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Enhanced 360º View of the Customer

What is the Enhanced 360º View of the Customer big data use case?

What is the Enhanced 360º View of the Customer big data use case?

Leveraging emerging big data sources and types to gain a much more complete understanding of customer behavior—what makes them tick, why they buy, how they prefer to shop, why they switch, what they’ll buy next, what factors lead them to recommend a company to others—is strategic for virtually every company. To gain that 360 view of the customer, organizations need to be able to leverage internal and external sources of information - along with strong master data management - to assess customer sentiment.

Ask yourself:

checkmark Do you need a deeper understanding of customer sentiment from both internal and external sources?

checkmark Do you want to increase customer loyalty and satisfaction by understanding what meaningful actions are needed?

checkmark Are you challenged to get the right information to the right people to provide customers what they need to solve problems, cross-sell, and up-sell?

If you answered yes to any of the above questions, the enhanced 360 view of the customer use case is the best starting point for your big data journey.

With Enhanced 360º View of the Customer, you can:

  • Enhance your 360-degree view of the customer

    Explore how an enhanced 360-degree view of the customer optimizes and facilitates more personalized customer interactions.

  • Enhanced 360-degree view of the customer

    Using big data technologies to better understand and engage customers

  • youtube

    Big Data Use Case - Enhanced 360 degree view of the Customer

    Watch as Stacy Leidwinger, Product Manager IBM Big Data, discusses how big data can deliver an enhanced 360 degree view of the customer

  • How to Get an Enhanced 360 View of the Customer

    Listen to Mark Myers, IBM big data product manager, describes this key use case and gives several examples of how today's new big data technology differs from and complements CRM and other existing products.
    Listen to the podcast (MP3, 00:25:52, 12.5MB)

  • "Dances with Rhinos" Staring InfoSphere Streams

    Through geospatial positioning, wildlife protection agencies use InfoSphere Streams to predict animal migration patterns and where the patterns cross human activity. The same predictive analytics also allows retailers to engage customers, monitor their preferences and prevent the competition from swooping in and stealing them away. That's the real nature of analytics.

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