Richard Snow's Analyst Perspectives

NICE and the Customer Experience Platform

Posted by Richard Snow on Mar 22, 2017 7:50:26 AM

In tracking NICE for a decade I have seen the company grow, through a series of acquisitions and product developments, from a vendor largely of workforce management systems to one that offers a full suite of workforce optimization products. It is now advancing what I call a customer experience platform that builds on top of my last coverage of it advancing its efforts. This includes systems to manage assisted channels of engagement (primarily the telephone), digital channels of engagement, workforce optimization, advanced analytics and tight integration with business applications such as CRM. NICE is on the road to building such a platform using existing and newly developed products and those that it recently acquired from Nexidia and inContact. It will take time before a fully integrated platform is available, but the company has already taken steps toward this goal.

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Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Mobile Technology, cloud computing, Analytics, Customer Service, Contact Center, CRM, workforce optimization, digital technology, Collaboration for Business

ShoreTel Offers Communications and Contact Centers

Posted by Richard Snow on Mar 16, 2017 9:45:56 AM

Until recently most organizations deployed systems on their own premises to build communications and contact center infrastructures, which often required them to integrate products from several vendors. In the past few years many vendors have moved their systems to the cloud, and others have begun as cloud-based suppliers. This trend has opened up the opportunity for more organizations to take advantage of modern communication systems and contact centers. Using the cloud for either, or both can save money and resources, reduce risk, and make available more integrated, multi-channel systems.  While the adoption of such systems has undoubtedly increased and is likely to continue to do so, our benchmark research into next-generation contact centers in the cloud finds that many organizations still prefer to remain on premises, and adoption of cloud-based systems occurs on a case-by-case basis. In addition, many organizations look for vendors that support multiple models so they have the option of starting out using one model but transitioning later to another, including to a hybrid model in which some systems are on-premises and others are cloud-based..

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Topics: Big Data, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Wearable Computing, cloud computing, Business Intelligence, Collaboration, Internet of Things, Contact Center, workforce optimization, analytics, Digital Commerce

NICE Systems Doubles Down on Customer Experience

Posted by Ventana Research on Jul 1, 2016 12:09:48 PM

NICE Systems was one of the first vendors I started to cover when I joined Ventana Research more than 11 years ago. Back then it was a pure-play vendor of workforce optimization (WFO) systems and was creating a portfolio of products by developing its own systems and acquiring niche vendors of call recording, quality management, workforce management, performance management and analytics. Over the years its portfolio has grown with new features, improved integration between the component parts, centralized administration and management capabilities, and a standard, modern user interface. The latest version of its core Workforce Optimization product was rated a Hot vendor in our 2015 WFO Value Index. It is still undergoing development, and a new version is being marketed as Adaptive WFO as it uses analytics to become more information-driven.

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Topics: Big Data, Call Center, Contact Center, Customer Experience M, Business Analytics, Cloud Computing, Uncategorized, Customer Performance Management (CPM)

Contact Centers Need Radical Change to Meet Consumers’ Expectations

Posted by Ventana Research on Jun 25, 2016 9:37:35 AM

I have been involved in the contact center industry for more than 25 years and often see organizations that are slow in keeping up with consumers’ expectations; many of them seem reluctant to change, regardless of the need to do so. For example, agents of my cell phone operator ask the same four questions at the start of a call as they did 30 years ago; my bank supports several channels of communication, but it doesn’t provide the same information on all channels; and a well-known airline couldn’t tell me where my bag was for 36 hours (it was at the airport where I departed!). My list goes on, and I am sure you have your own.

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Topics: Big Data, Social Media, Call Center, Contact Center, Customer Experience M, Business Analytics, Cloud Computing, Uncategorized, Customer Performance Management (CPM)

Research Agenda: Transforming Customer Engagement in 2016

Posted by Richard Snow on Feb 7, 2016 9:10:27 PM

I have been involved in the contact center, CRM and customer engagement business for more than 25 years. Yet only in the past few years have I seen much change. Until recently nearly all organizations focused on handling customer interactions as efficiently and inexpensively as possible; few made much effort to manage customer relationships over the complete customer life cycle. However, over the last 18 months, the scene has begun to change very rapidly, and I expect that to continue and even accelerate during 2016.

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Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Text Analytics, omnichannel, workforce optimization

Customer Experience in 2016 Infuses New Digital Technologies

Posted by Richard Snow on Feb 1, 2016 8:50:32 AM

There were significant technology developments in customer experience management during 2015. Multichannel contact centers in the cloud took hold of the contact center infrastructure market; I counted 21 vendors offering such services. A variety of vendors entered the market for customer analytics, combining analysis of structured data, speech recordings, text, desktop data, Web contacts, and events and processes to provide a comprehensive “360-degree” view of the customer and customer journey maps to track individual interactions over time. In addition a range of self-service or digital customer service applications became available, including mobile apps, voice-activated virtual agents, interactive video and Q&A websites and chat driven by natural-language processing. Digitally connected devices (the Internet of Things [IoT]) and wearable devices began to emerge. In 2016 I will track and try to anticipate the impact these technologies have on the customer experience.

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Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience Management, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Text Analytics, omnichannel, workforce optimization

Diabolocom Provides Customer Interaction in the Cloud Solution

Posted by Richard Snow on Dec 24, 2015 8:42:58 PM

In our benchmark research into contact centers in the cloud, nearly two-thirds (63%) of companies said that adopting applications in the cloud would enable them to improve how they handle customer interactions, and slightly fewer than half (44%) said that adoptingcommunication systems in the cloud would deliver similar benefits. Several vendors now provide such systems.Diabolocom is the latest one to brief me on its products. Founded in 2005 and having around 30 employees, it has headquarters in France (and its website is in French), but it has a global presence, primarily for supporting French companies that have offices around the world. Its contact center  products are available only in the cloud and extend beyond basic multichannel communications to other applications connected with handling customer interactions.

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Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Text Analytics, omnichannel, workforce optimization

Oracle Advances Applications and Technology for Customer Experience

Posted by Richard Snow on Dec 20, 2015 8:23:33 PM

Oracle has built one of the world’s largest software portfolios through a combination of developing products in-house and acquisitions. In the last few years it has put great effort into transitioning from providing its applications as on-premises products tomaking them available in the cloud. It also has worked to add customer experience capabilities to its range of business applications. Improving the customer experience is a top priority as our next generation customer engagement research found in almost three quarters (74%) of organization. In doing so it has developed a common user interface across the applications to address modern user expectations and has built a platform to support common capabilities in all its products. Recently I had the opportunity to study the strides Oracle has made in these areas as well as to identify some issues that still need to be resolved.

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Topics: Big Data, Customer Engagement, Customer Experience Management, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Uncategorized, Call Center, Contact Center, CRM

Transera Embraces Salesforce.com and Analytics

Posted by Richard Snow on Dec 2, 2015 10:55:26 PM

Transera is an established vendor of contact center in the cloud systems and analytics, and as I discovered at the Salesforce Dreamforce ’15 conference and during a recent briefing, it has added support for managing voice interactions for users of salesforce.com Service Cloud. Its core product, Global Omni-Channel Contact Center, now supports voice, email, chat and Twitter, which are managed centrally through a routing engine that treats all interactions in the same way. This ensures that companies have a central view of how interactions are being handled, and they can manage the rules to guide customers to the channel most appropriate for what they are trying to achieve and route the interaction to the most qualified person. An enhanced scripting engine allows users to script the ways in which different types of interactions are handled, and a recording engine captures all calls and makes them available for analysis. Transera also has added capabilities to produce real-time analysis of contact center performance through dashboards and analytics that show a single view across all sites and data sources. Operational and business metrics can be calculated using multiple data sources, and a variety of visualization capabilities enable the analysis can be displayed in the format most appropriate for a specific user and occasion. All the systems are available in the cloud and are scalable enough to support companies of all sizes, including those with centers in multiple sites.

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Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience Management, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Text Analytics, omnichannel

Three Tools to Boost Omnichannel Customer Experience

Posted by Richard Snow on Nov 17, 2015 2:07:57 PM

Much is written about omnichannel customer experience, and various software vendors now claim to focus on the customer experience. With various degrees of credibility they range from providers of communication channel management to workforce optimization, voice of the customer, self-service, analytics and even CRM. This bandwagon raises the question of what  omnichannel customer experience really is and how companies can achieve it. Our benchmark research into next-generation customer engagement shows that consumers now engage with companies through as many as 17 channels of engagement though companies on average support six. The research also shows that every business group, with the exception of IT, engages with prospects and customers at different times during the customer life cycle. Customers today, we know, are more demanding than ever. They want to choose the channel and time of engagement. They want the process to be easy, and they want to be recognized so responses can be personal to them. They expect consistent responses regardless of channel and not to have to repeat actions if they change channels. They want agents empowered to resolve an issue at the first try. Finally, at the end of the interaction they want to feel good about how it went and the outcome.

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Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience, Operational Performance Management (OPM), Speech Analytics, Analytics, Business Collaboration, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, Customer Performance Management (CPM), Sales Performance Management (SPM), Text Analytics, omnichannel