Fortune 500 Retailer
Optimizing E-commerce Analytics for a Fortune 500 Retailer
My Role
Market Specialist / Strategic Consultant (at Accenture)
I managed a team that delivered advanced analytics solutions for a global retailer, reducing manual reporting time by 30% and enabling faster strategic decisions.
The Story
Drowning in Data, Starving for Insight
The client had massive amounts of e-commerce data but couldn't act on it quickly. It took the marketing team weeks to compile monthly performance reports, by which time the opportunity to react to market trends was lost.
Creating a Single Source of Truth
- Centralized Analytics Hub: I managed a 10-member marketing analytics team to design and build a centralized reporting hub using Microsoft Power BI.
- Data Integration & Automation: We integrated data streams from Adobe Analytics (on-site behavior), Salesforce (customer data), and social listening tools (brand perception) into automated dashboards.
- From Reporting to Analysis: By automating the manual reporting, we freed up the client's team by over 30%. This allowed them to shift their focus from building reports to analyzing the data and uncovering growth opportunities, such as identifying underperforming product categories or optimizing marketing spend.
Core Challenge
A Fortune 500 retailer's e-commerce division was data-rich but insight-poor. Their data was siloed across dozens of systems, and manual reporting was slow and error-prone, delaying critical business decisions.
My Role
Team Management • Marketing Analytics • Data Visualization • Process Optimization
Timeline
12-Month Engagement
Tools & Tech
-30%
Reduction in Manual Reporting Time
10
Member Analytics Team Managed
5+
Disparate Data Systems Unified
4x
Faster Identification of E-commerce Trends