During recent IBM analyst big data event, I learned about a new product, IBM Predictive Customer Intelligence. It extracts and processes customer-related data from multiple sources to analyze customer-related activities and has capabilities to predict customer behavior and actions. Predictive Customer Intelligence is built on IBM’s big data platform and supports extraction and integration of data from multiple sources, internal and external, and from structured and unstructured data. It can...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Voice of the Customer,
IBM Predictive Customer Intelligence,
Analytics,
Business Analytics,
Business Intelligence,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
IBM,
Information Applications,
Call Center,
Contact Center,
Contact Center Analytics,
IBM Watson,
Text Analytics
By its own admission, SAS has a very large software portfolio (of more than 250 individual products), and it continues to develop and release more products and updates to existing ones. Some of the products are sold alone, and others are bundled into “enterprise solutions”. Some are for technical users, and others are business applications. This complexity can make it hard to identify which product or bundle serves a particular need. Three are most relevant to my research practice: Customer...
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Topics:
Social Media,
Customer Analytics,
Customer Experience,
Mobile Apps,
Analytics,
Business Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Text Analytics
Much has been written about how cloud computing changes the way businesses source their software and services. For software companies, instead of being installed inside the company, software like business applications run on a computer installed at an external site. If the external site is not shared with any other business, this is called a private cloud; if it is owned and operated by a third party and supports more than one business, it is called a public cloud. In the case of public clouds,...
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Topics:
Sales Performance,
Social Media,
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Social CRM,
Speech Analytics,
Voice of the Customer,
Mobile Apps,
Self-service,
Operational Performance,
Analytics,
Business Performance,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Financial Performance,
Call Center,
Contact Center,
Contact Center Analytics,
CRM,
Desktop Analytics,
Text Analytics,
Unified Communications,
Workforce Force Optimization
8x8, Inc. was founded in the 1980’s to provide semiconductor products to the emerging personal computer market; in 2002 it was relaunched to focus on Voice over IP (VoIP) services. By 2008 it had become the second-largest independent VoIP provider in the U.S., and its product, Virtual Office, was widely used by businesses for telecommunications. In 2011 8x8 acquired Contactual and entered the cloud-based call center market. Today the company brands itself as a “communication and collaboration...
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Topics:
Customer Analytics,
Customer Experience,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics,
Unified Communications
The contact center market continues to shift focus from handling customer calls as efficiently as possible to providing superior customer engagement across multiple touch points. The latest advancement is an joint announcement from IBM and Genesys who have signed a partnership agreement to provide “smarter customer engagement”. The agreement includes a technology partnership and a joint marketing plan, and brings together IBM’s Watson Engagement Advisor and Genesys’ Customer Experience Platform.
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Topics:
Social Media,
Customer Experience,
Genesys,
Mobile Apps,
Self-service,
Operational Performance,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Cognitive Computing,
Contact Center,
CRM,
IBM Watson
NICE Systems is best known for its suite of workforce optimization products [http://www.nice.com/workforce-optimization-lobby] that I recently assessed. However, after attending its user event last year, I wrote in 2013 that it was extending its portfolio and changing its focus to concentrate on packaged solutions that address specific business needs. Over the years the company’s portfolio has evolved through a combination of in-house development, acquisitions and partnerships. This approach...
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Topics:
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Speech Analytics,
Voice of the Customer,
Operational Performance,
Analytics,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics,
Workforce Force Optimization
InContact has cloud-based products that cover multichannel communications infrastructure (sometimes referred to as a “contact center in the cloud”) and workforce optimization. The channel management products were developed by inContact and through a partnership with Verint. InContact has been working to make Verint’s workforce optimization products available in the cloud while integrating the two sets of products. I met Kristyn Emenecker, inContact’s VP of workforce optimization, at the recent...
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Topics:
Customer Analytics,
Customer Experience,
Customer Feedback Management,
Speech Analytics,
Voice of the Customer,
Analytics,
Business Analytics,
Business Collaboration,
Cloud Computing,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Contact Center Analytics,
Desktop Analytics,
Text Analytics,
Workforce Force Optimization
I recently presented at the 2014 ICMI Contact Center Expo and Conference and have a few insights I want to share. I was impressed by the two main keynote speeches. In the first Bill Rancic, an entrepreneur, author and TV personality, talked about “How to Succeed in Business and Life.” Bill is not in the contact center industry, but he reminded the audience that individuals and companies that succeed in life and business grab opportunities when they come along. He went on to say that consumers...
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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,
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
On its website Panviva describes itself as providing “business process guidance,” which is a phrase I was notfamiliar with. As I searched the site, I found messages such as”it’s all about customer experience,” “the right information for the right person at the right time” and “navigating complexity.” All of these describe issues contact center agents face on a daily basis, and I concluded that Panviva competes in a space I track. My benchmark research into the agent desktop and its impact on...
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Topics:
Customer Experience,
Mobile Apps,
Self-service,
Operational Performance,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Business Process Management,
Call Center,
Contact Center
My benchmark research into the smart agent desktop finds that in nearly two-thirds (65%) of companies, contact center agents have to access multiple systems as they try to resolve customer interactions. These range from channel management systems (such as telephone, email, text messages and social media) to business applications (such as CRM, ERP and knowledge management), performance dashboards and analysis, and messaging systems. Having to use all these systems leads agents to make mistakes,...
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Topics:
Sales Performance,
Social Media,
Customer Experience,
Mobile Apps,
Self-service,
Operational Performance,
Analytics,
Cloud Computing,
Collaboration,
Customer & Contact Center,
Customer Service,
Call Center,
Contact Center,
Workforce Force Optimization