Reimagining Data Analytics for Haldiram Snacks with Advanced Microsoft Fabric Integration

Reimagining Data Analytics for Haldiram Snacks with Advanced Microsoft Fabric Integration

Introduction

Haldiram Snacks Pvt Ltd, part of the retail conglomerate Haldiram, is a billion-dollar company founded in 1937. Renowned for its commitment to quality and traditional recipes, Haldiram offers a wide range of savory snacks, sweets, and ready-to-eat meals. The company ensures superior taste and freshness through stringent quality control measures, embraces innovation while staying rooted in tradition, and expands its global presence to cater to diverse consumer preferences. Additionally, Haldiram prioritizes corporate social responsibility, engaging in community development and environmental initiatives, epitomizing India's culinary heritage and spreading joy with every delicious bite.

Business Challenge:

Haldiram Snacks Pvt Ltd required a robust data analytics platform to handle data quality, data integration, data governance, and data security, along with generating productive insights through dashboards. The existing reliance on Excel sheets for data-dependent activities was time-consuming and error-prone, necessitating a comprehensive solution to improve data processing and insight generation.

Our solution and its Impact:

Quadrant Technologies demonstrated its capabilities and case studies around Data Analytics and important enhancements using Fabric. We provided Haldiram with a detailed roadmap to establish a robust data analytics platform. As part of a Proof of Concept (POC), we integrated diverse data sets and ingested data into OneLake, improved data quality using Spark notebooks, and generated Executive and Sales dashboards based on customer requirements to display key performance indicators (KPIs) and metrics.

The primary goal was to transform and integrate data into a Lakehouse from SAP and Field Assist API, utilizing dataflows or shortcuts. Rigorous data cleansing was conducted through notebooks and dataflows, ensuring data quality and integrity. Data transformations were performed using Python notebooks to improve data quality and generate insightful analytics to enhance business value. Additionally, Azure Purview was utilized to emphasize robust data governance practices, ensuring data compliance and reliability.

Technologies Used:

- SAP and Field Assist API

- OneLake

- Spark notebooks

- Python notebooks

- Azure Purview

Conclusion

Quadrant's streamlined approach to understanding customer data and providing the right insights through Fabric adoption proved highly effective. The quick POC implementation instilled confidence, and the single interface for handling data facilitated ease of use for different personas. The transformation of existing data analytics enabled the creation of rich dashboards for leadership to understand the sales and business portfolio region-wise and product-wise. With this robust analytics platform, Haldiram can monitor sales and forecast demand for their products, improving the overall inventory pipeline. Integration with discrete data sources like SAP and Field Assist into Fabric enhanced data quality and consistency, creating a unified platform for comprehensive data insights.

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