Digital Mission

Experiential Hospitality, Dining, and Travel

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Business Model Innovation Data Driven Revenue

Data as a Service

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 for 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

Set up and enable usage of DaaS services to supplement existing data-specific initiatives with higher detail or more relevant content

Technology Deployed

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

Use Case Summary

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.

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