Enterprise Software Development for Hogarth Worldwide
Services Covered:

Industry
Advertising & Marketing
Duration
46 months
Budget
Confidential
Start Date
1 July 2013
Team Size
21-25
Engagement Model
Nearshore
Project Capability Score (PCS)
77/100
Good
Project Capability Score (PCS) estimates how capable STX Next 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
Hogarth Worldwide
Project Summary
STX Next provides long-term development augmentation to Hogarth, working on four enterprise web application products primarily with Python for development, testing, QA, refactoring, and new features. The vendor integrates into Hogarth’s Agile processes and tools (JIRA, Confluence) and has scaled from peak engagement (~40 engineers) to a stable team (~25). Collaboration has produced dependable, high-quality output with minimal bureaucracy, and the engagement began in July 2013.
Key Challenges
- Couldn’t recruit Python developers quickly enough at the scale needed in London.
- Needed additional development bandwidth to support multiple enterprise products.
Project Deliverables
- Enterprise web applications
- New features
- Bug fixes
- Refactored legacy code
- Automated test suites
Project Solution
STX Next worked on four enterprise web application products for Hogarth, providing Python software development, testing, and QA. Their work included building new features, fixing bugs, refactoring legacy code, and writing automated tests, while integrating with Hogarth’s Agile processes and tools. STX managed recruitment and team composition based on Hogarth’s requirements, scaling teams as needed (peak ~40 engineers; currently ~25) and operating remotely from Poland with nearshore collaboration to the UK.
Project Outcome
- Zonza, the enterprise DAM product, is used by customers in over 100 countries.
- Solid, high-quality, dependable development augmentation and good value for money.
- Seamless integration into Hogarth’s workflow using JIRA and Confluence.
- Long-term retention of STX engineers with deep technical knowledge of the products since 2013.
Platforms
Web
Tech Stack
PythonJira
Confluence
Client Endorsement
Overall Review Rating
4.25
4 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“Collaboration with STX Next throughout several challenging engagements ensured both timely conclusions and favorable outcomes. Unexpected turnover is rarely an issue and excessive bureaucracy never undermines critical progress.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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