Richard Snow's Analyst Perspectives

NGData Delivers DNA on Customers

Posted by Richard Snow on Nov 9, 2016 7:11:35 AM

During a recent briefing with NGData, I was initially put off by excessive “marketing speak.” The team began by describing its product, Lily Enterprise, as a “customer experience operating system.” Being used to having operating systems run entire computers, I wasn’t sure what this meant. This term was followed by a statement that NGData’s products help companies transition from being “B2C to C2B,” that is, to put the customer first, an idea that has been around for several years but in my experience few companies achieve. One of the biggest challenges in this regard is that most companies are organized into business groups, and each business group typically has its own processes, systems and metrics, a situation that makes it hard to have a single view of the customer and take actions based on the same customer view, and which lends itself to focusing on internal goals, not the customer. As an example, our research into next-generation customer engagement shows three key impediments to delivering exceptional customer experiences: systems that are not integrated (for 49% of organizations), communication channels managed as silos (47%) and customers receiving inconsistent responses at different touch points. The root cause of all these is data – customer data. Organizations have multiple systems that generate customer data, in multiple forms: for example, structured data in CRM and ERP systems, voice recordings, text data from multiple sources (letters, email, Web scripts, text messages, chat scripts and social media posts), video and event data such as a customer downloading a film. With so much data in so many formats, it is hard for companies to generate a single, “360 degree” view of the customer that can be shared across the whole organization.

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Topics: Customer Analytics, Customer Engagement, Customer Experience Management, Speech Analytics, Call Cente, cloud computing, Customer Service, Contact Center, Contact Center Analytics, CRM, Text Analytics, omnichannel, analytics

NICE Advances Contact Centers for SMB

Posted by Richard Snow on Oct 25, 2016 5:16:01 AM

Over the years, our benchmark research studies on contact center systems have shown that larger centers use dedicated contact center systems to support their operations nearly twice as often as centers that have fewer than 250 seats. Smaller centers typically lack budgets and technical skills to deploy and operate such systems. This situation is evident in the tools commonly used to support workforce management and analytics; smaller centers most often use spreadsheets. While spreadsheets have their place in limited ad hoc analysis for small groups, in an environment such as a contact center, they cause issues with regard to ingesting data from multiple sources and providing analysis in real time.

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Topics: Customer Analytics, Customer Engagement, Customer Experience Management, Call Cente, cloud computing, Customer Service, Contact Center, Contact Center Analytics, omnichannel, analytics, worrkforce optimization, wfo

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

mplsystems Offers Array of Customer Experience Support for Contact Centers

Posted by Richard Snow on Jan 3, 2016 10:56:54 PM

Based in the U.K., mplsystems is a relatively small vendor of contact center in the cloud systems, having fewer than 200 employees, but it has a distinct portfolio of products. Its core product, intelligentContact, is designed for omnichannel customer engagement. Its two other products, Customer Service CRM and Field Service Management, are not typically supported by other vendors in this space. As I dug deeper into the component parts of each of these products, I found other capabilities that also are not normally offered by contact center in the cloud vendors.

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Topics: Customer Analytics, Customer Engagement, Customer Experience Management, Mobile Technology, 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

Intradiem Enables Real-Time for Agents and Work

Posted by Richard Snow on Dec 17, 2015 10:44:09 PM

When I last wrote about Intradiem, its focus was on using numerous sources of data as input for a rules engine that enables companies to make better use of customer service agents’ idle time by allocating tasks to fill those gaps. Although that fundamental concept hasn’t changed, the latest versions of its products also take on a bigger challenge: automating the handling of interactions by shifting the focus from making the best use of idle time to making the handling of interactions and associated tasks more dynamic.

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Topics: Customer Analytics, Customer Engagement, Customer Experience Management, Analytics, Customer Service, Uncategorized, Call Center, Contact Center, Contact Center Analytics, CRM, Customer Performance Management (CPM), omnichannel

dvsAnalytics Makes Strong Showing in Workforce Optimization

Posted by Richard Snow on Dec 9, 2015 10:09:59 PM

Having covered workforce optimization systems for more than 10 years, recently I was contacted for a briefing by dvsAnalytics. I quickly learned that the analytics mentioned in the company’s name are focused on workforce optimization. Founded in 1983, dvsAnalytics is headquartered in Scottsdale, Ariz., and has thousands of customers in various industry sectors. Its Encore suite of products includes standard workforce optimization applications for call recording, quality management, workforce management and coaching as well as post-contact surveys, live monitoring, multiple forms of analytics and a range of APIs to support integration with third-party products, especially telecommunications systems. The products have mostly been developed in-house although workforce management is provided through integration with Community Workforce Management fromWorkForce Management Software Group. DvsAnalytics makes its products available on-premises, in the cloud or in a hybrid environment; unlike some vendors, it builds all three options on the same code base. Most of its sales and post-sales support are provided through a network of partners in various locations.

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

Enghouse Evolves Products for Contact Center Demands

Posted by Ventana Research on Dec 8, 2015 10:47:07 PM

Over the last few years, through a combination of acquisitions and internal development, Enghouse Interactive has developed a portfolio of contact center products and services. Recently it announced its product portfolio for 2016. This consists of three core products: CCE, CCSP and EICC. These are updated and rebranded versions of the products I recently wrote about, and each is designed to help different types of organizations maximize the value of every interaction with customers.

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

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