endorsedCompleted

Data Analytics System for IT Training Company INE

Services Covered:

Big Data Analytics and Business Intelligence • Custom Software Development • Staff Augmentation

Industry

Education

Duration

3 months

Budget

Confidential

Start Date

1 July 2022

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

75/100

Good

Project Capability Score (PCS) estimates how capable NaNLABS 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

INE

Cary, United States of America

Project Summary

NaNLABS developed a scalable, cost-efficient data analytics system for INE's IT training platform to collect, store, and analyze high volumes of event data. The solution handled thousands of concurrent users and millions of daily events, and was integrated to work with BI tools such as AWS QuickSight. The client reported positive feedback about NaNLABS’ responsiveness, collaboration, and delivery.

Key Challenges

Analysis of a data engineering solution and evaluation of alternatives
Design and implementation details to handle thousands of concurrent users and millions of events per day
Deliver a scalable, cost-efficient analytics infrastructure

Project Deliverables

Scalable analytics system for INE's platform
Data ingestion and storage pipeline to handle high-volume events
Dashboards and BI integration compatible with AWS QuickSight
Performance tuning and caching to enable millisecond default chart responses

Project Solution

NaNLABS collaborated with the client on data engineering design and implementation, producing a new analytics system able to collect, store, and analyze very high volumes of events. The team designed a scalable, cost-efficient architecture that supported thousands of concurrent users, integrated with APIs and BI tools (AWS QuickSight), and implemented performance measures (caching and optimizations) to achieve low-latency dashboard responses.

Project Outcome

Concurrent users were able to query analytics dashboards
Default chart response times achieved in the order of milliseconds (via caching or other mechanisms)
Custom charts and dashboards returned results in the order of seconds
Infrastructure adapted to be queried by APIs and BI tools (AWS QuickSight)

Platforms

Cloud

Tech Stack

Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“NaNLABS’ work received positive feedback from the client. Their collaborative and communicative approach resulted in a positive partnership. They were responsive and collaborative throughout the process.”
Santiago Basulto
Head of Product
Date: 03/13/2023