IBM recently announced its new Customer Experience Lab. During a briefing I learned that the lab is a response to what IBM discovered by interviewing more than a thousand CMOs, who are concerned about the explosion of data companies collect about their customers. This explosion is being driven by changing customer communication preferences and the way customers now interact with organizations, which I recently highlighted in my post about the 2.0 world. My research into the contact center 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,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
IBM,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Workforce Force Optimization
Organizations have been talking about how to effectively analyze customer data for more than three decades. This has evolved into a desire for a “360-degree view of the customer” - a comprehensive picture drawn from all available data. As yet, not many organizations have achieved it. Our recent research into customer relationship maturity shows that fewer than one-third (31%) of organizations produce a single set of reports and analysis that the whole organization uses to support...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
I recently wrote that Salesforce.com was a vendor to watch during 2013, and during a recent briefing I heard more messages that support this view. First there was confirmation about financials. Even though the company is only 14 years old and the overall economy is not exactly booming, revenues for 2012 were up 35 percent to $3.05 billion, with Europe matching this with a 37 percent year-on-year growth. This not only shows the company is here to stay, but that the cloud is now well and truly...
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Topics:
Sales Performance,
Salesforce.com,
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
Clarabridge is a well-known text analytics vendor that markets its products under the banner of customer experience management. As I wrote last year, its products allow organizations to take a closed-loop approach by capturing all forms of text data, analyzing it, categorizing it, understanding root causes of customer issues and raising alerts so that action including collaboration can be taken based on these insights. Such a process is supportive of customer experience management, but for me...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Clarabridge,
Mobile Apps,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics,
Unified Communications
Like me, you have no doubt spotted the propensity for software vendors and consultants to call anything new “2.0”; for example, we have ERP 2.0 and CRM 2.0. Just recently during a joint Aspect and Microsoft presentation, the companies went one step further and introduced the concept of the 2.0 customer meeting the 2.0 company. My first reaction was one of horror, but as I thought about it, it became clear that customers have changed and so companies need to change to keep up – welcome to the...
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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,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Vendor(s),
Workforce Force Optimization
I recently attended the Unified Communication Expo exhibition and conference in London to find out how much communications has been changing. As I entered the exhibition center the first thing I noticed was the huge variety of vendors on show, everything from major brands in the telecommunications industry (Aspect, AT&T, BT, Cisco, Mitel, Nokia and Siemens Enterprise Communications) to some major brands perhaps not so associated with telecommunications (Dell, Citrix, Google and Microsoft), to...
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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,
Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Vendor(s),
Workforce Force Optimization
The first positive signs for the “the new Genesys” emerged just 100 days after its sale by Alcatel was completed last year, and those positive signs have continued. The company has not only maintained strong development of its core products but has also made an aggressive move into the contact center mid-market, the contact center in the cloud market, and the multichannel communications management market. It strengthens its position now with the announcement of its acquisition of Angel.com.
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Social CRM,
Speech Analytics,
Voice of the Customer,
Genesys,
Mobile Apps,
Self-service,
Analytics,
Business 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
Transera is an established contact center in the cloud vendor with in-depth interaction routing capabilities. During a recent briefing I learned that it has now supplemented these capabilities by launching a new product that it calls Adaptive Customer Engagement. Although it’s not entirely obvious from the name, the product uses big data analytics to analyze past customer interactions, profile customers, then use these insights to optimize current and future customer-facing activities such as...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Transera
Cisco is without doubt best known as a supplier of networking systems. Its products have been used by companies large and small to build local and wide area networks. It has played in the contact center space as a provider of network and call management systems that sit between public networks and contact center agents to manage the delivery of interactions to the right extensions and provide agents with softphones so they can manage inbound and outbound calls. These systems were designed to...
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Topics:
Sales Performance,
Social Media,
Customer Experience,
Logitech,
Mobile Apps,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Cisco,
Contact Center,
Contact Center Analytics,
CRM,
Unified Communications,
Upstream Works,
Social,
Workforce Force Optimization
My recent research into the contact center in the cloud shows the typical agent’s life is not an easy one. Agents are expected to handle more types of interactions that arrive through more communication channels as found in our research with inbound, email and outbound in use by more than 74 percent of organizations, meet an increasing number of performance metrics, and leave each caller feeling happy with the interaction. And they have to do this with a desktop that my research shows can only...
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Topics:
Sales Performance,
Social Media,
Customer Experience,
Social CRM,
LiveOps,
Operational Performance,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
CRM,
Workforce Force Optimization