Remove 2017 Remove Analytics Remove Big data Remove Personalization
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Fonolo Investigates: How Retailers are Using Customer Data to Gain a Competitive Advantage

Fonolo

Back in 2017, The Economist boldly declared that “The world’s most valuable resource is no longer oil, but data.” Big data is now used to address an increasing variety of business problems, from product launches to fraud and compliance. Achieving this data-centric approach to CX may sound quixotic.

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5 Top Customer Service Articles For the Week of December 12, 2016

ShepHyken

(Boomtrain) Artificial Intelligence, machine learning, and big data analytics have been around for a while in the B2B world. Creating Moments of Wow Predictions for 2017 and Beyond by TeleTech. TeleTech) Memorable. Surprising.

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How AI can deliver a personalized and predictive customer experience

Eptica

Date: Wednesday, September 20, 2017 How AI can deliver a personalized and predictive customer experience. Published on: September 20, 2017. Author: Vincent Giraud Customers are ever-more demanding, and want fast, high quality and above all personalized service from the organizations that they deal with.

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Technology Based Solutions to Enhance Customer Retention Strategies

TechSee

For example, if a company began 2017 with 50,000 customers and lost 2500 over the course of the year, the churn rate would be 5%. McKinsey reports that a comprehensive, analytics-driven approach can help telecom companies reduce churn by as much as 15%. Personalization – Evergage.

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Reality Check: Will Customer Journey Analytics Be the Next CRM?

DMG Consulting

Reality Check: Will Customer Journey Analytics Be the Next CRM? The up-and-comer is customer journey analytics, or CJA, and it’s in the ring with the incumbent, CRM. CJA is succeeding in driving investments in journey mapping and analytics to help companies understand what their customers and prospects are doing at every touch point.

CRM 48
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5 Top CX Trends For Survival in the Age of the Customer

360Connext

What are some of the customer experience trends we’ll see through the end of 2017 and into 2018? This means instead of having the “customer experience person,” they have full teams of specialized people. Soft Data is Perfectly OK. Robust analytics platforms aren’t going anywhere.

Banking 124
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The State of the Bot Going Into 2018

Aspect

What happened in 2017, and what will 2018 bring? Most contact centers go through a formal RFP/tender process for new investments, and because chatbots got lots of mainstream media attention in both 2016 and 2017, budgets have indeed formed in 2017. The result will be more personalized and productive interactions.

Chatbots 116