List of IBM Workload Automation Customers
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Since 2010, our global team of researchers has been studying IBM Workload Automation customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased IBM Workload Automation for Business Process Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using IBM Workload Automation for Business Process Management include: Voya Financial, a United States based Banking and Financial Services organisation with 10000 employees and revenues of $7.89 billion, Ohio Department of Taxation, a United States based Government organisation with 988 employees and revenues of $276.0 million and many others.
Contact us if you need a completed and verified list of companies using IBM Workload Automation, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The IBM Workload Automation customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Ohio Department of Taxation | Government | 988 | $276M | United States | IBM | IBM Workload Automation | Business Process Management | 2016 | n/a |
In 2016, the Ohio Department of Taxation deployed IBM Workload Automation to orchestrate automated batch processing across its production environment. IBM Workload Automation was implemented as a Business Process Management application to centralize scheduling, job dependencies, and execution timing for core processing pipelines.
The implementation focused on batch job scheduling and parameterized schedule packages, with configuration work to support symbolic parameters and environment promotion workflows. Functional capabilities implemented included automated job chaining, schedule revision controls, runtime verification of scheduling parameters, and non production system testing to validate packages before production execution.
Integrations and operational coverage included direct scheduling of STARS, Mainframe, and ECOMM job streams, and continued use of secure data transfer channels for exchanges with the IRS. Operational scope spanned ISD production operations, data systems schedulers, and customer coordination for specifications and delivery timelines, with weekly mainframe IPL cycles incorporated into schedule planning.
Governance and process changes emphasized maintaining records of job schedules and run completion dates, developing and retaining job flow documentation on shared drives, and providing training and work direction to lower level schedulers. Troubleshooting practices formalized interpretation of Job Control Language components and problem escalation procedures, while system testing in non production environments supported controlled rollouts of scheduling packages.
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Voya Financial | Banking and Financial Services | 10000 | $7.9B | United States | IBM | IBM Workload Automation | Business Process Management | 2020 | n/a |
In 2020 Voya Financial implemented IBM Workload Automation as a core component of its Business Process Management tooling to centralize batch scheduling, operational control, and workload orchestration across the Batch Applications team. IBM Workload Automation was positioned to support technical direction, integrity of the operations environment, and solutions engineering activities described for batch scheduling leadership roles within the IT organization.
Configuration and functional scope focused on classic workload automation capabilities including job scheduling, job stream orchestration, and automated workload control, with explicit responsibility for hardware and software configuration settings and application component upgrades. The implementation included configuration for access protocols, base level scripting and management on Linux and Intel operating systems, and routine tasks for opening, applying changes and closing vendor problem tickets for batch application components.
Integrations and operational coverage included ServiceNow for work intake, change management and incident tracking, and operational processes to support P1/P2/P3 troubleshooting calls, creation and distribution of detailed root cause analyses, and participation in on call rotations. Expert knowledge expectations referenced both Tivoli Workload Scheduler and IBM Workload Automation, indicating interoperable operational practices across institutional batch scheduling tooling and a preference for candidates with managed services experience.
Governance and process structure centered on Change Management, Release Management, Incident Management and Problem Management, with SLAs used to guide corrective actions and intake prioritization. The role of Batch Scheduling Lead Solutions Engineer provided technical coaching, contributed to batch strategy and roadmap inputs, and worked under Solutions Engineering Consultants as part of large, complex project teams to operationalize IBM Workload Automation for business functions supporting enterprise batch operations.
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