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Chanel

Chanel

Making retail and e-commerce KPIs meaningful

Business intelligence, coordination and data quality for retail teams across four houses.

Power BIRetailE-commerceData governance
4
Houses
Retail + e-com
Channels
Power BI
BI tool

The work

Challenge

Make retail and e-commerce indicators comparable and useful for teams with different operational needs while supporting data quality.

Approach

Combine KPI monitoring with close coordination between business and IT stakeholders to clarify definitions, needs and priorities.

Contribution

I contributed to tracking indicators for four houses in Power BI, data-governance work and coordination between business and technical teams.

Impact and learning

Outcome

A more shared view of KPIs and stronger support for retail and e-commerce steering routines.

Key learning

BI creates value when definitions are stable and users can connect an indicator with an operational action.

“The elements presented here are deliberately anonymised and do not reveal any commercial information or internal systems.”

Confidentiality note, Portfolio

My approach

  • Tracked and consolidated retail and e-commerce indicators in Power BI.
  • Contributed to data-governance and data-quality topics.
  • Coordinated business needs, reporting and IT teams.
  • Adapted analysis to the contexts of four houses.

Context

Retail environments combine performance, data-quality and coordination challenges. Exact data, visuals and system names are not published here.

Contribution

This role allowed me to work with retail and e-commerce KPIs, as well as the less visible layer that makes them useful: defining needs, ensuring data reliability and connecting teams.

What this demonstrates

It reinforced a simple conviction: the best reporting tools are those that enable different teams to understand and act on the same reference points.