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Badge Dr Barbara Strum

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

Project Duration

9 Months

Client Industry

Fashion and lifestyle

Target Markets

Europe and UAE

Technology Stack

Client Overview

We Understand Our Clients Best to Provide them the Best Solutions

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

Key Challenges

Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding

Disconnected

Complex Data Integration

Varying formats and fragmented sources across SPAs and websites.

Inefficient Reporting

Workflow Tools Integration

Needed seamless configuration of Airflow, Dataproc, and Looker Studio

Limited Intelligence

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.

Project collaboration was maintained through JIRA and Confluence, ensuring visibility and agile delivery.

Strategic questions that informed execution:

● How do we centralize digital and in-store data for unified reporting?

● What workflow automation reduces time-to-insight?

● How can we future-proof the analytics layer for business scale?

● What tools support agile delivery without sacrificing technical depth?

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.

Execution Diagram
Business Impact

BUSINESS IMPACT

Streamlined Data Handling

Faster Time to Insight

Improved Decision-Making

Enhanced Cross-Team Collaboration

Business Impact Illustration

30%

Reduction in manual data handling and reporting overhead

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25%

Cost savings from automation and optimized resource allocation

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40%

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

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50%

Improvement in cross-team collaboration through unified workflows and tools

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