Resources

On-Demand Webinar

Business Process Automation with Robot

Typical “computerized” business processes are a combination of multiple schedulers, operational scripts, CL programs, and manual file checking, all backed up with the trusty runbook. Is there a better way to manage business processes? You bet!
On-Demand Webinar

Quick and Easy IBM i Disk Space Management

Studies show that the amount of data stored worldwide will grow by 4,300% within 7 years. 80% of that growth is on enterprise servers like your IBM i. If you want to be prepared to manage that kind of big data, watch this webinar!
Blog

Do You Need Enterprise Scheduling Software?

Job scheduling was simpler when you only needed to worry about your IBM i (AS400) server and its batch processes, but several dynamics have changed over the past decade which have forced us into worrying about processes on other platforms.
Blog

Is Your Boss an Automation Skeptic?

There is little doubt among IT experts as to the potential benefits of implementing automation tools at deeper levels within the data center environment. Yet adoption rates have not always mirrored this optimism. Especially among the small business crowd, automation is still seen as something that is "nice to have" as opposed to mission-critical.
Blog

Say Goodbye to Document Mismanagement

We write a lot on this blog about document management, but this time we wanted to share a graphic illustrating the struggles that some companies and individuals still face in their processes. Can you see yourself (or your company) in any of these stats? If so, let us help you find a solution! With RJS, your company can digitize documents and electronically store your files, while creating a...
Article

Robot Best Practices

Wondering about best practices for automating your IBM i processes with Robot systems management solutions? Take a look at this list and get off to a good start.
Article

Is the i Ready for the Three Vs of Big Data?

The three Vs of big data are volume, velocity, and variety, but in order derive value from big data, IT departments need tools to store massive amounts of data (volume) and make sure it is always available for quick analysis (velocity).