2. Contextual Data Analytics Enhances CX
Contextual data analytics enables personalized experiences in which an agent receives detailed information specific to a customer. For example, it might know which airport customers typically fly out of, that they usually do not check a bag and what meals they prefer, Dhingra says. Such information can make for easier communication when customers want to change a flight.
Customer service requests should be resolved proactively and quickly, Dhingra adds. That means not putting callers on hold or making them repeat themselves. The contextual information that data analytics tools offer can help avoid unneeded conversation.
“I think that data fabric and the sharing of all the metadata associated with communications helps make an organization much more efficient,” Martin says.
Customer relationship management tools can also provide context for customer calls, according to Martin.
Dhingra adds, “The agent might know the customer’s most recent purchase. The agent might know there was a delay in the order. All of those things, from a data analytics point of view, can help deliver a better, personalized experience.”
CONSIDER: Three trends in healthcare contact centers that can improve patient experience.
3. How AI and Automation Improve CX
When healthcare organizations use manual processes, patients can become frustrated due to slow workflows and greater number of errors. Automation can improve productivity and reduce the risk of mistakes.
“When you talk to a human, that human will have more information to personalize the experience for you, because the AI solution can look at previous interactions, see patterns, predict what somebody might be reaching out about and equip the agent to deliver a better experience,” Dhingra says.
AI tools can now listen in on voice and digital interactions, observe what is being typed and provide suggestions to agents on next steps, Martin says.