Pricing analysis, ETL pipeline to analyze pricing in a retail company

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Challenge

Ideal Standard, a leading manufacturer of bathroom products, faced challenges in efficiently analyzing pricing across their vast product catalog. Manual processes involving large Excel files were time-consuming, error-prone, and hindered data-driven decision-making.

Solution

Velvet Lab developed a robust ETL (Extract, Transform, Load) pipeline to automate the process of collecting, cleaning, and analyzing pricing data. This pipeline integrated with Ideal Standard's existing ERP systems, to extract relevant information.

The ETL pipeline utilized Node.js for data processing and transformation, ensuring efficient and scalable operations. PowerBI was employed to create interactive dashboards that provided real-time insights into pricing exceptions, enabling Ideal Standard to identify trends, anomalies, and potential pricing errors.

Impact

  • Enhanced Efficiency: The ETL pipeline automated the entire process of pricing analysis, significantly reducing manual effort and time spent on data manipulation.
  • Improved Data Accuracy: By automating data cleaning and validation, the pipeline minimized errors and ensured the reliability of pricing data.
  • Real-time Insights: PowerBI dashboards provided up-to-date visualizations of pricing, enabling Ideal Standard to make timely decisions and address issues promptly.
  • Data-Driven Decision Making: The pipeline empowered Ideal Standard to leverage data-driven insights for pricing optimization, identifying opportunities to increase profitability and maintain competitive pricing.

Technology Stack

  • ETL Pipeline: Node.js
  • Data Warehouse: SQL Server
  • Business Intelligence: PowerBI

By partnering with Velvet Lab, Ideal Standard was able to streamline their pricing analysis process, enabling them to make more informed decisions and improve operational efficiency.

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