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BI & Analytics for E-Commerce Business

Services Covered:

Big Data Analytics and Business Intelligence • Data Engineering • API Development • Data Analytics
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Industry
Industry

E-commerce & Retail

Duration
Durationinfo-circle

11 months

Budget
Budget

200K - 999K

Start Date
Start Date

1 June 2018

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
72/100
Good

Project Capability Score (PCS) estimates how capable NeenOpal Inc. 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

The Healthy Mummy Pvt. Ltd

mapSydney, Australia

Project Summary

NeenOpal developed a data lake for an e-commerce company, connecting operational LAN inventory systems to a BI reporting layer and building distinct APIs for third-party integrations. They modified Azure connectors where necessary and removed reporting from operational systems into the data lake. The vendor also provides ongoing analysis and supports campaign management; the client reports timely delivery, high analytical accuracy, and regular attainment of key KPIs.

Key Challenges

  • Build a data lake and manage reporting for a startup with evolving requirements.
  • Need for vendor flexibility due to unclear or changing requirements.

Project Deliverables

  • Data lake built from scratch
  • APIs for third-party integrations (batch and scheduled APIs)
  • BI reporting layer on top of the data lake
  • Data pipeline monitoring and alerting

Project Solution

NeenOpal built a data lake from scratch that connects to the client's operational LAN inventory systems and exposes a BI reporting layer. The team developed distinct APIs (batch and scheduled) to gather data from specific systems and modified Azure connectors where data was insufficient. They extracted reporting from operational systems into the data lake, provided campaign management and business analysis support, and maintained a single point of contact with embedded full-time analyst resources and additional supporting staff as needed.

Project Outcome

  • Timely delivery of the data lake.
  • High numerical accuracy in data analysis and reporting.
  • Regular attainment of key KPIs that support daily operations and order flow.

Platforms

  • CloudCloud
  • E-commerce PlatformE-commerce Platform

Tech Stack

  • AzureAzure
  • WoocommerceWoocommerce
  • JiraJira
  • ConfluenceConfluence

Client Endorsement

Overall Review Rating

4.75star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Our e-commerce company now depends on the valuable work NeenOpal Intelligent Solutions Pvt. Ltd. produced for its daily operations. They hit the KPIs we set, which drives our business growth. They don't stop at meeting requirements, either. They build on the concept with fresh ideas of their own.

Saurabh Bhola

CTO

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

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