Django Web Portal & Data Layer for Banking Aggregator
Services Covered:

Industry
Financial Services
Duration
8 months
Budget
10K - 49K
Start Date
1 May 2021
Team Size
1-5
Engagement Model
Offshore
Project Capability Score (PCS)
79/100
Good
Project Capability Score (PCS) estimates how capable PLANEKS 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
TESORALIA
Project Summary
PLANEKS developed a Django-based web portal and data access layer for a Madrid-based banking aggregator from May 2021 to Jan. 2022. They held several kick-off meetings, documented requirements and goals, and delivered the portal using an agile process with weekly sprints. The client praised PLANEKS' Django expertise and adherence to deadlines.
Key Challenges
- Implement a complete new web portal using the Django framework
- Build a data access layer to support the banking aggregator platform
Project Deliverables
- Web portal
- Data access layer
- Documented requirements and project documentation
Project Solution
PLANEKS ran multiple kick-off meetings to gather and clarify well-documented requirements, then developed a Django-based web portal and a data access layer. They worked in an agile manner with weekly sprints and delivered the agreed milestones on schedule. The engagement was staffed by a project manager and one software developer.
Project Outcome
- All milestones were achieved on time
- Project completed successfully (100% successful)
- Client praised the vendor's Django expertise and solution quality
Platforms
Web
Tech Stack
Django
Python
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
PLANEKS completed the project on schedule while maintaining an Agile workflow and conducting weekly sprint meetings. We valued the team's strong Django expertise and ability to deliver high-quality solutions, which were key strengths of the collaboration.
Note: This endorsement is based on publicly available client feedback from external review sources.
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