Remove Accountability Remove Big data Remove Journey mapping Remove Management
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Performance Management Bridges the Divide Between Big Data and Big Knowledge

Aspect

There is information everywhere: in your ACD , WFM, CRM, quality management, recording, surveys, speech analytics and self-service systems. That’s exactly what Performance Management (PM) does in the contact center, but it’s a long road from information to knowledge.

Big data 102
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Top 5 Customer Service & CX Articles for Week of April 29, 2024

ShepHyken

For context, these are the customers who continue to buy from you over and over again, and should account for the majority of your total sales. This article includes five ways to manage the VIP experience, and of course, there’s technology, personalization, and more. Years ago, the term “Big Data” became popular.

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Leveraging Big Data to Fine Tune Customer Experiences

Avaya

Whether you realize it or not, big data is at the heart of practically everything we do today. In today’s smart, digital world, big data has opened the floodgates to never-before-seen possibilities. Making Customer Journey Analytics Work for You. Ensure continuous improvement.

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3 Ways to Use Big Data to Improve Customer Service in Your Call Center

Talkdesk

Oxford defines “big data” as “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.” Big data is of special interest to businesses that wish to gauge their consumers’ preferences and ideas regarding customer service.

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New Trends in Customer Success You Need to Know About

Totango

One of the most exciting new trends in customer success is the emergence of out-of-the-box solutions that allow you to automate the implementation of optimized customer journey maps. This technology provides you with pre-designed templates for each stage of your customer journey, from lead acquisition to retention.

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How to Bring Agile Innovation to Customer Success

Totango

When agile methodology is imported to a customer success context, it serves to optimize collaboration between success management teams and clients in order to deliver clients better outcomes aligned with their goals. Making CS management more responsive to real-time conditions. Making personalized customer success management scalable.

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QBR in SaaS: Is the traditional QBR dead?

Totango

QBRs in SaaS usually involve business clients, particularly clients with larger accounts, requiring more attention. Success managers and clients may use previously established KPIs to evaluate current performance and discuss which KPIs and target numbers would be appropriate in the future. Why Are SaaS QBRs Important?

SaaS 98