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When Salesforce.com began in 1999 its stated intent was “to reinvent CRM in the cloud.” In 15 years, the company has achieved much more than that, having a major impact on the way IT systems are delivered: Large numbers of vendors have followed its example to provide cloud-based systems. It added a platform as a cloud – a software development environment in the cloud – to its portfolio,...

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Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics


During this year talk has been widespread about the customer experience, which is good. What is not so good is that, according to my benchmark research into next-generation customer engagement, most companies still struggle to deliver satisfying experiences. However, the research and my discussions with users and vendors lead to some clear conclusions:

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Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics


The Ventana Research Value Index for Workforce Optimization in 2015 is now released. Workforce optimization covers all aspects of managing everyone who handles customer interactions and is thus vital to improve operational efficiency, and customer and employee satisfaction. It includes the following applications: interaction capture, quality monitoring and assurance, workforce management,...

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Topics: Big Data, Customer Analytics, Customer Experience, Speech Analytics, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Text Analytics


Interactive Intelligence is a well-established supplier of contact center systems and just celebrated its 20th anniversary. Customer Interaction Center (CIC) is its on-premises product, which provides integrated management of multiple communication channels and supports a high degree of customization. Communications as a Service (CaaS) is a virtual private cloud (for single tenants) version of...

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Topics: Big Data, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics


Those of us who have been in the technology industry for many years remember the phrase “No one ever got fired for buying IBM.” Then IBM was both a hardware and a system software vendor, and most IT managers new that hardly anyone would question a decision to go with IBM. These days IBM has done extensive marketing to make itself known for everything “smart” – planets, cities, commerce and of...

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Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Analytics, Business Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics



I recently wrote about NICE Systems’ acquisition of Causata to enhance its analytics capabilities and expand from workforce optimization into customer experience management. NICE recently released Customer Engagement Analytics, which is designed to analyze customer interaction data to help companies improve the customer experience at every touch point. NICE calls this optimizing the customer...

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Topics: Customer Analytics, Customer Experience, Operational Performance, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM


Recently NewVoiceMedia announced that it has raised $50 million to fund its growth. The company was founded in 2000 in the U.K., initially offering call management and routing as cloud-based systems. Until then, most companies built their contact centers using on-premises private branch exchange (PBX) or automated call distributor (ACD) call management systems, with on-premises call routing and...

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Topics: Customer Analytics, Customer Experience, Voice of the Customer, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM


Oracle has a large and diverse set of products and now has most of its business applications operating in the private and public cloud. However, some recent acquisitions have enabled it to focus on cloud-based-products for managing the customer experience. Our next generation customer engagement research has found that customer experience is the top impetus for improving customer engagement as...

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Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Social CRM, Mobile Apps, Operational Performance, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM


In recent years line-of-business applications including accounting, human resources, manufacturing, sales and customer service have appeared in the cloud. Cloud -based software as a service (SaaS) has replaced on-premises applications that were previously part of ERP and CRM environments. They have helped companies become more efficient but have also introduced interoperability challenges between...

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Topics: Sales Performance, Supply Chain Performance, ERP, Office of Finance, Order Management, Operational Performance, Business Analytics, Business Performance, CIO, Cloud Computing, Customer Service, Financial Performance, CFO, SFA


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...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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...

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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


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