Analytics

Many companies measure operational health by evaluating the productivity of their customer support teams. They track the number of emails sent, product demos booked, and tickets closed, focusing on the sheer volume of tasks completed. 

These activities are crucial for determining whether employees are performing well, but they only tell part of the story. To truly understand the impact on customer satisfaction and long-term success, companies must look beyond these metrics and measure the quality of customer relationships.

Insider threats can be challenging to deal with. Their prominence demands attention, but they can be hard to identify, and businesses don’t want to interrupt people’s work because of false positives. User and entity behavior analytics offers a solution.

What Is Behavior Analytics?

Behavioral analytics is a subset of machine learning focused on identifying how users or devices tend to act. In a security context, that means setting a baseline for normal behavior to detect suspicious activity.

Customer experience is tricky, but you can clear the way to success with the right metrics. Zero in on the essentials — like customer satisfaction and churn rates — to discover how likely buyers are to return or spread the word about your business. By understanding these key performance indicators (KPIs), you can find key strategies to take your customer experience to the next level.

E-commerce grows more competitive every year as additional retailers–big and small-enter the online shopping sphere and have a presence online. All the noise means consumers may not stay on your site long if it isn’t geared 100% to meet their expectations. There’s a competitor right around the proverbial cyber corner just waiting to take your place.

Enter analytic technology, which helps figure out what people’s shopping habits are and what they most need from your site. If you can create an engaging shopping experience that meets customer expectations, the chances they’ll buy from you are much higher than if you just throw a site up and hope for the best. 

Machine learning and artificial intelligence (AI) has already started changing business interactions. As connectivity improves through 5G networks and faster mobile devices, expect even more changes in the coming months. 

AI is changing the way companies function. While some jobs will go away, they’ll be replaced with others more technologically advanced in nature. Companies have an opportunity to train their top workers and take the entire firm into the new technology age at the same time. 

Every year industry pundits predict data and analytics becoming more valuable the following year. But this doesn’t take a crystal ball to predict. There’s actually something much more interesting happening that’s going to change everything in the analytics world: the rise of a new hero, the software developer.

If the past is any indication of the future, then what we are seeing is a major transformation unfolding across every industry: a changing of the guard, so to speak, of the ones who are creating value from data.