VocalCom
AUGUST 26, 2019
Big data has been a buzzword in the customer service industry for some time now. As every brand knows, all data—big and small—can be applied in some manner to drive sales and improve customer service. Here are five essential big data sources to look at—and how you can use them to create exceptional customer experiences.
Contact Center Pipeline
MARCH 31, 2016
Our most-read blog post in March was Kathleen Peterson’s insightful look back at McKinsey & Company’s decade-old research into the impact of Moments of Truth on customer loyalty, and its relevancy in today’s multichannel environment.
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VocalCom
MAY 21, 2018
Big data can be used in many ways to provide proactive service. In addition, big data can help brands understand their customers’ habits, such as buying preferences. In addition, big data can help brands understand their customers’ habits, such as buying preferences.
VocalCom
MARCH 11, 2019
When companies use big data to analyze their customers’ habits and preferences, it’s often the structured, quantitative kind that is considered. Customer sales data and contact center KPIs such as the Net Promoter Score may provide valuable information, but such numbers reveal little about your customers’ feelings and expectations.
ShepHyken
JULY 8, 2022
Multichannel support may not be sufficient today. Unlike multichannel support, omnichannel combines all channels, such as SMS, calls, social media, and email to serve a single customer without compromising the brand experience. Predictive Analytics will help businesses to stay ahead and provide high-touch CX.
NobelBiz
MARCH 29, 2022
It is becoming increasingly prevalent and noticeable due to digital communication platforms that encourage multichannel interactions between customers and contact centers. Call Center Data management Even though big data is at the center of every brand’s digital transformation, you still need to know how to acquire and analyze it efficiently.
Avaya
MAY 9, 2017
It means enterprise leaders having a firm grip on the big data that infuses their organizations. Meanwhile, automation and data analytics have evolved from luxuries to enterprise necessities. It requires executive buy-in, sponsorship, and steady leadership. The reality of a smart, digital world is clear.
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