This article is contributed by JSCharting.
Improving Customer Experience (CX) with Data Visualisation (DV)
|A dashboard created by using JSCharting Library|
Analyzing Product Performance
Understand Data Consumption Objectives
When and Why?
Creating a Mobile First Design
Customer analytics shows that mobile first leads to greater customer engagement and longer visits.
|JSCharting Responsive Dashboard|
Identify Customers with recurring issues
Another goal of a designing a better customer experience is to identify customers who are experiencing recurring issues. It is done in order to separate them from the rest of the customer interactions.
Teams can attach unique codes to these individuals to keep track of their issues throughout their interaction with the company. Data visualization can help identify this data from other normal interactions and can help make it easier to communicate these customers individually and let them know the status of their problem.
Visualization can also help later use this data to solve other recurring problems which enhances customer retention. Data Visualization is gradually becoming an integral part of company operations
as means to understand big data. Nowhere is it more needed than in dealing with customer service complaints. This data has to be available in real time and analytics tools help to ensure that high priority customers don’t get missed.
This enables customer service professionals to handle their interactions with customers in a better way, reducing response times, and providing more transparent communications.
Customer experience is key to modern business and Data visualization is a critical component to deliver consistent customer experiences. From the customers own interactions with charts, that enable quick actions, to employees and agents tools managing those customers in the most efficient way possible, many aspects of one’s business can be improved through leveraging these tools.