The AIX Community Survey, now in its fifth consecutive year, goes in-depth with IT teams to gain a unique perspective into how this platform is being used today and how teams envision using it in the future. Over the years, the respondents of the survey have expanded to include a variety of industries, geographies, and titles within IT. More than 100 IT professionals in North America, EMEA, and APAC participated in this year’s survey, and this input enables all of us to understand the role of AIX with new clarity.

With organizations collecting more customer, transactional, and relational data than ever before, data volumes are beginning to expand past their system’s processing capacity. But big data doesn’t have to be alarming. Go beyond the hype and conquer your IBM i data.

To effectively and rapidly enable and manage complex business processes, organizations must adopt a unified solution that directly integrates process automation with job scheduling.

Enterprise scheduling tools have many advantages over the older technology of client-server scheduling tools.

Skybot Scheduler provides many advantages, including event-driven scheudling and cross-platform capabilities, over UNIX cron job scheduling.

Because there is still a need for recurring application processes to perform activities, there is an increased need for critical back-end computing via workload automation software.

Central monitoring and automatic notification are the keys to successful workload automation.

Consolidating scheduling across multiple applications into an enterprise job scheduler increases productivity and helps the bottom line.

Following a specific plan for automating your enterprise schedule ensures greater success for your implementation.

Cron is a useful tool, but for today’s large, interconnected enterprises it has its limitations. Modern enterprise job scheduling tools offer superior functionality, ease of use, and a more modern, graphical user interface.

It is important to understand the challenges that many companies face with data integration so that the appropriate tool can be used to address them.

Bad data is common throughout many organizations—and the costs can be far-reaching. This white paper explores the common causes of inaccurate and incomplete business data, as well as how businesses can identify and mitigate these problems.