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        Analyst Perspectives

        In the last several years many companies have shifted away from the mad pursuit of new customers toward focusing on retaining existing customers and winning more business from them. Against that background I expected to see a resurgence of customer relationship management processes and systems, but instead there is a growing focus on social media, customer experience management (CEM) and voice of the customer (VOC). I have already voiced my concerns on the level of focus on social business. My ...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management

        If they haven’t done so yet, businesses ought to become acquainted with two relatively new concepts: customer experience management (CEM) and voice of the customer (VOC). Ventana Research defines CEM as the practice of managing the customer experience at all touch points regardless of the communications channel being used. To manage that experience, three types of systems are directly helpful: smart desktop technology to help employees deliver great experiences to customers as they are...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Callminer, ResponseTek, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

        As a technology, predictive analytics has existed for years, but adoption has not been widespread among businesses. In our recent benchmark research on business analytics among more than 2,600 organizations, predictive analytics ranked only 10th among technologies they use to generate analytics, and only one in eight of those companies use it. Predictive analytics has been costly to acquire, and while enterprises in a few vertical industries and specific lines of business have been willing to...

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        Topics: Data Scientist, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Business Analytics, Business Intelligence, Customer & Contact Center, Workforce Performance

        I want to share my observations from the recent annual SAS analyst briefing. SAS is a huge software company with a unique culture and a history of success. Being privately held SAS is not required to make the same financial disclosures as publicly held organizations, it released enough information to suggest another successful year, with more than $2.7 billion in revenue and 10 percent growth in its core analytics and data management businesses. Smaller segments showed even higher growth rates....

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        Topics: Big Data, Predictive Analytics, SAS, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Strata+Hadoop

        For most people involved with business intelligence (BI), these are exciting times. Using BI to improve business processes continues to motivate organizations to invest in BI. The focus on BI also empowers business analytics and can be rented in the cloud computing model of accessing software. New technologies are adding dimensions to BI and creating both excitement and confusion for enterprises implementing them. We offer a variety of accomplished research that can help organizations overcome...

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        Topics: Mobile Business Intelligence, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Collaboration, Customer & Contact Center, Financial Performance, Information Management, Operational Intelligence, Workforce Performance

        Like many other observers with a business perspective, I have been skeptical of unified communications, but a day I spent at the recent Unified Communications Expo 2012 went a long way to convincing me that unified communications has entered the mainstream. At this point I think organizations should consider it as a viable option to improve the efficiency of their communications systems, the ability to collaborate internally and with customers, and the effectiveness of their multimedia contact...

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        Topics: Microsoft, Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Dell, NEC, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Nokia, Vocalcom and Zeacom

        Businesses have long struggled to build ongoing, profitable relationships with their customers.  Our new benchmark research into customer relationship maturity shows that this is not getting easier. 

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        My namesake Jon Snow is chairman of the Directors Club (GB & NI), an association for professionals who focus on dealing with customers.Recently he organized the first of a series of customer engagement days designed to bring together senior representatives of U.K. companies to listen to a few presentations about hot issues in engaging with customers and more importantly to share experiences and concerns about key customer engagement issues in roundtable discussions, such as “the rise of the...

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

        Cicero provides what I call a smart desktop product. The software allows users to hide multiple applications behind an easy-to-use interface and build rules to complete tasks more efficiently and effectively, for example, specifying  what field to complete next or the next question to ask a caller. It enhances customer experience management by enabling users to focus on the customers rather than on how to access the various systems, data and information needed to resolve interactions. 

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        Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Voice of the Customer, Cicero, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics

        I attended the Alteryx user conference called Inspire 2012 (Twitter: #Inspire12) in Denver this week. This fairly new analytics software company has been gaining customers in a range of brand-name organizations such as Dick’s Sporting Goods, Supervalu, U.S. Cellular and VF Corp. The company focuses on meeting the needs of analysts across the business analytic spectrum including a geographic and location context for simplifying the analytic tasks and processes for the needs of business at the...

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        Topics: Big Data, Mobile, Predictive Analytics, R, Sales Performance, Supply Chain Performance, alteryx, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Data
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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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