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Building Personalized Experiences

whitepaper-cover-building-personalized-experiencesThrough the power of attributes across product, customer, content, and asset domains.

Applying customer and journey context means serving up the right products, services or solutions with supporting data and content to meet needs on a moment-to-moment basis.  Therefore, customer data models, product data models, content models, and knowledge architecture all have to follow harmonized information structures–in other words, they have to be tied together by a unified attribute model or framework in order to achieve unified commerce.

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Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

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How to Design Omni-Channel IVAs That Humans Love To Use

During our webinar, "Omni-channel Virtual Assistants - The Next Frontier in Voice and Text for Customer Service guest speaker Chris Featherstone, who leads business development for AI and speech recognition services at Amazon Web Services (AWS) and Seth Earley, CEO of Earley Information Systems (EIS) discussed ways to design omni-channel virtual assistants to optimize their use across voice and text. When supported by an appropriate information architecture and designed with a deep understanding of the customer, virtual assistants can access enterprise knowledge efficiently, saving time and money. The key to success is to structure the underlying information so it can be retrieved and used by any channel, including humans, to deliver the responses that customers need. Here's a recap of the conversation.