Teams | Collaboration | Customer Service | Project Management

At your CTO’s request, you recently started researching how to go about revamping or building your product’s notification system. You realized the complexity of this project around the same time as you discovered that there’s not a lot of information online on how to do it. Companies like LinkedIn, Uber, and Slack have large teams working just on notifications, but smaller companies like yours don’t have that luxury.

A great customer experience features efficient and personalized interactions at each step of the buyer’s journey. But in order to achieve this, companies need a way to quickly analyze customer data and act on it. According to the Zendesk Customer Experience Trends Report, businesses that leverage customer data see 36-percent faster resolutions and a 79-percent reduction in wait times; they also solve four times the number of customer requests.

It’s no secret that tracking your employees’ time and attendance can help you optimize workflows and grow your business quickly. And due to remote work, cloud-based time and attendance systems have been gaining traction. Besides offering powerful time and attendance management features, these tools are also easy to set up and maintain, making them suitable for all types of businesses and teams.

As a provider of a Unified Service Management Platform, Vivantio allows you to seamlessly switch on integrations with virtually any other essential business application for a holistic view of your customers. Whether it’s JIRA, Active Directory or, as we will show you today, Microsoft Power BI, you can easily use these tools in concert with each other to get the data your team needs.

Employee sentiment and satisfaction are just one part of the larger picture. Find out how to measure and improve the employee experience as a whole.

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!