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Solving for Satisfaction: How New Data Management Supports Retail Success

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People want shopping to be fun and rewarding. With the shifting balance between brick-and-mortar and online shopping, retailers who can connect the dots to create a 360-degree picture of customers can better address their market’s unique needs. Whether a customer goes into a retail store for the initial research into their purchase or goes online first, today’s merchants want to be prepared with the right answers.

Big data provides a window into the buying process—but matching structured, highly accurate data, such as transaction details, with unstructured, less-reliable data, such as videos from security cameras and social media sentiment analysis, can take a lot of skill and processing power. Today’s retailers are using new, cost-effective cloud and hybrid big data storage and analytic solutions to address some of their top issues:

  • Demand forecasting
  • Purchasing
  • Operations
  • Personalization
  • Customer satisfaction
  • Support

Find out who is winning with big data analysis, frequent first-use cases for this technology in a retail setting, and how machine learning fits into a retail data solution.

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