When it comes to today’s customers, companies have to be smart if they are going to anticipate and meet new customer expectations. These days IBM talks about doing most things in “smart” ways. Recently I was briefed on IBM’s Smart Customer Analytics, but it took me quite a while to find information about it on the company’s not-so-smart website. Surprisingly since business analytics is so important to IBM current and ongoing investments and is the top ranked technology innovation priority in 39...
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Topics:
Sales Performance,
Customer Analytics,
Customer Experience,
Voice of the Customer,
Operational Performance,
Analytics,
Business Analytics,
Business Intelligence,
Business Performance,
Cloud Computing,
Customer & Contact Center,
Customer Service,
IBM,
Information Applications,
Information Management,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
I recently attended NICE Systems’ annual user conference, this year called Interactions 2013. In discussions of its different products and latest releases and testimonials from selected clients, I was surprised by how the messages were packaged. NICE has a long history of acquiring companies, and it has let many of them continue to operate as autonomous lines of business. Often there was minimal integration with other NICE products, a variety of user interfaces, no common software...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
NICE Systems,
Social CRM,
Speech Analytics,
Voice of the Customer,
Mobile Apps,
Self-service,
Operational Performance,
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
When I last wrote about Attensity I classified it as a “pure play” text analytics vendor, but the latest release of its product has lead me to revise my opinion. Its product Respond uses natural language-based analysis to derive insights from any form of text-based data and among other results can produce analyses of customer sentiment, hot issues, trends and key metrics. The product supports what Attensity calls LARA – listen, analyze, relate, act – which is a form of closed-loop performance...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Voice of the Customer,
Kana,
Mobile Apps,
Self-service,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics
At the beginning of the year I wrote analyst perspective outlining why I think Salesforce.com is a vendor to watch during 2013. I followed this up with a post noting that Salesforce has shifted its headline messaging from becoming the “collaborative company” to becoming the “customer company” – a message that resonates better with me. During a recent analyst event, the theme of becoming a customer company remained the main message, but this time the emphasis moved to marketing, as the...
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Topics:
Sales Performance,
Salesforce.com,
Social Media,
Customer Analytics,
Customer Experience,
Social CRM,
Voice of the Customer,
Analytics,
Business Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM
The last time I reviewed ClickFox it was primarily focused on capturing how callers transverse IVR menus. It produced visual maps of what options callers used and thus how they navigate what can be quite complex menus, allowing users to identify the most common paths and thereby optimize these to meet common customer requirements and business needs. Since that time the market has changed considerably, and ClickFox’s current products now support companies as they try to identify how customers...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Clickfox,
Self-service,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Text Analytics,
Unified Communications
Like all analysts, I have a series of classifications to help group together vendors with similar capabilities. My challenge is to create categories that align with most users’ expectations so I don’t confuse readers when I define which category a vendor falls into. My “big five” are WFO or agent performance management (quality monitoring, workforce management, training and coaching, remuneration, and agent-related analytics); contact center infrastructure, including cloud-based systems...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Social CRM,
Voice of the Customer,
Mobile Apps,
Self-service,
Operational Performance,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Interactive Intelligence,
Unified Communications
I began my involvement with contact centers – actually they were called call centers in those days -more than 20 years ago. I quickly learned that almost everyone involved in running a contact center is obsessed with metrics: queue times, average call handling times, agent utilization, average length of after-call work – the list seemed to be endless. Since joining Ventana Research I have carried out numerous benchmark studies into customer and contact center performance, and found things...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics
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