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A guide to call center analytics

Last updated:October 2013

Editor's note

Customer service has always been an essential part of any organization, but with the progression of technology and the advent of social media, keeping a customer happy is more important than ever before. A customer can take to Twitter or Facebook and praise a company's services, potentially bringing in more customers -- or they can use the same media to blacken a business' reputation. And with mobile technology, customers can write and publish a good or scathing review while they are still standing in line. The old adage "Any publicity is good publicity" doesn't apply in the business world, and organizations are recognizing a more urgent need to keep customers satisfied.

Part of keeping customers happy is anticipating their needs, and call center analytics can do that and more. For instance, speech analytics can enhance call center representatives' performance by identifying knowledge gaps and areas that may require more training. Speech analytics can also optimize call-handling times and improve first-contact resolution. Another example is automated customer engagement. Depending on the type of business, customers can receive order status and delivery notifications; appointment reminders; and even flight information via voicemail, email or text.

This guide describes different types of call center analytics, recent trends and innovations, and gives advice on how to choose knowledgeable vendors to help your organization with its call center analytics needs.

1What's new in call center analytics

Call center analytics comes in many forms, but it has to keep up with the latest technological developments to remain effective. For instance, social media has generated social big data, and because of its size, a new analytics approach is needed to extract it. Similarly, such established call-center processes as field service management can be given new life with the addition of analytics applications, such as predictive analytics. This section describes some of these call center analytics trends.

2Call-center analytics and the customer experience

Call center analytics has personalized the customer experience by analyzing customers' voices so representatives can respond to their moods accordingly, by drilling into customer data to become familiar with customers' purchases and by using the information to more precisely anticipate what each customer wants from their services. But although many organizations are reporting happier customers, when is call center analytics too invasive, and how can businesses avoid crossing that line?

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