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A Life Sciences case study from the heart of Europe

Clarivate

I’m therefore particularly proud of this newly published case study where Gedeon Richter and Clarivate worked closely to transform regulatory workflow, connect data and improve decision making. Technology and regulatory consultants from Clarivate provided full support during Gedeon Richter’s transition into the tracking application.

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3 Tips to Improve Internal Customer Service Through Technology

Kayako

In today’s fluid job market, it’s essential to have quality customer service for internal audiences to retain your best employees and help them perform at their best. Fortunately, technology is transforming tools, such as help desk software, to provide excellent support to external and internal customers.

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5 rules for a highly successful customer experience implementation with amazing ROI! – A case study

Beyond Philosophy

On a recent podcast, we had a guest, Michél Patterson , a continuous improvement expert in Lean Six Sigma who has consulted numerous industries, including technology, freight forwarding, and even the Department of Defense. It could be increased market share, improved NPS, or higher customer retention. Rule #2: Measure.

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Case Study: Machine Learning vs. Natural Language Processing

Inbenta

With the latest strides in technology, there’s no acceptable excuse to continue using basic machine learning and keyword-driven algorithms as a substitute for modern, sophisticated natural language processing. The post Case Study: Machine Learning vs. Natural Language Processing appeared first on Inbenta.

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The Customer-Powered Enterprise Playbook

In order to win the market, organizations need to leverage their customers not only to inform their business strategy, but also to fuel it. Influitive calls this the Customer-Powered Enterprise—and it can benefit Marketing, Customer Success, Sales, Product Development, Employee Engagement, Developer Relations, and Partner Engagement.

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Case Study: Machine Learning vs. Natural Language Processing

Inbenta

With the latest strides in technology, there’s no acceptable excuse to continue using basic machine learning and keyword-driven algorithms as a substitute for modern, sophisticated natural language processing. The post Case Study: Machine Learning vs. Natural Language Processing appeared first on Inbenta.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

Traditional collection methods, such as persistent phone calls and letters, are making way for more nuanced, technology-driven, and customer-oriented strategies. This evolution reflects broader trends in consumer behavior, regulatory environments, and technological advancements.