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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. As new customer engagement channels become popular and better speech and text analytics tools come into use, we are faced with an inexorable rising tide of available information.

Big data 102
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Digital Transformation in Retail Banks: Potential Impact on Brand Equity, Customers, and Employees

Beyond Philosophy

I’m capitalizing the first letter of each word because the pervasiveness of digital transformation has all the feel of Big Data a few years ago and Reeingineering in the 1990’s. It is also impacting financial service cultures, as it forces banks to shift from a largely product-centric perspective to a customer-centric one.

Banking 225
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4 AI Trends that will Transform the Telecom Industry in 2019

TechSee

This data is culled from devices, networks, mobile applications, geolocations, detailed customer profiles, services usage and billing data. Using AI, telecoms can implement self-service capabilities that instruct customers how to install and operate their own devices. With Gartner forecasting that 20.4

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Guest Blog: 5 Ways To Leverage Technology For A Better Customer Experience

ShepHyken

CRM tools are increasingly incorporating social media into their customer support modules. The mobile app experience seamlessly integrates with pioneering technologies like artificial intelligence, augmented and virtual reality and big data analytics to offer engaging experiences. This effect is more pronounced than ever.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product. Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools.

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Guest Blog: Why Does My Customer Service Team Need a Single Customer View?

ShepHyken

Over the course of multiple customer service interactions, this pool of customer data becomes an increasingly valuable asset. Having a full account of historical information and tools to help you get insight from it lets you tune your operations to provide intimate customer experiences. Challenges to achieving SCV.

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Millennial Generation Customer Service – The Ultimate Guide

TechSee

I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service. Support the DIY culture: Focus on consumer enablement and empowerment through self-service. With big data and advanced analytics readily available, companies can provide Millennials with the acknowledgement they demand.