Richard Snow's Analyst Perspectives

Genesys and IBM to Improve Customer Engagement with IBM Watson

Posted by Richard Snow on Jun 14, 2014 9:34:58 AM

The contact center market continues to shift focus from handling customer calls as efficiently as possible to providing superior customer engagement across multiple touch points. The latest advancement is an joint announcement from IBM and Genesys who have signed a partnership agreement to provide “smarter customer engagement”. The agreement includes a technology partnership and a joint marketing plan, and brings together IBM’s Watson Engagement Advisor and Genesys’ Customer Experience Platform.

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Topics: Social Media, Customer Experience, Operational Performance Management (OPM), Genesys, Mobile Apps, Self-service, Cloud Computing, Customer Service, Call Center, Cognitive Computing, Contact Center, CRM, Customer Performance Management (CPM), IBM Watson

NICE Systems Closes Voice of the Customer Loop

Posted by Richard Snow on Jun 4, 2014 8:35:24 AM

NICE Systems is best known for its suite of workforce optimization products [http://www.nice.com/workforce-optimization-lobby] that I recently assessed. However, after attending its user event last year, I wrote in 2013 that it was extending its portfolio and changing its focus to concentrate on packaged solutions that address specific business needs. Over the years the company’s portfolio has evolved through a combination of in-house development, acquisitions and partnerships. This approach  enabled NICE to build a broad portfolio quickly, but it also created challenges in integrating the separate products into a homogeneous whole. One of the key acquisitions was Fizzback, which gave NICE entry to the market for customer feedback and voice of the customer (VOC) software. In this context I was keen to learn during a recently briefing how the company is integrating these products into a broader VOC portfolio.

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Topics: Customer Analytics, Customer Experience, Customer Feedback Management, Operational Performance Management (OPM), Speech Analytics, Voice of the Customer, Analytics, Customer Service, Call Center, Contact Center, Contact Center Analytics, Customer Performance Management (CPM), Desktop Analytics, Text Analytics, Workforce Force Optimization

Panviva Enables Smarter Customer Service

Posted by Richard Snow on May 8, 2014 8:38:41 AM

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 customer servicefinds that agents play a significant role in the customer experience, but many have to work with a desktop that impedes them in accessing systems and information, and some of the interactions they handle are complex.It was this perspective I brought to a briefing with Steve Pappas, Panviva’s SVP for North America.

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

OpenSpan Makes Smart Agent Desktop Simpler

Posted by Richard Snow on May 3, 2014 11:55:58 PM

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, increases average handling times, produces data errors and reduces satisfaction for both agents and customers. The last two are especially important because the research shows that very satisfied agents twice as often as less satisfied ones meet important customer-related metrics such as customer satisfaction, net promoter and customer effort scores, and satisfied customers are likely to remain loyal, buy more and recommend the company to people they know. A smart agent desktop can alleviate these issues by making it easier for agents to access systems, navigate between them, enter data and view important information.

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Topics: Social Media, Customer Experience, Operational Performance Management (OPM), Mobile Apps, Self-service, Analytics, Cloud Computing, Collaboration, Customer Service, Call Center, Contact Center, Customer Performance Management (CPM), Sales Performance Management (SPM), Workforce Force Optimization

Customer Analytics Research Reveals Required Capabilities for Software

Posted by Richard Snow on Mar 29, 2014 9:52:42 AM

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 the next 24 months.

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Topics: Social Media, Customer Analytics, Operational Performance Management (OPM), Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Business Performance Management (BPM), Call Center, Contact Center, Contact Center Analytics, Customer Performance Management (CPM), Desktop Analytics, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Text Analytics

Interactive Intelligence Advances Contact Center Software Portfolio

Posted by Richard Snow on Mar 20, 2014 9:22:43 PM

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 the way of speaking with a person. And of course many disgruntled customers don’t hesitate to publish their views on social media.

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

Customer Analytics Deserve More Than Spreadsheets

Posted by Richard Snow on Mar 7, 2014 8:24:32 AM

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 of their customers that gives those who interact with them the information they need to decide how to respond. However, the customer analytics research shows that the majority of companies don’t have access to such information and analysis. The most common analytics tool for more than half of companies is spreadsheets in 52 percent of organizations. Although spreadsheets meet individual users’ needs for ad-hoc analysis, they are inadequate for enterprise processes such as customer analytics. Almost three-fifths (57%) of companies in the research said that using spreadsheets makes it difficult to produce accurate and timely customer analysis.

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

Envision Takes Workforce Optimization to the Cloud

Posted by Richard Snow on Jan 28, 2014 11:41:08 PM

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 next-generation workforce optimization reveals that various segments of the market such as call recording and quality management have high levels of penetration. I was therefore keen to understand where Envision’s latest release, Click2Coach Cloud, fits in this market.

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Topics: Customer Experience, Customer Feedback Management, Operational Performance Management (OPM), Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Desktop Analytics, Text Analytics, Workforce Force Optimization

Uptivity Launches Gamification Capabilities for Workforces

Posted by Richard Snow on Jan 27, 2014 9:26:32 AM

I am not comfortable with the term “gamification” used in the context of business applications. It sounds as if employees are officially allowed to play games while working and thus take their attention away from the task at hand, which in a contact center is serving customers. So I was skeptical when Uptivity recently wanted to brief me about gamification capabilities it recently announced for its suite of workforce optimization products. I was doubtful that gamification will help companies in their quest to optimize performance from their contact center agents.

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

Customer Engagement in 2014: Agenda for Delivering Best Customer Experience

Posted by Richard Snow on Jan 15, 2014 9:54:16 AM

In 2013 we continued to see change in the contact center, customer service and customer experience markets: Consumers’ communication habits continued to evolve, more business units outside the traditional contact center became involved in handling interactions, software vendors continued to come up with new technologies, and cloud computing, mobility, big data, collaboration, social media and analytics all had a big impact on the ways users access and consume software. Many of these trends surfaced in my benchmark research on next-generation workforce optimization and next-generation customer engagement. Overall my research shows that organizations are slowly maturing in terms of the people, processes, information and technology they use to support customer engagement and related customer-facing activities. However, it also shows that many of the old issues have not gone away and that companies still have work to do to meet customer expectations and achieve their business goals.

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