CASE STUDY Detail

Building a Greenfield Data Lake with ETL Pipelines for Enhanced Financial Planning and Profitability

Industry
Retail
Technologies
Databricks
capabilites
Data Foundation & Value Management

Business Impact

Smarter Financial Planning

Efficient Supply Chain Management

Marketing ROI Optimization

Proactive Customer Support

Table of Contents

Business Objective / Goal

To design and implement a robust ETL pipeline for seamless integration of disparate data sources—enabling real-time access, data quality, and advanced analytics that support improved financial planning, operational efficiency, customer experience, and data-driven decision-making.

Solutions & Implementation

  • Used Databricks for large-scale ingestion from Shopify, Klaviyo, Gorgias, and GA; centralized in Azure BLOB. RPA automated extraction, reducing errors and effort.
  • Leveraged Delta Live Tables for cleansing, enrichment, and structuring based on departmental analytics needs.
  • Stored data in PostgreSQL; integrated Power BI for dashboards and financial reporting.
  • Delivered clean, structured data via Databricks to support ML, forecasting, and advanced analytics.
  • Used RPA and automated pipelines to ensure reliable, timely data operations.

Major Technologies Used

  • Databricks – Data ingestion, transformation, and analytics
  • Azure BLOB Storage – Centralized raw/processed data store
  • Robotic Process Automation (RPA) – Automated source extraction
  • PostgreSQL – Structured, relational database
  • Power BI – Dashboards and interactive visualization

Business Outcomes

  • Smarter Financial Planning Improved financial planning with real-time dashboards for P&L, balance sheets, and COGS margin analytics—enabling better strategic budgeting and forecasting.
  • Efficient Supply Chain Management Reduced supply chain inefficiencies with live dashboards supporting timely procurement and preventing stockouts.
  • Marketing ROI Optimization Optimized marketing effectiveness, improving ROI through granular campaign and ad performance insights.
  • Proactive Customer Support Enhanced customer service operations by analyzing interaction patterns and enabling proactive support.
  • Culture of Data-Driven Innovation Instilled a data-driven culture, promoting innovation, agility, and long-term business resilience.

Customer Feedback

“Aptus Data Labs has provided comprehensive services in implementing and maintaining our data science capability. Their robust data lake integrates multiple disparate data sources and provides critical KPIs and real-time dashboards essential for daily and strategic operations. Aptus significantly elevated our internal efforts, offering seamless data sciences, engineering, system integration, and infrastructure support remotely. I highly recommend Aptus as a reliable partner for any organization's data science needs.”
Chief Technology & Transformation Officer, ABC Company

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