EndorsedendorsedCompleted

AI Integration & Data Analytics Platform for Multinational IT Firm

Services Covered:

AI and Machine LearningBig Data Analytics and Business IntelligenceData Engineering
Project hero — replace with case study imagery
Industry
Industry

Information Technology

Duration
Duration

4 months

Budget
Budget

Confidential

Client Size
Start Date

1 February 2020

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
69/100
Good

Project Capability Score (PCS) estimates how capable Dataeaze Systems 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

mapTokyo, Japan

Project Summary

A multinational IT company engaged Dataeaze Systems to build a data analytics and visualization system integrating AI and distributed computing tools. The vendor handled requirement gathering through development and used technologies such as Ansible, Docker, Apache Spark and Hadoop. The client reported that the delivered work exceeded their standards and praised the team's technical understanding; communication was handled via email.

Key Challenges

  • Create a data analytics and visualization system using AI and distributed computing
  • Seamlessly integrate AI and distributed computing technologies
  • Automate most routine tasks

Project Deliverables

  • Data analytics and visualization system
  • AI integration and distributed computing components
  • Automation of routine tasks
  • Requirement gathering and development deliverables

Project Solution

Dataeaze conducted requirement gathering and full-cycle development to deliver a data analytics and visualization system. The team integrated AI and distributed computing technologies and automated tasks, using tools such as Ansible, Docker, Apache Spark, Apache Hadoop, Delta Lake and MLflow. The vendor staffed the engagement with a five-person team (3 engineers and 2 senior executives) and communicated with the client primarily via email.

Project Outcome

  • Continued engagement with the vendor for additional projects
  • Work exceeded the client's standards, leading to high client satisfaction
  • Timely email-based communication allowed the project to finish as planned

Platforms

  • WebWeb
  • CloudCloud

Tech Stack

  • Apache SparkApache Spark
  • Apache HadoopApache Hadoop
  • AnsibleAnsible

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Dataeaze Systems delivered the final output beyond the client's initial standards. Communication between both ends went on an as-needed basis via email. Above all, the team's understanding and knowledge stood out during the engagement.

Sandaruwan Ranaweera

Assistant Manager

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

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