EndorsedendorsedOngoing

Data Lake & Analytics Platform for Fashion Retailer

Services Covered:

Big Data Analytics and Business IntelligenceCustom Software Development
Project hero — replace with case study imagery
Industry
Industry

E-commerce & Retail

Duration
Duration

41 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 March 2023

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
84/100
Strong

Project Capability Score (PCS) estimates how capable Sparksupport Infotech Pvt Ltd 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

Primark

mapAmsterdam, Netherlands

Project Summary

SparkSupport Pvt Ltd developed a data strategy and built an analytics platform for a fashion retail company, standing up a data lake on S3, a Snowflake warehouse layer, and a Sisense reporting layer. The engagement enabled near-real-time reporting and supported better ad-spend and product decisions. The client praised the team's prioritization and workflow improvements, including adding a part-time project manager to streamline requests.

Key Challenges

  • Transition from developer to developer-and-publisher (self-publishing)
  • Build a full end-to-end data strategy and technology stack
  • Collect end-user analytics and generate fast, actionable reports for user acquisition

Project Deliverables

  • Data lake on Amazon S3
  • Data warehouse on Snowflake
  • Reporting layer on Sisense
  • Integration of Adjust for campaign tracking
  • End-to-end data pipeline and alerting

Project Solution

SparkSupport designed and implemented a data strategy and MVP analytics stack: they built a data lake on S3, a warehouse layer on Snowflake, and a reporting layer on Sisense. They integrated campaign data from Adjust and tuned the pipeline to deliver near-real-time reports for user-acquisition and business decision-making. The team also added a part-time project manager to prioritize requests and improve workflow as the engagement scaled.

Project Outcome

  • Comprehensive near-real-time reporting for many live games
  • Enabled data-driven decisions on ad spend and development focus
  • Improved workflow and request prioritization via a part-time project manager

Platforms

  • CloudCloud

Tech Stack

  • SnowflakeSnowflake
  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Thanks to SparkSupport Pvt Ltd's efforts, the client now has comprehensive, near-real-time reporting on many of their live games. The team is great to work with and excellent at their jobs. The client is impressed with the team's ability to prioritize tasks and streamline the workflow.

Janet Harrington

Assistant Manager

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

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