Digital Mission

Experiential Retail

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Retail Business Innovation Data-Driven Revenue Opportunities

Data as a Service (DaaS)

Current Situation

Retailers and other businesses seek initial or standard (usually aggregate) data to be monetized that use data models, train AI tools and algorithms, and establish a default data set to work with a variety of purposes but usually tied to data augmentation or enrichment of data for businesses. These are accessible through cloud-based solutions in an on-demand format.

Goals and Objectives

Cloud, cloud integration software, data warehousing, database tools, data optimization tools

Technology Deployed

Introduce more thorough data that provides overlay information allowing for geo-specific or other more specific focused data sets for decision making. The solution is primarily analytics based but can be operational. An example might be weather data overlay to retailer SCM or merchandise curation.

Use Case Summary

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