Analytics Big data Call Center Multichannel 
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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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. In the contact center sector, customer engagement is one of the strategic objectives of many companies today.
VocalCom
MAY 21, 2018
Big data can be used in many ways to provide proactive service. For example, it may reveal weak points in the contact center such as long average handling times or low rates of first contact resolution. 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.
Avaya
MARCH 23, 2017
This next-generation CX is supported by several advanced technologies—big data analytics, omnichannel, automation—however, these investments are all aimed at driving one thing: contextualization. In today’s smart, digital world, companies must transform the traditional call center into an integrated, digital communications hub.
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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