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Some KMS can be integrated with a CRM and other software platforms Analytics and Insights: Basic knowledge bases may track how often something is accessed, KMS platforms go further. Vicki Brackett is a contact center industry veteran, a long time CCNG member and regular contributor in member programs and events.
Recently CCNG members and area contact center professionals were invited to the Alcon North America Customer Service Operations Center in Fort Worth Texas for a group discussion into Alcon's journey of digital transformation over the years. Below are some of the highlights shared at the event as provided by a CCNG member in attendance.
Speech analytics emerges as an effective solution to automate this analysis process. This article will explore the basics of speech analytics, including its definition, functionality, types, and primary use cases within call centers. What is Speech Analytics? How does Speech Analytics work?
Without strategic analytics, multiple data sources can create their own set of challenges on top of the ones they are meant to solve. Add the analytics in and you can customize all the nuances of a user's journey to move them in more effective ways. are long-time contributors in the CCNG community. Both Vince and IV.AI
Speaker: Roger Lee, Director - Customer Success, Gridspace
Join Customer Contact Central's site partner, CCNG, for this discussion in which Roger Lee, Director - Customer Success for Gridspace, will share his thoughts on how to utilize machine learning speech analytics to provide agent assistance to improve both the employee and customer experience.
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. Considerations When Implementing Data Analytics: 1.
This shift is driven by advancements in AI, automation, and data analytics, which are reshaping how businesses engage with their customers (McKinsey). Immersive Customer Experiences Technologies like IoT, augmented reality, and real-time data analytics will create smarter, more personalized interactions.
These are great analytics tools that help you understand the intent of your customer and more. Thanks to CCNG member InflowCX for sharing these insights and assisting CCNG members over the years with tech insights and experience. then implementing a data gathering tool like Observe.ai or Call Journey is a good first step.
Ranging from the intricacies of AI-driven personalization to the influential real-time analytical capabilities shaping proactive decision-making, these trends not only redefine operational structures but also signify a monumental shift in how contact centers engage with customers, aiming to provide unparalleled experiences.
Speaker: Roger Lee, Director Customer Success, Gridspace
We’re ready to help you evaluate the right speech analytics solution for YOUR organization. Join us on October 10 to learn all you need to know about Speech Analytics from the bottom up.
The discovery of a cryptic scrawled … Continue reading Speech Analytics: Magic, Mystery or Method? The butler did it – no, that’s too obvious – okay, it has to be the shy and beautiful parlor maid; maybe.
Numerous disparate systems generate perpetual flows of valuable data — the analytic raw material that can yield truth and intelligence about your people, performance, processes, culture and more. Once in place, establish a data management and analytics assessment program to identify data challenges and coordinate and prioritize projects.
CCNG is working through our network of colleagues and resources to help share information, insights, and ideas on maintaining strong customer care, employee support, and business continuity during this challenging period. These articles and resources offer specific starting points we hope you’ll find helpful. Business Continuity , CX Central.
This is where CX analytics plays a vital role. By analyzing and interpreting customer data, CX analytics delivers factual insights that allow companies to personalize their support services – they become better equipped to address customer needs and pain points.
Three – Early Adoption of Data-Driven Decision-Making: Long before the term “data-driven” became popular, WFM teams have relied on data and analytics to optimize call center operations. And that’s a strategic advantage! Let’s work together to elevate the role of WFM and drive positive change within our organizations.
If your platform produces amazing forecasts but no aligned schedules, then you likely have a data analytics platform and not a WFM platform. You want your scheduled number of agents to increase as your volume increases, and you want schedules to decrease as volume decreases.
Eric Berg is a CCNG Academy member with a consultant focus on Contact Center Technology and Work at Home. Bringing in a consultant allows you to be educated on the functions and features that are available. Eric has been in the contact center industry over 25 years and is founder of ContactCenterPRO Consulting.
It bridges the communication gap between finance and customer service, and the gap between WFM software, analytics and the financial contributions of the Contact Center. Robert Bradshaw is Founder / President at WiserOwl LLC and a CCNG colleague and advocate.
Joe Fernandez started Klout (a website and mobile app that used social media analytics to rate its users according to online social influence) that sold to customer experience technology company Lithium in 2015.
You can give them credit for a particular slide, for the analytics in the graph, or even the illustration on the slide if it’s really creative. Another approach is to choose someone that you would not normally ask to collaborate with. Work on the project together, and give them specific acknowledgment as you both are presenting.
By rapidly embracing digital tools like AI, Analytics, and Automation, contact centers are completely changing how they function and deliver customer experience. For the past several years Patrick has been an active CCNG member offering insights and perspectives to the benefit of his peers. from 2022 to 2030.
David Hadobas CEO, CCNG. About David Hadobas : David started CCNG in 1991, recognizing limited resources for information among contact center /customer care management. CCNG’s mission to provide a community for member-driven agendas, topics, events and conversations provides true peer learning for contact center management.
Next in line, there was a 5-way tie for the following capabilities: Omni Channel, Speech Analytics (word or sentiment recognition), Proactive Notifications, Chat Bots, and Intelligent routing to match best agent for each call. Finally, we asked about what people are planning to add in the near future.
Categorize the solutions available as generative or analytical (see below). When you implement analytical AI like conversational analytics, this enables you to listen to what your customers are telling you. AI does not need to be difficult when you follow a simple formula. Match the symptom to the solution. Rinse and repeat!
On the customer side, you have improved personalization , more effective chatbots, increased automation, customer sentiment feedback analysis and more. Operationally, tools like predictive analytics powered by machine learning are changing the game.
AI technologies such as Agent Assistance and AI-augmented Quality Analytics allow agents to get the help they need in real-time without having to call for help. With such a large variety of potential encounters your CX team may have, this enables you to equip employees to deliver outstanding customer experience more effectively.
(Gartner, 2022) Over 50% of CX professionals say their organization is planning to use predictive analytics and artificial intelligence ‘somewhat’ or ‘significantly’ more than they were doing so last year. 44% of respondents’ organizations plan to use journey analytics more, as well.
There are many types of AI, however, 95% of AI is being utilized effectively and most of the innovation in the contact center is based on Generative and Analytical. Analytical AI analyzes large amounts of data and processes quickly, sometimes in real-time, and creates actionable insights from that data.
As an example, a large global travel client used analytics to improve self-service, reducing customer contact volume by as much as 30%. They can extract valuable insights from this data, aiding in decision-making and offering predictive analytics for clients.
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