IBM Debuts Big Data Capabilities for Customer Experience



IBM has unveiled new data-driven innovations from IBM Interactive Experience that help business leaders gain deeper insights into individuals and transform the way customers experience their products, services and brands.

IBM researchers within IBM Interactive Experience invented unique algorithms that conduct the analysis for these new capabilities:

  • Intelligent Customer Profiles is an analytics-driven solution that enables consumers to directly manage the personal information companies use to provide them services. It also allows companies to proactively ask consumers questions, using a learning model to determine the next best question to ask an individual for a clearer picture of their preferences, while respecting privacy constraints. This helps companies improve the quality of customer profiles so they can provide better service, enhancing the relationship between a business and their customer. For example, an airline could use this capability to refine its scheduled service to better meet the needs of specific micro-segments of customers or a bank could make sure it’s providing an individual customer with service on their preferred channel of communication. 
  • Influence Analysis is an analytical approach that goes beyond basic social media influencer scoring to identify individuals who influence other consumers related to a specific topic. By knowing which consumers influence others’ opinions of products and services, clients can optimize interactions in consumer communities down to the specific target topic. Combined with existing enterprise data, this capability allows clients to develop their own robust, customized influencer analysis that can be tuned based on specific business factors such as local location or language. This analysis can be used to help a company identify the best ambassador for their brand or hone in on the right targets for a viral marketing campaign, for example. 
  • Customer Identity Resolution is a rules-based matching toolkit that helps enterprises build a broader understanding of who their customers are by connecting information across different data sources such as customer relationship management (CRM) records, social media accounts and other profile information. This is particularly useful for better understanding prospective customers that companies have little information on. After a company builds out comprehensive profiles of their customers, they can use analytics for business insights or conduct direct social marketing to existing customers on an opt-in basis. 

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