Business intelligence tools enable quick decision-making by giving leaders access to valuable, high-quality data in real-time.

Your business probably interacts with hundreds of customers across various communication channels every day. Each interaction holds a vast amount of data regarding your customer’s concerns, expectations, and even about how satisfied they are with your service. Interaction analytics (IA) helps you analyze all this unstructured data to personalize service and avoid negative interactions. In this article, we’ll explore what interaction analytics is and how it can benefit your company.

Today, most call centers use data analysis tools to get an overview of their business processes and improve decision-making. But advanced technologies like call center predictive analytics go beyond that and can help you predict future events. These predictive insights will help you improve service quality, agent productivity, and operational efficiency. Imagine the possibilities!

So, you’ve just noticed a spike in your data. Maybe your trendline looks something like this? Or if you’ve caught it early, it might even look something like this: Now, obviously, I have no way of knowing if your y-axis represents something really good (like new customers) or something really bad (like system errors). And depending on which it is, you may be feeling a strong urge to pop the champagne or hit the panic button.

No matter how impressive your marketing plan may be or how incredible your deliverables are, a marketing campaign that isn’t keeping track of the right marketing metrics or KPIs will never be able to back up all of the good work it’s doing. Although it isn’t possible to monitor every metric, there are a few bankable ones that can be applied to all types of marketing campaigns.

It’s no secret that customer experience (CX) can significantly influence your brand image, customer loyalty, and bottom line. And with customer experience analytics, you can better understand how to improve the customer experience. You’ll gain insights into the customer’s point of view, experience, and what pain points they face with your offerings. In this article, we’ll discuss the top 3 benefits of customer journey analytics and how to analyze customer experience.

As Miro is used for more and more use cases across a growing number of teams and organizations, IT and security leads need better visibility into what is happening within Miro. With these users in mind, we are constantly improving the ways we empower teams to monitor user activity, identify suspicious behavior, and make data-driven decisions in real-time. That’s why we’ve chosen to partner with Splunk, the Data-to-Everything platform that helps businesses manage and protect their data.

I recently had the pleasure of hosting a webinar with the team over at Rudderstack. It focused on Data Engineering and managing dynamic schemas at scale. More specifically, Rudderstack-generated, dynamic schemas at scale. This blog will discuss the tools, software, and methods to do just that.

Data analysis is critical for all employees, no matter what department or role you work in. Whether you’re a marketer analyzing the return on investment of your latest campaign or a product manager reviewing usage data, the ability to identify and explore trends and fluctuations in your data is an essential skill for decision-making. Unfortunately, many companies today struggle with data organization and analysis.