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        Analyst Perspectives

        Anyone who follows salesforce.com is used to surprises, but over the last couple of months the company has come up with some that go beyond the usual. It rebranded the recent user conference in London as a customer company event. This follows from changing its messaging to urge every company to become a customer company not a social company. The event itself was everything we have come to expect, using an array of customer case studies to show how salesforce.com’s products help companies...

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        Topics: Sales, Sales Performance, Social Media, Customer Experience, Social CRM, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Information Applications, Call Center, Contact Center, CRM

        I recently wrote how IBM is making customer analytics smarter. Since then IBM has run events in North America and Europe to demonstrate how it is continuing these efforts and expanding into other areas. Outside of the customer space you can read how my colleagues assess its efforts: Mark Smith discusses HRRobert Kugel sees its impact on business overall, and Tony Cosentino addresses it in IT. Our research My focus remains the customer and I have learned more about what IBM is doing in social...

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        Topics: Social Media, Customer Analytics, Customer Experience, 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, IBM Watson, Text Analytics

        I recently attended SAS’s European analyst event, where I went to focus on new developments around customer intelligence, an application of big data that SAS includes in its high-performance analytics and visual analytics. SAS offers an amazing number and range of products that is hard to keep track of, so I was glad to get a sense that now it is focusing more on business solutions built with data visualization and discovery, big data, data management, cloud computing, marketing analytics...

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        Topics: SAS, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, 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

        In never ceases to amaze me, the number of new terms and acronyms the contact center market generates. Just as everyone is getting used to the fact that customers interact with companies through multiple communication channels (multichannel for short), someone invents the term omnichannel and we all have to get our heads around what this means. My research into the contact center in the cloud shows that companies now support on average nearly five communication channels, and although the...

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        Topics: Sales Performance, Social Media, Customer Experience, Social CRM, Voice of the Customer, Echopass, Enghouse interactive, Five9, LiveOps, Mobile Apps, NewVoicemedia, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM, Interactive Intelligence, Unified Communications

        Recently my colleague Mark Smith wrote about the IBM Watson platform. Mark is our expert on technically complex subjects like IBM Watson and‎ cognitive computing and the value it can provide to organizations and wrote an educational white paper on the topic. In fact IBM Watson was awarded the 2012 Ventana Research Technology Innovation Award. I focus on the customer and the customer experience, but I became engaged with the launch of the IBM Watson Engagement Advisor, which uncannily brings the...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Mobile Apps, Self-service, Operational Performance, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Call Center, Cognitive Computing, Contact Center, Contact Center Analytics, CRM, IBM Watson, Text Analytics

        Much is being written about the impact of social media on customer service, although my research into the agent desktop shows it hasn’t reached the fever pitch that many commentators would have us believe. It is true that the number of consumers using social media and as a consequence the volume of posts are astronomical. But I wonder how many of these posts actually have to do with customer service and how organizations filter out the relevant ones to help them decide on customer service...

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        Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer Service, Call Center, Contact Center, Contact Center Analytics, Unified Communications, Social Media Analytics, SoCoCare

        At its recent user conference, Interactions 2013, Interactive Intelligence (Nasdqaq: ININ) showcased its extensive product portfolio and its ambitious plans to improve the products both technically and functionally. I have written more than once about the complexities of building a contact center, which is getting even more complex as companies begin to support more channels of interaction as inbound ones are distributed around the organization including sales (59%), marketing (46%) and CRM...

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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 Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Force Optimization

        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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        Our Analyst Perspective Policy

        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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