EndorsedendorsedCompleted

SQL Data Warehouse and Forecasting for Outdoor Equipment Retailer

Services Covered:

Big Data Analytics and Business IntelligenceData EngineeringData IntegrationDatabase Development and ManagementManaged IT Services
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Industry
Industry

E-commerce & Retail

Duration
Duration

13 months

Budget
Budget

10K - 49K

Client Size
Start Date

1 March 2021

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
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

map Vietnam

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

  • SaaSSaaS

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)
  • SQLSQL
  • S3S3
  • Power BIPower BI

Client Endorsement

Overall Review Rating

4.88star5 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.

Anonymous

Demand & Operation Planning Mngr

Note: This endorsement is based on publicly available client feedback from external review sources.

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