Control-M

It is used to manage back office operations.

• Support costs less than previous application
• develop and deliver quicker solutions

Tivoli Asset Management for IT (Discontinued)

ServiceNow Enterprise Asset Management

It addresses business problems like operational inefficiency, process unreliability, and the challenges of scaling complex workflows. The scope of its use case encompasses a wide range of activities, including data warehousing, file transfers, application deployments, and even integration with emerging technologies like cloud platforms and data analytics tools. Devops - "as code"

• Control-M has demonstrated a positive ROI by enabling significant cost savings, improving service delivery speed and accuracy, and facilitating business expansion through automation and streamlined processes.
• Automation with Control-M minimizes the need for manual intervention in workflows, freeing up staff for higher-value tasks and reducing the potential for human error.
• Bmc should consider cost effectiveness for long term clients during license renewal
• By automating processes, Control-M helps optimize resource allocation, ensuring that resources are used effectively and efficiently.
• By providing real-time visibility into workflows and processes, Control-M enables better decision-making based on accurate and timely data.
• Scalability

HCL Workload Automation

BMC Helix ITSM

We use Control-M as the primary scheduling tool in our organization. We used IBM's TWS earlier as official scheduling, but we recently migrated to Control-M. Control-M addresses the following business challenges: Operational efficiency: Automating manual tasks reduces human error, improves productivity, and frees IT staff up for more strategic initiatives. Process reliability: Ensuring critical business processes execute on time and accurately, minimizing disruptions and downtime. Scalability: Handling increasing workloads and data volumes efficiently without compromising performance. Compliance: Adhering to regulatory requirements and internal policies by automating audit trails and control processes.Cost reduction: Optimizing resource utilization and reducing operational expenses through automation.Scope of Use CasesThe scope of Control-M usage varies widely across organizations. Still, everyday use cases include Batch processing, Scheduling, and executing batch jobs for data processing, report generation, and file transfers. ETL processes: Orchestrating data extraction, transformation, and loading tasks for data warehousing and analytics. IT operations: Automating system maintenance, backup, and recovery procedures. Financial processes: Executing financial calculations, reconciliations, and reporting.

• Need improve licensing model for Cloud native application.
• For On-prem environment also licensing model need to be cost effective.
• Security patches and features need to be releases more frequently

TWST Events, Redwood RunMyJobs and AutoSys Workload Automation

AWS Batch, Google Cloud Dataflow

Control-M is used as the corporate Workload Automation tool and is particularly used in cross-platform scenarios (mainly Linux and Windows servers) when active resource management is required, for integrated housekeeping tasks (e.g. server housekeeping, backups, DB housekeeping) and when we need to ensure guaranteed operations. We use it to send out SMS alerts (and emails) when serious errors occur.

Application-wise we use it for Data Warehouse, Peoplesoft, file transfers, various banking apps, direct DB jobs (Control-M for Databases), Cadis, Tableau and managing various in-house apps.

• In terms of ROI, Control-M pays for itself within 12 months of purchase, sometimes sooner. Pointing this out to your fellow product qwners will not make you popular.
• By automating repetitive tasks you free staff from these mundane and error-prone roles and allow them to be more productive. An example would be using the AFT module for file transfers. File transfer scripts tend to be in-house scripts that need maintaining. Using the AFT removes most of this overhead and allows for easy problem resolution.

Tivoli Workload Scheduler, Automic Dollar Universe and CA Workload Automation

OpenText Data Protector, Oracle PeopleSoft ERP, Tableau Server

Picture this: data pipeline drops at 2am. Its supposed to grab logs, transform them, update a warehouse and send an alert. Now, if anything in that chain fails, someone is waking up cranky. But Control-M, It tracks every step, check conditions, retries intelligently, and if something goes, it tells us where and why. It basically keeps the wheels turning behind the scenes without us needing a million scripts duct-taped together

• Since centralizing all our workflows in Control-M, we've cut end to end processing time by nearly 30%
• Before Control-M we were babysitting scripts, manually rerunning failed jobs, and chasing ghost errors. With automated recovery, smart notifications, and fewer failures slipping through the cracks, we have saved 3 hours a day across teams
• Our workflows success rate sits at 99.95% and when things do fail, they are pinpointed immediately

AWS Cloud9, Azure DevOps Server