Each year, IBM hosts IBM Tech University, a hands-on educational event for all things advancing in the tech industry. This year, the event was held from April 29 through May 3 in Atlanta, Georgia, and our Galileo team was lucky enough to be among the presenting speakers.
The conference included a number of valuable breakout sessions focused around the latest IBM system innovations, as well as larger, emerging concepts in the tech industry like machine learning and artificial intelligence (AI).
For our presentation, we took a slightly different approach and involved the audience directly. We took interactive polls, held several question and answer sessions (where participants were awarded with candy bars stuffed with dollar bills), and used their direct feedback to steer the presentation.
The result was a fun-filled session that demonstrated some of the top biases IT decision-makers have when choosing a capacity planning tool. As workloads associated with machine learning, AI and other advanced concepts become more prevalent, ensuring that the right capacity resources are in place is more imperative than ever before.
What biases can get in the way when selecting the right tool?
According to a live poll we conducted during our IBM Tech U presentation, many businesses today are searching for a better capacity planning tool. Overall, 36% of our session attendees agreed, and another 24% noted that they do not have enough time to support proper capacity planning.
This means that not only are businesses looking for improved tools to support their capacity planning, but they need efficient solutions that can offer them insights quickly in order to support the best decision-making.
However, as decision-makers work to choose the best tool for their needs, a few personal biases can get in the way. They include:
- Belief bias, where stakeholders will use any means possible to rationalize a conclusion, as long as it aligns with their existing beliefs. This is where access to accurate and reliable analytics becomes so important, enabling decision-makers to gain insights and support their views with hard data.
- Availability heuristic. In other words, our minds and decisions are most influenced by the elements that most easily spring to mind. However, the first impression isn't always accurate or correct, and it's important to dig deeper than surface level and continuously reevaluate current conditions and requirements.
- The Barnum Effect. This refers to what happens when one makes vague observations, and leverages emotions to fill in the gaps. While emotions can be powerful, it's imperative to use strong logic to make decisions, and use accurate analytics to back it up, when possible.
- Groupthink, or letting the dynamics of the group overcome the best outcomes, is another issue that can get in the way when selecting the right capacity planning tool. In these instances, it can be invaluable to bring in external stakeholders that can offer a new perspective to avoid getting caught up in existing group dynamics.
Businesses need a capacity planning tool that provides them with access to an array of capacity data, that enables them to continuously reevaluate their infrastructure and that uses logic to do so. What's more, software like Galileo Performance Explorer, which is backed by expert consults to provide a valuable, external perspective, is one of the best options to choose.
Other key takeaways: A commitment to continuous learning
One of the elements that struck us most about this year's IBM Tech U was the open-minded spirit of learning and motivation to be educated on the part of attendees. People didn't attend to have information handed to them — they were ready and willing to learn something new and apply it to their organization.
This push toward active education and expanding our potential is what we're taking back to the rest of our team at Galileo. Just as IBM Tech U focused on tech advancements, so too are we looking toward growing the features and capabilities within our capacity planning tool to best support our customers.
"We focus on staying ahead of the curve, by offering high quality services for customers in their journey for data analytics to support their performance optimization and capacity planning," said Craig Beible, Vice President of Digital Transformation at Galileo parent company ATS Group. "We know that another tool in their toolbox is not what customers want — they want the ability to get value. Therefore, we avoid just haphazardly throwing products out there saying 'Go use it.' We provide a comprehensive, holistic solution that brings meaningful and positive impact to their business."
To find out more about Galileo's industry leading capacity planning solution and all that it can offer your organization, connect with us for a demo and free 30-day trial.