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        Analyst Perspectives

        On its website Panviva describes itself as providing “business process guidance,” which is a phrase I was notfamiliar with. As I searched the site, I found messages such as”it’s all about customer experience,” “the right information for the right person at the right time” and “navigating complexity.” All of these describe issues contact center agents face on a daily basis, and I concluded that Panviva competes in a space I track. My benchmark research into the agent desktop and its impact on...

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        Topics: Customer Experience, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Business Process Management, Call Center, Contact Center

        My benchmark research into the smart agent desktop finds that in nearly two-thirds (65%) of companies, contact center agents have to access multiple systems as they try to resolve customer interactions. These range from channel management systems (such as telephone, email, text messages and social media) to business applications (such as CRM, ERP and knowledge management), performance dashboards and analysis, and messaging systems. Having to use all these systems leads agents to make mistakes,...

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        Topics: Sales Performance, Social Media, Customer Experience, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Workforce Force Optimization

        In my research of NICE Systems for several years I have remarked often that its biggest challenge is to integrate all the products that now make up its Customer Interaction Management suite. Through acquisitions, in-house development and partnerships, this suite has grown to include interaction recording, quality management, workforce management, incentive management, interaction analytics, performance management, real-time guidance, customer feedback management, mobile access and Web-based...

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        Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Mobile Apps, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Force Optimization

        Our recently released research into next-generation customer analytics shows that the most participants (52%) use spreadsheets as a customer analytics tool. I recently wrote that while these popular tools are adequate for some tasks, they are not suitable for analyzing large volumes and many types of customer data. So I think it is appropriate that one in four (26%) participants have adopted a dedicated customer analytics tool and a further 29 percent are planning to invest in such a tool in...

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        Topics: Social Media, Customer Analytics, Speech Analytics, Voice of the Customer, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        The last time I reviewed Confirmit it had just acquired CustomerSat and was re-engineering its products to support a broader approach to voice of the customer (VOC), which Ventana Research defines as a complete view of customer interactions, customer sentiments after interactions and the outcomes of those interactions. During my latest briefing, I found out that the new architecture will be available in version 18 of the product, which Confirmit recently announced as generally available....

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics, Unified Communications

        Building a contact center is growing in complexity as companies struggle to support customers’ ever-higher expectations. Customers now insist on engaging with companies through the channel of their choice, often from a mobile device, and at a time of their choosing. If they interact with a person, they expect that person to have the social and technical skills to resolve their issues quickly and effectively. If they use any form of self-service, they expect the technology to help rather get in...

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        Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization

        I recently completed two closely related benchmark research reports, on next-generation customer engagement and next-generation customer analytics. The  research on customer engagement shows that companies on average engage with customers through seven or eight communication channels and that almost every business unit except IT engages with customers. To provide customers with personalized, in-context and consistent experiences across these channels, companies need an up-to-date, complete view...

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        Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), Information Management, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics

        Salesforce.com began with a simple message: On-premises CRM has come to the end of its useful life, and the way forward is cloud-based CRM. I have written several times that the company has won this argument, and my research into contact center in the cloud confirms this: 63 percent of participating organizations said that adopting systems in the cloud is one of the key ways to improve customer engagement. Furthermore, this vendor’s success pressurized many other companies to move into the...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Mobile Apps, Self-service, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM

        In my benchmark research into next-generation customer engagement three-quarters (77%) of participating companies said it is necessary to improve the way they engage with customers. The main drivers for doing that are to improve the customer experience (74%) and improve customer service (70%). However, neither is an easy task because companies now have to support more channels of communication, and more customer interactions are handled by multiple business units within the organization. The...

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        Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics

        Envision has carved out a slice of the workforce optimization market by offering its suite of products as cloud-based services. In addition to core products such as interaction recording, quality assurance, workforce management, training, coaching and agent analytics, it offers speech and desktop analytics and customer feedback management through surveys and our part of my research agenda. Our last Value Index shows that this is a highly competitive market, and my benchmark research on ...

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        Topics: Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Force Optimization
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        Our Analyst Perspective Policy

        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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