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EndorsedendorsedOngoing

Shopify Analytics Infrastructure Upgrade

Services Covered:

Data Engineering • Big Data Analytics and Business Intelligence
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Industry
Industry

Information Technology

Duration
Durationinfo-circle

8 months

Budget
Budget

10K - 49K

Start Date
Start Date

1 July 2025

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
83/100
Strong

Project Capability Score (PCS) estimates how capable Incode Group 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

DevIT Group

map Ukraine

Project Summary

Incode Group upgraded and rebuilt an analytics infrastructure for a Shopify-based project, migrating data and redesigning the data pipeline to improve stability and performance. The team transitioned the analytical layer to ClickHouse and optimized SQL queries, resulting in faster reporting and improved data quality. Their work reduced data discrepancies by about 70% and enabled near real-time reporting.

Key Challenges

  • Upgrade and stabilize analytics infrastructure for a Shopify project
  • Migrate existing analytical data
  • Rebuild and optimize the data pipeline to process ecommerce events efficiently
  • Ensure data quality, consistency, and performance optimization

Project Deliverables

  • Migration of analytical data to a new infrastructure
  • Rebuilt and optimized data pipeline for ecommerce data
  • Implementation of ClickHouse for high-performance analytics
  • Query optimization and improved reporting speed
  • Stable integration with Shopify data layer
  • Ensured data consistency and reliability across the system

Project Solution

Incode Group upgraded and rebuilt the analytics infrastructure to support reliable, high-performance processing of Shopify ecommerce events. They migrated analytical data, redesigned the data pipeline, implemented a scalable architecture, transitioned the analytical layer to ClickHouse, and optimized SQL queries and aggregation logic. The solution was integrated with the existing data layer to ensure consistent ingestion of orders, user behavior, and transaction events.

Project Outcome

  • Reporting query execution times reduced by approximately 2-3x
  • Data discrepancies between Shopify and analytics reduced by around 70%
  • Enabled near real-time reporting and faster data-driven decisions
  • System can handle larger data volumes while maintaining low latency

Platforms

  • WebWeb

Tech Stack

  • ClickHouseClickHouse
  • SQLSQL

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Incode Group's work has improved reporting speed, reduced data discrepancies by 70%, and enabled near real-time reporting. The team is communicative, responsive, and punctual. Incode Group's comprehensive understanding of data systems and workflows has contributed to the project's success.”

Alexey Cherevuta

COO

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

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