Important Business Intelligence Tools for the Contact Center

In order for the contact center to meet (and exceed) performance goals, the right business intelligence (BI) tools and technologies have to be in place. BI tools help contact centers improve and optimize their processes in order to heighten their success rate. BI digs deeper into the data you’re already collecting to find ways to relate your findings to the customer experience and, in turn, improve customer retention.

Aggregate Analytics

Aggregate analytics, also referred to as big data, deliver information about the contact center’s overall performance. Both structured and unstructured data is organized and delivered via an “at a glance” dashboard, or something similar. The key is to have only relevant data included so that supervisors don’t have to wade through inapplicable data.

Call Recording Tools

Speech analytics tools – a long-time staple of the modern contact center – accurately transcribe conversation audio to ensure that agents are adhering to a script or guidelines when speaking with a customer. In industries that have strict rules about what can and cannot be mentioned (like collections, for example), speech analytics are even more important than usual. Certain advanced call recording tools will allow for Voice of Customer considerations, too. Real-time feedback, call coaching and customer surveys enable supervisors to make decisions that can improve the customer experience in-the-moment.

Predictive Voice Analytics

Predictive voice programs not only record agent-customer conversations, but also use them to make predictions about how both parties will respond. Emotional changes in the agent’s vocal features can determine if the agent is speaking in an appropriate way to the customer, while emotional changes in the customer’s voice can determine a variety of outcomes, like if they’re likely to become a regular customer.

Selling Recommendations

BI tools can increase revenue by recommending up-sell and cross-sell opportunities to the agent in real-time. By considering the customer’s purchase history and buyer persona, combined with predictive voice analytics, the dashboard can alert the agent when a selling opportunity presents itself. Not only is it easier to sell to customers with a strong purchase history, but BI tools can also determine which products and services will be of most interest to the customer.

The contact center is generating helpful information every single minute. Data is regularly being collected, sometimes passively. With BI tools, supervisors can gather and review all pertinent data to see where improvements can be made.

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