The process of implementing something new will almost always involve making a few mistakes, veering in the wrong direction and eventually figuring out a way to correct those missteps and prevent those risks in the future. Adopting IT automation is no exception. If you aren’t careful, the mistakes you make can become embedded into your business processes. As a result, these errors will occur at scale and ultimately become much more difficult to control and correct.
On the other hand, when you proactively detect errors and take the steps to address and correct them right away, you’ll have much more success with the technology. That said, here are five common pitfalls that can wreak havoc on your IT automation project so you’ll know what to watch for and avoid.
Lack of clear and accurate understanding.
Simply put, you cannot adequately solve a problem that you don’t fully understand. The same concept can be applied to IT automation initiatives. If you don’t completely understand what problem you are actually trying to solve, the risk of errors goes up exponentially.
To avoid this, begin with a hypothesis statement. Define the problem that you are trying to resolve and determine which models you plan on using to address that issue. This is critical, because if it’s not done correctly from the start, things can go wrong very quickly.
Poor data quality.
The old adage, “garbage in, garbage out” can easily be applied to IT automation projects, especially those that involve machine learning and AI. If the quality of the data you are supplying isn’t up to par, the outcome will inevitably suffer. In fact, poor data quality is one of the top concerns of data managers, as it can impact analytics and ultimately influence business decisions in the wrong direction.
The result of these poor decisions can negatively affect performance and make it difficult to garner support for future initiatives. Exploratory data analysis (EDA) can help you proactively identify data quality issues so you can prevent problems before they occur.
Absence of specific purpose.
Another common contributor to IT automation failure is implementation without a clear purpose. In order for automation to generate positive ROI, it must be applied properly – not simply because it’s the trendy thing to do. In fact, using AI and automation when it’s not the best solution to a problem can actually cause more harm than good.
In addition to addressing the wrong problem, doing so can involve wasted time and resources, both of which come at a cost. To avoid this, identify the precise problem and desired outcome to determine whether IT automation truly is the appropriate solution.
It’s easy to underestimate the amount of resources required to implement IT automation properly, in particular as it relates to infrastructure. Without adequate processing power, successfully implementing automated solutions in a timely manner can be difficult, if not impossible. Furthermore, without the resources in place to allow for its deployment and use, what’s the point?
To address the expense and complexity of deploying a scalable infrastructure, leveraging a cloud service that can be provisioned on-demand may be the better option. Those wishing to keep things in-house should look for a lightweight, plug-and-play solution that doesn’t require coding and can be deployed across both on-premises as well as private cloud platforms.
Poor planning and lack of governance.
It’s not unusual for an IT automation project to start off with tremendous enthusiasm only to lose momentum and ultimately end up grinding to a halt. When this happens, poor planning and lack of governance is most often to blame. For those projects that don’t cease, a lack of guidelines and limits can result in an exorbitant expenditure of resources without the beneficial end results.
To keep things moving in the right direction, IT automation initiatives must be continuously monitored. In the event that progress begins to wane, it can be wise to take a break and reevaluate the effort. Keeping people engaged in the process is the key.
IT automation can be a tremendous asset to an organization, but only if it’s planned, implemented and managed properly. By avoiding the five common pitfalls listed above, you can place your company in a much better position and improve your chances of long-term, sustainable success.