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How data analytics can enhance customer service

Eptica

Date: Monday, January 17, 2022 Author: Pauline Ashenden - Demand Generation Manager How data analytics can enhance customer service. What types of data should you focus on, and what are the main benefits? You might also be interested in these posts: 6 keys to success for outsourced customer service providers.

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How to Use Data Analytics to Improve High Roller Casino Customer Service

CSM Magazine

In the highly competitive casino world, exceptional customer service is crucial for attracting and retaining high-value customers. These VIP patrons demand a personalized and seamless experience, and casinos can meet these expectations by leveraging data analytics.

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Cutting Through the Buzzwords of AI in the Contact Center

CCNG

When we read the line “Some companies are already making the most of blockchain technologies for more robust security and efficiency within financial transactions and data handling, but digital transformation is vital for brands to unlock all they can deliver for their customers.” What role does Analytical AI play in contact centers?

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The Power of Data Analytics in Contact Centers: Driving Insights and Improving Performance

CCNG

With the advent of data analytics, these centers are not just handling customer inquiries; they are also becoming a goldmine of information that can revolutionize decision-making processes and enhance overall performance. The Impact of Data Analytics in Contact Centers: 1.

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Executive Report: The Customer Data Too Often Overlooked by the C-Suite

A recent Calabrio research study of more than 1,000 C-Suite executives has revealed leaders are missing a key data stream – voice of the customer data. Download the report to learn how executives can find and use VoC data to make more informed business decisions.

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How to Know What Your Customers Want

ShepHyken

Never assume you know what your customer wants without looking at data. Even the most passionate organizations can misinterpret customer behavior, so always rely on data to make decisions. Embrace continuous improvement. Use data to understand customers’ digital behavior.

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Are Automation and AI the Same Thing in the Contact Center?

CCNG

You can program them or simply have them fetch the data to implement in your contact center. This is an example of static data. Where AI can help your self-service option is by learning from customer inquiries as you go. Possibly you have customer and conversational data already. Let’s take modern chatbots for example.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Study: The Health of the Contact Center

What does it take to engage agents in this customer-centric era? Download our study of 1,000 contact center agents in the US and UK to find out what major challenges are facing contact center agents today – and what your company can do about it.

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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.