EndorsedendorsedCompleted

Transport Logistics & Traffic Management Data Platform

Services Covered:

IT Consulting
Project hero — replace with case study imagery
Industry
Industry

Information Technology

Duration
Duration

18 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 April 2017

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
71/100
Good

Project Capability Score (PCS) estimates how capable Trigma 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

mapSan Francisco, United States of America

Project Summary

A data analytics company partnered with Trigma Solutions to build large-scale data capabilities for managing transport logistics and traffic management. Trigma delivered a three-phase, multi-vendor solution using Hadoop, Spark, Java, Python, SQL and SAP HANA, met deadlines, and maintained transparent onsite-offshore collaboration with Agile practices.

Key Challenges

  • Build large-scale data and reporting capabilities to manage transport logistics and traffic management
  • Improve customer travel experience and reduce time in traffic

Project Deliverables

  • Data platform for transport logistics and traffic management
  • ETL and large-scale data processing using Hadoop and Spark
  • Analytical reports and dashboards for traffic/logistics insights
  • Onsite coordination and offshore development delivery

Project Solution

Trigma executed a three-phase, multi-vendor engagement to build a data platform for transport logistics and traffic management. They implemented large-scale data processing with Hadoop and Spark, developed components in Java and Python, integrated SQL and SAP HANA, and delivered via an onsite coordinator supported by an offshore team (3 developers, 2 QA) led by an offshore project manager.

Project Outcome

  • Project was delivered on time with no major milestones missed
  • Zero critical defects and high quality despite team size
  • Effective onsite-offshore collaboration with Agile practices and daily meetings

Platforms

  • AR/VR/XRAR/VR/XR
  • ERPERP

Tech Stack

  • Apache HadoopApache Hadoop
  • Apache SparkApache Spark
  • JavaJava
  • PythonPython
  • SQLSQL
  • SAP HANASAP HANA

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The company appreciated how the team always made their deadlines and didn't miss any of its milestones. Both parties shared relevant data and were transparent with each other throughout the project, allowing them to move forward quickly with the project.

Anonymous

Senior Manager IT

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

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