Behavior analytics can be used in a number of different ways for a company or organization’s improvement. Behavioral analytics is essentially an analysis on data that is collected from users; so whether you are a fashion boutique marketing manager analyzing how your consumers behave on your website, or an IT department examining how employees act while connected to the network, behavior analytics helps you better understand users.
Behavior analytics is being used in a growing number of enterprises and organizations. They’re using the advancement to help detect and prevent insider threats. Through machine and adaptive learning, behavior analytics allows organizations to detect when users are behaving ‘abnormally’ and may be putting the organization at risk. Behavior analytics, when coupled with other aspects in cyber security, serve as a great way to help keep organizations safe, but that’s not their sole purpose.
Analysing user behavior while connected to the network allows line managers, directors and CEOs to see the processes their employees take in order to complete their tasks. This insight is not merely an opportunity to assess employee productivity, but rather to better understand where employees can work seamlessly and where there may be limitations that are causing issues, and essentially slowing things down. This kind of insight into a company’s operations offers an innovative approach to better understand how the ‘cogs’ of the organization turn, how people reach their targets and what they do to bypass limitations.
On a one-to-one level, this kind of insight provides data for conversations that may already be taking place between employees and managers: for example a slow piece of software or an unnecessary piece of software that is considered fundamental, but in fact is just time consuming. The analysed data to back these conversations allows managers to take their discussions with employees to their directors or leadership and discuss new opportunities that can help improve the organization’s work processes and consequently the profitability.
For consumer facing organizations, behavior analytics offers insight into how employees interact with consumers, and which kind of interactions are most effective. This kind of deep analysis provides leadership teams to see what actually works, and how to improve upon what works, and what to remove that which doesn’t. Collecting data over time, from both consumer and employee sides, organizations can then plan engaging and strategic messaging, track trends over times, measure the impact of the strategy and implementation and finally fine tune based on real data.
Behavior analytics is powerful because it’s qualitative data collected from the human mind, and it’s essentially for employers and leaders to remember that when reviewing the data. Human workers perform differently depending on a number of different factors, some of which are controllable and some of which are not. By analysing behavior in terms of operations, employers can then implement new trends or opportunities to improve and strengthen operations in order to boost the overall profitability.