8 March 2017
2 min read
Predictive analytics applications bring together two facets of IT that were made for each other: analytics and automation. The former is simply the task of aggregating and intelligently organising data, while the latter turns the insights gained from organised data into an ongoing process that doesn’t need human interaction.
In other words, it allows us to learn from the massive amount data flowing through our environments while freeing us up to focus on different, more complex tasks.
If you’ve ever viewed your IT environment as a minefield of servers and wires, here are a few ways predictive analytics can be used to streamline, simplify and supercharge your data into something practical.
Protecting your social life
We’ll start our tour of analytics applications with one of the most practical implementations in modern IT. Imagine this scenario if you will: You’re scouring your vendor’s website for a new server to accommodate an influx of new starters. Karen from finance arrives and there’s been an unexpected change to your budget and the new server isn’t a viable option anymore. Wouldn’t it be better to avoid this kind of situation?
Thanks to predictive analytics and automation, you can. By utilising modern printing platforms, for example, entire printer fleets can be automatically optimised based on printer use data. In doing so, ink, paper, and energy costs can all be streamlined and IT costs go down. You’ll never get caught out again.
Following the theme of tackling IT resources in an automated, predictive manner, allocating the very CPU, network, and storage resources our environments depend on is another great candidate for these analytics applications. In this scenario, we can leverage the already impressive streamlining abilities of modern hypervisors and marry them with the foresight of predictive analytics.
Harvard Business Review recently described the benefits of combining these analytics with IT. They discuss an environment that utilises cutting-edge infrastructure, including the Internet of Things, to constantly monitor any number of environmental variables. When analysed over time, this data can provide integral insight. This includes disk monitors that can predict the lifespan of critical storage, software defined monitors that allow virtual resources to be scaled with greater accuracy, and network monitors that make infrastructure planning more effective.
A human touch
While predictive analytics applications can clearly handle the management of cold, calculating virtual resources, it excels equally well when it comes to warm-blooded resources. A recent article by CIO highlights some ways that automation can make all the difference when it comes to IT planning. As it relates to human resources, predictive applications can utilise well-documented ticket and time tracking systems to form intelligent management decisions. These decisions come in the form of prioritising individual tickets and projects, along with the living, breathing people associated with them. As these analytics begin to reveal trends in ticket data, IT staff can be automatically assigned to tickets based on experience, past performance, and ticket priority. Seasonal trends can also be used to predict changes in future staffing needs to pave the way for more informed IT planning. Predictive analytics is a powerful tool, and when combined with automation it makes our jobs easier and more efficient. Interested? Discover more about how HP’s managed print services can help you.