LUXURY

Overhauling the cosmetics evaluation database and capitalizing on data

#Dataviz

#Dataiku

#Cloud

#Ambition

Ambition
of the mission

Within the Market and Consumer Intelligence department, the cosmetic evaluation center carries out hundreds of tests each year in various regions of the world to assist marketing teams in the development of their brands and products. These tests help to better understand the current perception of products on the market and consumer expectations. To increase the number of tests carried out, to make the analyses more reliable and to relieve the teams of redundant, tedious tasks, our team was commissioned to rework the cosmetic evaluation database, which no longer met the current needs of the service, and to valorize their data by making them more explicit and easily shareable.

#Method

Our
approach

Think

Pushing the Boundaries

The current process had numerous limitations: manual entry of all results into a database (input errors), no storage and exploitation of raw data, limited statistical calculations and the absence of certain data. Eulidia proposed the tools needed to push the limits of the current database.

Make

Data capitalization

By reworking the history of raw data and taking advantage of the power and availability of the cloud, we were able to build a process, accelerating the productivity of the teams. At the end of the chain, we placed a monitoring tool allowing the automation of the gradual steps of the current process and a more extensive, reliable and complete analysis of sensory analysis studies (comparison to the average, analysis by panel category, etc.).

Scale

Autonomy and flexibility

The infrastructure has been deployed in production and the reporting tool is available for all teams. They have been trained in the new process, are now autonomous and they can then devote more time to training panelists, managing analysis sessions or even summarizing the results.

#Benefits

Indicators
of success

Effective tool And Simpler

Decrease in Time Dedicated to each task

Better Valuation Data

#DataStories

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other use cases

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