Challenges & Benefits of Retailer POS Data Use

Challenges of POS Data

Unusable retailer source data needs to be transformed.

Aggregations

Deriving calculated facts

Mapping of data to other sources

For example, sales across retailers’ banners might need to be aggregated, inventory might need to be calculated across all retailer nodes, or a retailer’s stores might need to be mapped to a brand’s support territory. Keep data relevant and open to applications and users by using a single data model. The primary use cases from the brand must dictate the data model employed. The data model should be revisited periodically to ensure relevancy to the brand and incorporate changes.

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