Many retailers are scrambling to reliably access, understand, and act on the volumes of data they obtain from their operations. It’s sometimes a challenge to answer everyday questions like “How many new customers walked in the store today?”
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 let big data help address their top issues in operations, customer personalization, and demand forecasting.
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