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Project Duration
9 Months
Client Industry
Fashion and lifestyle
Target Markets
Europe and UAE

Dr Barbara Strum

Enterprise Data Warehouse & 360° BI Dashboards for Web + SPA Integration

Technology Stack

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Client Overview

Challenges in Modeling Subscription and Business Metrics

Dr. Barbara Sturm is a globally renowned skincare brand that blends cutting-edge science with luxury wellness. Known for its anti-inflammatory approach and high-performance products, the company operates multiple e-commerce websites and beauty SPAs worldwide. It offers a range of skincare solutions rooted in molecular science, catering to clients seeking personalized, clinical-grade beauty and wellness treatments.

Solutions Delivered

Cloud-Based Data Warehouse Integration

Automated ETL and Workflow Orchestration

Interactive BI Dashboards

Agile Project Collaboration Environment

Team Composition

Data Engineers

BI Analysts

Cloud Infrastructure Specialists

Agile Project Managers

Engagement Type

9-Month Fixed-Term Contract


Key Challenges

Tackling Integration, Automation, and Agility in a Tight Timeline

Complex Data Integration

Varying formats and fragmented sources across SPAs and websites.

Workflow Tools Integration

Needed seamless configuration of Airflow, Dataproc, and Looker Studio

Agile Scope Management

Required flexibility and adaptability during the 9-month window.

Strategic Roadmap

The team designed a unified analytics environment using BigQuery as the data core. Airflow orchestrated job scheduling, while Dataproc processed high-volume datasets. A Google Cloud Functions layer supported automation, and dashboards were developed in Looker Studio using agile delivery to track KPIs. Project collaboration was maintained through JIRA and Confluence, ensuring visibility.

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The project involved a robust warehouse design and data modeling strategy using BigQuery to seamlessly accommodate both historical and real-time data from multiple channels.

Execution Approach

End-to-End Data Pipeline With Scalable Insights and Team Alignment

The project involved a robust warehouse design and data modeling strategy using BigQuery to seamlessly accommodate both historical and real-time data from multiple channels.
ETL orchestration was managed through Airflow and Dataproc, enabling scheduled ingestion and transformation jobs capable of handling high data volume and velocity. For business intelligence, Looker Studio was used to deliver interactive, multi-dimensional dashboards segmented by location, service type, and time, providing actionable insights.
To ensure alignment across engineering, BI teams, and stakeholders, collaboration was streamlined using JIRA and Confluence, fostering transparency and cross-functional coordination throughout the project lifecycle.

BUSINESS IMPACT

Streamlined Data Handling
Faster Time to Insight
Improved Decision-Making
Enhanced Cross-Team Collaboration

30%

Reduction in manual data handling and reporting overhead

45%

Cost savings from automation and optimized resource allocation

20%

Faster decision-making enabled by real-time, accessible dashboards