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In the fast-paced world of FMCG, quick access to accurate data is critical for making strategic decisions. But what happens when the data you’ve been relying on turns out to be inaccurate?
This is a case study about a manufacturer who had no reason to assume their monthly sales data was anything but correct. Reports were generated and ready to be distributed to key stakeholders throughout the organisation, including senior leadership teams, who were eagerly awaiting the latest sales trends.
Some troubling patterns that were difficult to detect were present in the data, these appeared to stem from restatements and miscoded SKUs. The data also showed key brand sales declining when growth was expected. This was coupled with no communication to the manufacturer from the data provider regarding expected anomalies or restatements in the most recent month’s data update.
Examination of the data exposed two issues:
Wessex Data Quality Control protocols are embedded into the manufacturers processes – with the use of AI machine learning models, abnormal changes to the data were revealed.
Error report to data agency
Possible disasters averted: