Ventana Research recently announced its Market Agenda in the expertise area of Customer Experience. For the past several years, many organizations have found it challenging to provide excellent customer experiences in the face of drastic technology changes and the ongoing pandemic. These challenges have highlighted for many decision-makers how strategic CX can be in differentiating from competitors. But it can also be a complex and disjointed effort that requires continuous investment in...
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
agent management,
Customer Experience Management,
Field Service,
customer service and support
Ventana Research is sharing insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Agent Management 2022 is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to customer experience vendors...
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
Product Information Management,
Digital Commerce
The 2022 Ventana Research Value Index for agent management software is published, offering interesting observations about how the market is advancing to provide more sophistication to agents and the management of them. The market is now characterized by applications integrated into multifunction suites, a significant change accelerated by the pandemic in the short term and vendor consolidation over a longer period. The core applications — workforce management scheduling, call recording and...
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
Product Information Management,
Digital Commerce,
Subscription Management,
agent management
The contact center is where much of customer experience management happens, but it is by no means the beginning or end of the CX story. Other departments, notably marketing and revenue, have a stake in what happens during the customer’s lifecycle. Whether it’s developing offers, orchestrating interactions or assessing behavior and intent, handling the complexity of the relationship requires a broad set of participants who are not always in alignment.
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
Customer Experience Management
Any organization that relies heavily on a large labor force looks to automation to reduce costs, and contact centers are no exception. They handle interactions at such large scale that almost any effort to automate some part of the process can deliver measurable efficiencies. Two factors have ratcheted up attention on automating customer experience workflows: the dramatic expansion of digital interaction channels, and the development of artificial intelligence and machine learning tools to...
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Topics:
Customer Experience,
Voice of the Customer,
Analytics,
Data Integration,
Contact Center,
Data,
agent management,
data operations,
Digital Business,
Experience Management,
Customer Experience Management,
Field Service,
AI and Machine Learning
When migrating their communications stacks to the cloud, many organizations come face to face with a quandary: do they emphasize the business phone system and gravitate toward a unified communications vendor? Or should they focus on the specific applications needed for running their contact centers and seek out a CCaaS vendor?
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
agent management,
Customer Experience Management,
Field Service,
AI and Machine Learning
When NICE acquired inContact in 2016, it began a transformation that saw it broaden its product offering and positioned itself to play a larger role in the contact center and customer experience industries. It was a prescient move, creating a firm that could supply end-to-end contact center functionality in the cloud. And it anticipated today’s market dynamic, in which NICE and its competitors are racing to define (and capitalize on) the post-contact center future.
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Topics:
Customer Experience,
Voice of the Customer,
Business Continuity,
Analytics,
Contact Center,
Data,
Digital transformation,
agent management,
Digital Business,
Experience Management,
Customer Experience Management,
Field Service,
customer service and support,
AI and Machine Learning
The age of digital communication platforms is upon us. The need has never been greater for an open and secure platform that satisfies the demand for enterprise-grade business and technology requirements. Overcoming today’s technology challenges is possible with a next-generation cloud-based delivery model that is both extensible and reliable. Organizations considering a digital communication platform can take decisive steps to ensure digital communications for everyone — inside, outside,...
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Topics:
Customer Experience,
Business Continuity,
Contact Center,
Digital transformation,
Digital Business,
Digital Communications,
Experience Management
The work environment today demands that your organization advances the efficiency to execute business processes for continuous operations to have a positive impact on business performance. The capability to be responsive to any range of minor to disruptive business events is required to support business continuity and level of organizational readiness to meet the needs of digital business. Ventana Research asserts that in 2025, one-quarter of organizations will remain digitally ineffective in...
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Topics:
Customer Experience,
Voice of the Customer,
embedded analytics,
Analytics,
Business Intelligence,
Cloud Computing,
Contact Center,
Data,
Digital Technology,
Operations & Supply Chain,
Enterprise Resource Planning,
Digital transformation,
natural language processing,
continuous supply chain,
agent management,
Digital Business,
Experience Management,
Field Service,
Process Mining,
Streaming Analytics,
AI and Machine Learning
When artificial intelligence emerged from the labs and vendors started offering it as a component of their software, many contact-center buyers shied away from it. From their point of view, AI and machine learning tools were new, expensive, relatively untested and had an uncertain use case. This stance was understandable, as contact center professionals are traditionally expected to be risk-averse when deploying technology into their operations. Contact centers are, by design, supposed to be...
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Topics:
Customer Experience,
Voice of the Customer,
Analytics,
Contact Center,
agent management,
Customer Experience Management,
Field Service,
customer service and support,
AI and Machine Learning