Have you heard about the new buzz term in analytics, “Deep Learning”? Although it might seem like some obscure, abstract addition to the already cluttered analytics space, Deep Learning is actually more of a combination of other analytics methodologies that tries to accomplish something better.
Blockchain technology has been all over the news recently. With the explosion of bitcoin usage for digital transactions, blockchain is required to track and verify every transaction made.
After a sale, it is critical to ensure every touchpoint with the customer is handled skillfully. It is only possible to understand and improve a customer’s journey by tracking key customer metrics and run analytics. Organizations that know how to identify such gaps in the service provided using analytics, to further enhance customer satisfaction, reduce churn, increase revenue, and greater employee satisfaction, will see the rewards.
Customer service is essential to any organization, especially for product-based companies offering support to customers around the clock. When an organization offer such services, it becomes pertinent to keep the customers happy and that is only possible if the call centre operation is fully optimized. Now, the question is what makes a customer happy?
