and data processes. To run jobs reliably, the team needed to build ample padding into the schedule to allow the SAP jobs to finish before the file transfers started.


Automated Distribution of Market Data

Securities America collects daily market data from a variety of sources, processes it in several databases, then distributes customized reports to its customers. Behind the scenes, more than 10,000 jobs are run to transfer files securely, encrypt/decrypt files, and generate reports. The IT team had to manage an abundance of servers to run individual tasks, which created mounting overhead as the business grew.


Batch Credit Card Processing

A hospitality company had been using SQL Agent and Windows Task Scheduler to move loyalty points between their database and partner networks. The system was difficult to maintain and didn’t provide visibility into the current status of jobs, since the jobs were stored in different systems.


Insurance Suite Batch Processing

Jewelers Mutual provides comprehensive repair and replacement insurance policies for jewelry. The company runs a series of critical jobs against its insurance suite and orchestrates data loads into its analytics platform and data warehouse every night.


Automating Fuel Oil Delivery Logistics

An Australian utility manages its entire load and order process for fuel oil across 23 terminals. More than 25,000 file transfers, JDE jobs, bank transfers, and ESB triggers come together daily to support critical business processes.


Automated File Transfer Plus Batch

Maritz designs and operates employee recognition and reward programs, sales channel incentive programs, and customer loyalty programs. To execute thousands of daily file transfers and the batch processes necessary upon receipt required an application stack that spread across 3 separate applications. JAMS consolidated all scheduling and automation – both Windows and Linux jobs – into one console, saving the company hours of overhead.

JAMS runs more than 800 jobs with excellent reliability. Maritz leverages JAMS central monitor to view its entire schedule of jobs and keeps business users informed of the status of critical jobs with JAMS alerts and notifications.