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Be Warned: You Can’t Rely On Big Data!

Beyond Philosophy

The concept of a customer’s journey is nothing new – we have been offering journey mapping in our customer experience consultancy for years. And linking data points throughout a journey is a step in the right direction. But I have a big problem with Big Data. Either one can destroy value.

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Performance Management Bridges the Divide Between Big Data and Big Knowledge

Aspect

Every organization has strategic business objectives for which C-level executives are accountable. The post Performance Management Bridges the Divide Between Big Data and Big Knowledge appeared first on Aspect Blogs.

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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. Years ago, the term “Big Data” became popular. I came up with the concept of “Micro Data,” which is about very personalized information about a smaller set of customers.

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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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QBR in SaaS: Is the traditional QBR dead?

Totango

QBRs in SaaS usually involve business clients, particularly clients with larger accounts, requiring more attention. In addition to relying on outdated data, the traditional QBR model fails to take advantage of the latest tools for agile innovation in digital technology, AI, and big data analytics.

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How to Bring Agile Innovation to Customer Success

Totango

An agile approach brings the full power of big data analytics to bear on customer success. This provides transparency and accountability and empowers a data-driven approach to customer success. You can define KPIs for any stage of the customer journey , including onboarding, adoption, and expansion.