contact center workforce Feedback Gamification Trends 
DMG Consulting
DECEMBER 10, 2019
DMG Consulting Releases 2019 Contact Center Workforce Optimization. Who: DMG Consulting LLC, a leading provider of contact center, back-office and real-time analytics market research and consulting services. What: Releases 2019 Contact Center Workforce Optimization Mid-Year Market Share Report.
DMG Consulting
JUNE 12, 2019
DMG Consulting Releases 2019 Contact Center Workforce Optimization Market Share Report. Who: DMG Consulting LLC, a leading provider of contact center, back-office and real-time analytics market research and consulting services. New-gen solutions are the future of this mature sector. compared to 2017.
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Noble Systems
AUGUST 8, 2019
Contact centers have been hiring increasing numbers of work-at-home agents in recent years and it looks like this trend is expected to grow. According to the National Association of Call Centers, over 50% of contact centers in the United States tout that some percentage of their agents are now working from home.
DMG Consulting
MAY 25, 2018
DMG Consulting Releases 2018 Contact Center Workforce Optimization Market Share Report. Who: DMG Consulting LLC, a leading provider of contact center, back-office and real-time analytics market research and consulting services. New-gen solutions are the future of this mature sector.
DMG Consulting
MARCH 31, 2017
DMG Consulting Releases 2017 Contact Center Workforce Management Product and Market Report. Who: DMG Consulting LLC, a leading provider of contact center, back-office and real-time analytics market research and consulting services. When: Today, 21 March 2017.
DMG Consulting
APRIL 15, 2020
Background: DMG Consulting LLC , a leading provider of contact center, back-office and real-time analytics market research and consulting services, today released its 2020 – 2021 Workforce Management Product and Market Report. Today’s WFM solutions are evolving to keep pace with the changing business world.
DMG Consulting
APRIL 16, 2019
of capturing feedback from customers. Using data mining, statistical techniques, and machine learning to identify relationships, patterns, and trends, a predictive model can be built to anticipate future events or behaviors, as well as their potential business impacts.
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