endorsedCompleted

Analytics Platform Development & Staff Augmentation for Boston Consulting Group

Services Covered:

Custom Software Development • Staff Augmentation

Industry

Software Development

Duration

23 months

Budget

1M - 10M

Start Date

1 October 2019

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

80/100

Strong

Project Capability Score (PCS) estimates how capable Capicua 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

Boston Consulting Group (BCG)

Boston, United States of America

Project Summary

Capicua provided development staff augmentation to a management consulting firm to build and refine a cloud-enabled analytics tool. They developed initial releases hosted on AWS, iterated through user-driven refinements, and re-platformed the product to Microsoft Azure while adding an API and SDK. The tool integrated with cloud storage (S3/Azure), Tableau, and Python notebooks, and significantly reduced analysis time for clients. The client praised Capicua’s technical skill, responsiveness, and seamless integration with internal teams.

Key Challenges

Consultants produced static, complex Excel/PowerPoint/Word outputs that were not cloud-enabled.
The client needed a web/cloud tool to let consultants, clients, and developers build and manipulate business-logic collaboratively.
The analytic pipeline required API output and scalability for larger data sets.
Internal design and development resources were insufficient, requiring staff augmentation and design-thinking partnership.

Project Deliverables

Analytics web application (versions 1.0 and 1.5)
REST API
Software development kit (SDK)
Re-platforming to Microsoft Azure
AWS-hosted initial deployment
Tableau integration and widget
Website builder for exporting outputs
Infrastructure and DevOps setup (Tableau servers, Python notebooks)

Project Solution

Capicua partnered with the client's internal designers and developers to build an analytics platform. They implemented versioned releases (1.0, 1.5), initially hosted on AWS, then re-platformed the product to Microsoft Azure. They ran design reviews, conducted user interviews, tracked and resolved issues through standard development cycles, and extended the product with a REST API and an SDK. The solution included data ingestion from cloud storage (S3/Azure), computation modules (R/Python), Tableau visualization integration, a simple website export capability, and infrastructure/DevOps support.

Project Outcome

The tool worked as intended and met client expectations.
Reduced data-analysis turnaround from 2–3 days to about 30 minutes for end-to-end uploads.
Increased upload capacity from a few hundred megabytes to several terabytes in cloud or 2–3 gigabytes locally.
Positive client adoption: end clients preferred the software over fragile Excel deliverables.
Improved collaboration among internal consultants and quick bug resolution and responsiveness from Capicua.

Platforms

SaaS
Web

Tech Stack

React.js
Node.js
Python
Amazon Web Services (AWS)
Azure

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The tool Capicua helped build worked well and streamlined the client’s work; their data analysis time went from 2–3 days to half an hour. They were timely, excellent at taking feedback, and collaborative through Jira. Their technical abilities and integration with the client’s team stood out.”
Kaveh Noorbakhsh
Former Product Onwer & Sr. Technical Program Manager
Date: 12/26/2022