Resources

Article

Moving to the Digital Age: The Challenges Facing IT Today

Wed, 03/29/2017
For all its meaningful advancements, the push into the digital age also brings with it a host of new challenges for companies. Key among these challenges is the increased difficulty in tracking workflows. Find out how Automate Schedule can help.
Automation
Article

Why Everyone Has a Crush on Linux—even IBM

Tue, 03/14/2017
Linux helps enterprises make IT more scalable and flexible. Supplemented by dedicated, Linux-compatible tools for job scheduling—like Automate Schedule—put organizations in a prime position to streamline operations to meet changing requirements.
Automation
Article

Enhance Your Reporting with Sequel Date Functions

By Heath Kath on Fri, 01/06/2017
Sequel makes it easy to work with your date fields, from converting the numeric or character field into a true date data type field to performing date calculations. Continue reading to learn how to convert non-date data type fields.
IBM i Business Intelligence
Article

How-To: Analyze Year-End Data Quickly with Flexible Client Tables

By Heath Kath on Thu, 12/01/2016
Year-end reporting is coming… Are you ready? Do you know your options? Are you prepared to collect all of the data you need to see how your company fared for the year? You’re in luck, because Sequel Client Tables make year-end reporting a breeze. Drill down into the level of information you need for your reports. Compare data across multiple years to spot trends and add context. And highlight...
IBM i Business Intelligence
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.
IBM i Business Intelligence
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.
IBM i Business Intelligence