Resources

Article

Small but MIGHTY: Controlling the *CLS Object Type

By Kurt Thomas on Wed, 08/24/2016

While the instinct for administrators and IT managers is to always hunt down a culprit – a rogue job, an inactive journal receiver, or something else – sometimes the very building blocks of a common process, or rather the specifics that define processes, can be where the trouble at hand resides.

Guide

IT Centralization and Robot

This paper makes a case for IT centralization on IBM i and explains the important role automated systems management technologies like Robot have to play in centralized IT environments.

Guide

Building a Sound Investment Strategy Through Technology

Combining IBM Power Systems hardware and reliable iSeries job scheduler software is a powerful investment strategy for companies that not only improves their bottom line, but enhances customer experience.

Article

Database 101: Why You Can Rely on IBM i

Fri, 08/19/2016

IBM i is the perfect environment for data access and reporting. Read this article to learn how you can better utilize your Power Systems databases.

Guide

Key Performance Indicators and the Reporting Tools for Success

Learn why KPIs are a must for any business intelligence strategy—and how you can apply them.

Guide

Dispelling the Myths of IBM i Data Access

Ironically, many IBM Power Systems™ users are sitting on top of a “gold mine” of data that they could use to make their lives easier, their jobs more productive, and their companies more profitable—if they only knew how to harvest it. Yet, they don’t have the first idea about how to do that. They might even be considered “power users” on their computer systems and not know how to transform the...

Article

Trigger Events with a File in Robot Schedule 12

By Tom Huntington on Fri, 08/19/2016

Robot Schedule version 12 makes monitoring for file events and setting them up as dependencies a very simple process.

Article

How Banks Leverage Big Data for Big Value

Fri, 08/19/2016

Technology professionals in the banking industry face a wide range of concerns due to the nature of the data stored within their systems. The potential reward in stealing or compromising financial data makes these organizations a prime target for cybercrime, while stringent industry regulations require security to be extremely tight at all times. Is it possible to strike a balance between defensive, regulatory, and data access needs and still provide access to data for analytics without compromising the security of the entire system? The truth is that many organizations in the financial sector have deployed analytics technology while being able to keep their security tight, and are benefiting from it.

Case Study