Client Background
A fast-growing beauty & wellness e-commerce company with a rapidly expanding customer base.
Challenge:Unifying Data Silos for Hyper-Personalization
- Disconnected sales, marketing, and inventory systems.
- No 360-degree customer view, leading to generic campaigns.
- Inefficient inventory management.
- Weeks-long delays in generating critical business reports.
Solution: Azure Data Lakehouse & Analytics
- Built a centralized data lakehouse on Microsoft Azure.
- Leveraged Synapse Analytics for unified ingestion, processing, and visualization.
- Used Power BI integration for self-service analytics across business teams.
Managed Services Engagement
Partnered with a DataOps-focused managed services provider.
Key activities included:
- Automated data pipelines.
- Strong data governance & quality control.
- Optimized analytics workloads for speed and cost.
Internal teams focused on insights & personalization instead of managing infrastructure.
Key Outcome
- Increased data refresh frequency by 48x.
- Reduced core software costs by 30%.
- Enabled real-time, data-driven decision-making.
Slow (Weeks)
Real-Time (Hours)
Outcome: Business Intelligence Acceleration
Heavy Machinery OEM
Manufacturing
Nov 23, 2022
