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Listing Case Study Categories: Retail

Data Integration Strategy and BI Solution for Retail Giant

Introduction

As a prominent Data and AI Company, we undertook a project for a major player in the retail industry. The client sought to consolidate data from their primary platforms, BIZOM and SAP, to generate comprehensive business intelligence reports. This case study showcases the implementation of advanced Data Integration Solutions and BI Solutions for Retail Industry. The project involved creating an Azure-based pipeline to fetch, save, transform, and publish data between systems. This Retail Analytics Integration initiative aimed to provide the client with a unified view of their operations, enabling data-driven decision-making and optimizing their retail business processes.

Challenge

The project faced several hurdles in implementing effective Retail Industry Data Solutions:

  • Complex data mapping between platforms with different structures.
  • Ensuring seamless automation and control in integration pipelines.
  • Optimizing Azure Data Factory activities for cost-effectiveness.
  • Parallel development of Power BI dashboards with integration pipelines.
  • Synchronizing data between BIZOM and SAP without impacting BI report performance.

Solution

Innovatics developed a comprehensive Data Integration Strategy for Retail, using Azure technologies:

  • Created an Azure-based pipeline using Azure Data Factory and Azure SQL database.
  • Implemented scheduled data extraction every 30 minutes for up-to-date information.
  • Developed 40+ specialized pipelines for specific data retrieval and processing needs.
  • Designed dimensional models to support detailed reporting requirements.
  • Created Power BI dashboards for actionable insights and data-driven decision-making.

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innovatics
September 30, 2024

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Devising and Executing a Customer Cohort Analysis for Retail Industry

Introduction

This case study showcases the implementation of Customer Cohort Analysis Retail for a leading Middle Eastern retailer. The project leveraged Retail Data Insights and Analytics solutions to gain a deeper understanding of customer behaviour and drive strategic decision-making. By employing Advanced Analytics for Retail, we helped the client overcome challenges in data management, customer segmentation, and retention strategies.

The Cohort Analysis for Retail Industry provided valuable insights into customer purchasing patterns, enabling the development of targeted marketing campaigns and improved product offerings. This project demonstrates the power of Retail Performance Analytics in transforming raw data into actionable insights, ultimately leading to improved customer retention, increased loyalty, and business growth.

Challenge

  • Limited access to relevant customer data scattered across silos.
  • Inconsistent data quality and difficulty in aggregating and cleaning data.
  • Defining meaningful cohorts and appropriate segmentation criteria.
  • Analysing complex customer behaviour patterns across different cohorts.
  • Implementing effective churn mitigation strategies based on Retail Data Cohort Insights.

Solution

  • Developed comprehensive Customer Behaviour Analysis in Retail using advanced cohort analysis techniques.
  • Created a centralised data warehouse to consolidate and clean data from various sources.
  • Implemented Retail Performance Analytics dashboards for easy visualisation of key metrics.
  • Designed custom cohorts based on customer type, purchase frequency, and LTV.
  • Utilised Retail Data Insights and Analytics solutions to inform targeted marketing campaigns and retention strategies.
The solution included a sophisticated dashboard that provided insights on:
  • Business unit performance
  • LTV by customer cohort and customer type
  • Orders by customer cohort and customer type
  • Total customers and churn rate
  • 30, 60, and 90-day repurchase rates
  • Repurchase rate by cohort year
  • Net Merchandise Value (NMV) by customer cohort and type

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innovatics
September 30, 2024

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Ready to Revolutionize your Business with Advanced Data Analytics and AI?