Valuable Business Insights Improve IT Functionality
Overhaul your approach to IT provision with accurate and valuable insights which are produced in real-time.
Predictive analytics are already used to great effect across a wide range of industries to provide companies with valuable insights about their operations. In retail, for example, predictive analytics serve to identify patterns and trends in consumer activity, which can assist in forecasting potential buyer behaviour – if your customers prefer browsing your eCommerce site at the weekend, wouldn’t it be a great idea to offer them a loyalty discount beforehand? In finance, this type of intelligence is used as an important indicator of fraud, picking up on unusual payments and checking as to their validity to reduce financial loss. But predictive analysis is also a strategy that can be utilised in IT ops, by assessing data sets to improve the productivity of your service.
Progression of Analytics in IT
Although the collection of IT systems data is part and parcel of monitoring your network, the process has historically been significantly more longwinded than the techniques which are offered today. IT Operations Analytics, or ITOA is still used in some organisations, but previously it was necessary to manually export data sets out to analytics tools such as PowerBI, from where data scientists would be tasked with gathering meaningful output from the information. The aim of this was to make predictions which could be of value to this business, however, this could often take weeks to accomplish.
Real-Time Analysis of Data Sets
The processes involved in predictive analytics are now much more streamlined. IT teams can benefit from the use of advanced monitoring systems which collect and integrate the data in real-time, computing it into valuable and readable output, all in real-time. Not only does this make predictive analytics more accessible and user-friendly for companies, but it’s also affordable for smaller businesses too. Some of the top benefits of using predictive analytics as part of your IT ops include:
- Monitoring Storage Volumes – the loss of your storage array can spell disaster for your business, which is why it’s imperative to have any downtime forecast well ahead of time. If a trend shows that your storage is growing outside of your predetermined acceptable range, then this will give your IT teams chance to research the cause and take corrective action before the loss of your systems.
- Assessing Cloud Performance – if your company has migrated to the cloud, then you’ll already be noticing the speed, security and performance benefits of having made the switch. However, not all cloud providers are created equal, which is where predictive analytics will allow you to compare the performance of multiple cloud settings. This will give you the opportunity to monitor and assess how your workloads perform in different cloud environments which will influence your business decisions.
- Optimising Your Containers – if you need to monitor performance across a microservices environment, then it can be useful to review the data not from individual containers, but as a collective. From here, you’ll be able to notice any trends across your container environment and pick up on any trends which could allow you to boost performance.
Predictive analytics is still in its infancy within IT ops. Currently, the focus is on improving IT performance and assessing the risk of downtime or system failures. However, the technology is advancing rapidly so IT leaders will soon have the ability to make accurate estimates about how much storage needs to be provisioned as well as predicting common application scaling patterns.