SQL Data Warehouse and Forecasting for Outdoor Equipment Retailer
Services Covered:

Industry
E-commerce & Retail
Duration
13 months
Budget
10K - 49K
Start Date
1 March 2021
Team Size
1-5 Employees
Engagement Model
Onshore
Project Capability Score (PCS)
70/100
Good
Project Capability Score (PCS) estimates how capable Synodus is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
Confidential
Project Summary
Synodus built an SQL data warehouse and Power BI reporting system for an outdoor equipment e-commerce company, optimizing data models and BI visuals and implementing a sales forecasting model. The project centralized data updates (every 10 minutes), improved report performance, and supported cost-optimization for warehousing and shipping.
Key Challenges
- Data came from many sources and was difficult to monitor
- Centralized .csv files on AWS S3 were not optimized for querying, causing slow loads (40s)
- BI reports were slow to load and limited in scope
- Company structure complicated report distribution
- High warehousing costs due to large storage needs
Project Deliverables
- Data warehouse on SQL database with 10-minute updates
- Optimized BI reports and data model (DAX) in Power BI
- Reporting system covering sales, marketing, finance, and customer support
- Sales and revenue forecasting model to estimate imports
- Row-level security (RLS) consultation and implementation
Project Solution
Synodus built a SQL-based data warehouse with data refreshed every 10 minutes, optimized the data model and DAX in existing BI reports, and developed a Power BI reporting system covering sales, marketing, finance, and customer support. They created a periodic sales and revenue forecasting model and recommended/implemented row-level security (RLS) to enforce department-based access.
Project Outcome
- Report load times reduced from 40 seconds to 3 seconds
- Warehousing costs reduced by 23%
- Improved accuracy in shipment and courier cost calculations
- Weekly/monthly report deliveries and improved team responsiveness
Platforms
SaaS
Tech Stack
Amazon Web Services (AWS)
SQL
S3
Power BI
Client Endorsement
Overall Review Rating
4.88
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Synodus' new data model for the client's sales reduced the cost of warehousing by 23%. They optimized the gap between courier shipping costs and fees, as well. They had an effective organizational structure with a responsive structure.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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