Richard Snow's Analyst Perspectives

LiveOps Empowers Contact Center in the Cloud

Posted by Richard Snow on Nov 28, 2015 9:05:18 PM

Founded in 2000, LiveOps has evolved a unique two-sided business model. On one side is LiveOps Agents on Demand,  an Uber-like business in which home-based workers sign-up as LiveOps agents, and the company uses them to provide outsourced contact center services. This model enables LiveOps to provide flexible levels of service; customers can scale up and down as needed while the provider is able to manage agent numbers cost-effectively. The agents use the LiveOps Cloud Contact Center platform; in this way the company can test its system and use these agents’ experiences to improve the platform as used on the other side of the business. I have previously covered their focus on contact centers in LiveOps Improves the Agent Experience. LiveOps reports revenues growing on both sides and being able to expand its cloud contact center business globally.

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Topics: Customer Analytics, Customer Engagement, Customer Experience Management, Speech Analytics, 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

Subscriber Experience Impacts Recurring Revenue

Posted by Ventana Research on Nov 8, 2015 11:19:15 AM

The digital economy has changed the way many companies provide products. Some no longer deliver packaged products but provide them as services over a network, typically the Internet. Telecommunications providers in particular are familiar with this business model and have developed processes and systems that use innovations such as product bundles that include elements of fixed charges (such as cost of installation) and variable charges based on usage (such as the number of calls made) and means of registering customers on the network, collecting usage data, invoicing and collections. This model has been adopted increasingly by the software industry, replacing a single license fee and maintenance charges for on-premises products with software as a service in which users access products over the Internet and pay per user and/or for usage. Adoption of this model by other types of business has led them to think of customers as subscribers.

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Topics: Big Data, Customer Analytics, Customer Engagement, Customer Experience Management, Marketing, Operational Performance Management (OPM), Analytics, Cloud Computing, Customer Service, CRM, Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), omnichannel

Genesys Brings G-Force to Powering a Better Customer Experience

Posted by Ventana Research on Nov 5, 2015 11:18:48 PM

I recently joined more than 1,000 users, partners, consultants and other analysts at the first global G-Force 2015 conference, held in Miami. Sponsor Genesys put together an agenda that not only educated but entertained the attendees. For an example of the latter, Sekou Andrews, a poet, actor, musician and voice-over artist, preceded the main keynotes with a wonderful sketch that put customer experience into the context of marriage and reminded us to treat customers as he does his wife, remembering that the customer is always right!

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Topics: Customer Analytics, Customer Data Management, Customer Experience, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics, omnichannel, workforce optimization

Insights from Dreamforce ‘15 Exceeds Expectations

Posted by Ventana Research on Oct 17, 2015 1:11:38 AM

I recently attended my first U.S. Dreamforce, the annual salesforce.com event designed to showcase its products and services as well as those of its partners, and I was impressed. I was told that Dreamforce ‘15 would be big, and it was – just about every hotel, restaurant, meeting room in San Francisco seemed to have been taken over for the week, and still the company had to bring in a cruise ship to accommodate people and events. I was told it would be manic, and it was – more than 100,000 attendees, and buses and cabs blocking surrounding streets. I was told it would be busy, and it was – more than 600 conference sessions.  I was told it would educational, and it was – I gained many insights into new product developments, both from salesforce and several of its partners. Here are some of the key takeaways for my research practice.

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Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Mobile Technology, Speech Analytics, Wearable Computing, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer Service, Agent Performance Management, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Sales Performance Management (SPM), Text Analytics, omnichannel

ResponseTek Makes Customer Experience Management Simple and Sophisticated

Posted by Ventana Research on Oct 8, 2015 11:46:04 PM

ResponseTek is a software vendor whose platform and services help companies collect and act on feedback from their customers. It supports a closed-loop process that collects feedback, analyzes it, provides customizable reports and analysis dependent on the user, and most importantly enables taking action based on the information. This allows companies to understand product and service issues, customer sentiment, intentions, and likely behaviors, and where necessary ensures the most appropriate actions are taken.

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Topics: Customer Analytics, Customer Experience Management, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Customer Performance Management (CPM), Text Analytics, omnichannel, voice of the customer (VoC)

Enghouse Interactive Expands Portfolio of Contact Center Systems

Posted by Ventana Research on Mar 13, 2015 9:00:55 AM

Enghouse Interactive is one of three divisions of Enghouse Systems, a publicly traded Canadian company founded in 1984. The other two divisions provide network technology to telecommunications providers and applications for public and private transportation companies; Enghouse Interactive owns the company’s three contact center systems. The corporate group has a history of growth – it now has a market capitalization of more than US$1 billion - achieved both organically and through an aggressive acquisition policy. The same applies to Enghouse Interactive. Its three core products are built on three acquisitions – Syntellect in 2002, CosmoCom in 2011 and Zeacom in 2012. Each of these has been enhanced by a combination of in-house development and integration with other acquired products. The three products are maintained and developed independently, something Enghouse Interactive says will continue for the foreseeable future. However it is working to integrate its latest acquisitions with all three products, so each will gain new capabilities.

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Topics: Big Data, Customer Analytics, Customer Experience Management, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Text Analytics, omnichannel, voice of the customer (VoC), workforce optimization

Tracking the Customer Journey Is Critical for Engagement

Posted by Ventana Research on Feb 27, 2015 4:38:57 AM

Competition for customers is more intense today than ever before, and companies struggle to differentiate themselves from the competition. Our research repeatedly finds that customer experience is a key differentiator. Our research into next-generation customer engagement said the impetus for improving engagement is to improve the customer experience in almost three quarters (74%) of participants. One increasingly popular way to do this is to use customer journey maps, which show how companies plan to engage with customers: at what times, through which channels, at which touch points and with which business units or using which self-service technologies. Our benchmark research into customer relationship maturity shows that two-thirds (67%) of very customer-focused companies use customer journey maps. The top four uses are to develop more customer-focused employee training (by 78%), personalize customer experiences (76%), enhance customer experience processes (73%) and drill down on customer experience processes to the customer segment level (73%). Typically producing these maps has been a manual process, perhaps using process mapping tools; in these cases few companies were able to capture and visualize actual journeys. However, as more business units engage with customers and companies deploy multiple channels of engagement – including self-service – improving the customer experience and mapping the customer journey become more complex, and to keep up companies have to invest in processes and tools that help them automate the process of producing maps and capture data about and visualize actual customer journeys.

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Topics: Big Data, Customer Analytics, Customer Experience Management, Customer Feedback Management, Speech Analytics, Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), Text Analytics, ominchannel, voice of the customer (VoC), workforce optimization

Verint Advances Feedback Management to Improve Customer Experience

Posted by Ventana Research on Feb 26, 2015 2:31:05 AM

Verint entered the enterprise market for customer feedback management when it acquired Vovici in August 2011. Since then the Vovici products have been integrated into Verint’s Customer Engagement Optimization suite, which includes products originally developed by Verint and Kana, which it also acquired. The current suite supports a range of capabilities that Verint groups into three categories: customer analytics (various types of analytics and Enterprise Feedback Management), customer engagement (which is largely the Kana products that support the agent desktop, email, chat and co-browsing, knowledge and case management, and Web-based self-service) and workforce optimization (quality monitoring, workforce management, desktop and process analytics, performance management and e-learning and coaching). Having this broad array of capabilities allows Verint to support a closed-loop approach to customer feedback and connect it to the processes with which to identify issues raised through feedback and take action to improve (through process change, training and coaching, for example).

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Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Analytics, Business Analytics, Cloud Computing, Customer Service, Call Center, Contact Center, Contact Center Analytics, Customer Performance Management (CPM), Text Analytics, voice of the customer (VoC)

Cisco Provides a Portfolio of Contact Center Products

Posted by Ventana Research on Feb 17, 2015 7:13:21 PM

I recently attended a Cisco Collaboration analyst day in the U.K. and was impressed by what I heard and saw. Cisco  of course is known as a supplier of network equipment and software, and it has long provided these through a global network of partners. But Cisco also has been in the contact center market for several years and has had success with its small and enterprise contact center systems, having more than 20,000 on-premises customers and revenue in excess of US $1.5 billion. Cisco markets the contact center systems as Customer Collaboration , but the portfolio is still based on its two longstanding contact center products: Unified Contact Center Enterprise  and  Unified Contact Center Express , designed for larger and smaller centers, respectively. Two other options are  CiscoPackaged Contact Center Enterprise  and  Cisco Hosted Collaboration Solution for Contact Center (HCS-CC) . These both use the Enterprise products, but the first comes packaged and so has less options, and the second is based on cloud computing; both are easier to deploy and more affordable for a wider market than the other options.

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Topics: Big Data, Customer Analytics, Customer Experience Management, Speech Analytics, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics, workforce optimization