Best Practices in Retail: In-memory Analytics Implementation
Best Practices in Retail: In-memory Analytics Implementation, report discusses how different retailers can benefit from in-memory analytics, with advice provided for IT vendors. The technology helps them to perform multidimensional analysis of various KPIs such as sales, customer preferences, products and more for any store, irrespective of time and location. To determine the most efficient use of in-memory analytics, this report analyzes multiple best practice approaches from different retailers.
In-memory analytics can help retailers speed up the time to insight, especially where large data volumes are concerned. It is particularly beneficial for cases that require real-time analytics with very low latency, which includes supply chain management and customer insight for scenarios such as identifying opportunities at the point of sale (POS) or by an aisle through digital communications with customers.
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