How the Contact Center is Evolving into a Customer Information Hub
The Contact Center as a Customer Information Hub Presented by
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The Panel: Barry Dalton is a customer service strategy and technology leader with over 22 years of experience designing and implementing loyalty strategy, business processes and technology architecture for Fortune 500 and mid-market companies. John Hernandez is Vice President and General Manager in Cisco System's Enterprise, Commercial and Small Business Division. His vision combines traditional contact center technology social media, network-based multimedia recording, web 2.0 agent workspaces and video to enable organizations to forge deeper, proactive customer relationships. Dan Miller is a thought leader on Recombinant Communications and the founder/analyst at Opus Research. He has helped to define the Conversational Access Technologies marketplace by publishing widely on the business opportunities that reside where automated speech leverages Web services, mobility and enterprise software infrastructure. Emily Yellin, Moderator, is a longtime journalist and the author of Your Call Is (Not That) Important to Us . Emily visited call centers in four continents when researching her book, and she regularly speaks at industry conferences and in the news media about customer service and contact centers.
Data & Knowledge Management in the Social Business Model From To Static Knowledge Management Dynamic Knowledge Monitoring Call Center Operations Social Media Integration Desktop Applications [CRM] Information Gathering & Analysis Source: Accenture POV “Social CRM – The New Frontier of Marketing, Sales and Service
Information Creation & Consumption Model in the Social Enterprise Source: Accenture POV “Social CRM – The New Frontier of Marketing, Sales and Service Author Publish Consume Feedback Analytics Authors create and/or modify content. In the social web, authors are also consumers Publishing workflow and engagement guidelines Users (agents AND consumers) use the content to address issues. Analytics data gathered based on usage to identify ‘superusers’ Users provide feedback such as recommendations on products. Ratings on content usefulness Analytics & Insight on what is working well, what needs improvement in the customer experience
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