Scalable Data Pipeline & Reporting System for Fashion Brand

Country

Switzerland

Domain

Retail

Service

Data Pipeline & Reporting System Development

Cooperation time

11/2024 – ongoing

Team size

3 people

Technologies:

Azure Data Factory, Power BI, Azure KeyVault, Azure SQL Server, GraphQL, Dimensional Modelling

Background

Our client, a well-established fashion retailer from Switzerland, needed a comprehensive data pipelines and reporting system for their operational data, particularly focusing on official shop sales data. Their data sources included Shopify (via API) and historical sales data from Prestashop stored in Excel files. The goal was to integrate these sources into a single accessible database, ensuring streamlined data ingestion and automated reporting for real-time analytics.

Power BI case study

Challenges

One of the major challenges was extracting data from Shopify using their GraphQL API. Azure Data Factory (ADF) does not provide a default connector for GraphQL, making direct data querying complex. Additionally, the client required a secure and efficient way to integrate multiple data sources while maintaining data consistency and accessibility.

Reenbit PowerBI Analytics

Features

Our implemented features include the following:

  • Automated Data Ingestion: Azure Data Factory was configured to extract and process data from Shopify, ERP/PIM, and courier services automatically.
  • Unified Data Warehouse: Azure SQL Server consolidated multiple data sources into a single repository for improved data accessibility and accuracy.
  • Secure Credential Management:  Azure KeyVault ensured that sensitive data, including API keys and authentication credentials, was securely stored and managed.
  • Power BI Dashboards: Business users could create interactive pivot tables, monitor key financial metrics, and generate reports for accounting and operational teams.
  • Custom Control Reports: The system provided detailed reports to validate data accuracy and support business decision-making.case study analytics

Solution

To address these challenges, Reenbit designed and implemented a robust data pipelines and reporting solution using:

Our implemented features include the following:

  • Azure Data Factory to automate the ingestion of sales data from Shopify, Prestashop, and courier services.
  • Azure SQL Server as a centralized data warehouse to store and transform operational data.
  • Azure KeyVault for secure management of credentials, API keys, and access controls.
  • Power BI for advanced data visualization, enabling users to generate reports, build dashboards, and analyze key business metrics such as economic performance and financial trends.

powerbi case study

Outcome

Reenbit’s solution revolutionized company reporting and analytics capabilities.

Our implemented features include the following:

  • Data ingestion and reporting automation reduced manual data processing time by 50%.
  • Enhanced data accuracy and consistency by integrating multiple sources into a unified data warehouse.
  • Increased business efficiency through self-service analytics, reducing reliance on IT support for reporting.
  • Real-time visibility into financial and operational metrics, allowing better strategic planning and forecasting.
  • Improved security and compliance with Azure KeyVault, ensuring secure credential management.
  • Cost-Effective Solution: The carefully selected Azure services ensured minimal infrastructure costs while effectively handling data volumes, making the solution powerful and budget-friendly.
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