Challenges & Benefits of Retailer POS Data Use

Challenges of POS Data

Occasionally, brands might need to set user access permissions across data to filter which teams (Account, Executive, etc) get certain access to retailer data.

Raw POS data lets brands integrate this data with other data sets to derive unique insights. If a brand sponsors a sporting event, the event's data can be combined with retailer POS to better characterize purchase timing and location. Data Science teams tend to make joins across raw data sources to determine unique insights, oftentimes automated.

Retailer

Analytic Reporting

Analytic reporting may need to be created for users to get standardized views of insights. Though retailers may want the brand to present specific reports to manage the business, the brand should always consider additional reporting to derive competitive advantage. Each Data Set is Typically Unique

Standardized Insight Views

Account Team Finance Team Category Mgmt. ETC...

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