Empowering Franchise Partners with Snowflake & Streamlit for Faster Analytics and Lower Costs

Executive Summary

A leading India-headquartered Quick Service Restaurant (QSR) chain operating through a nationwide network of franchisee-owned outlets. Franchise partners and their store teams rely heavily on timely insights into sales, product performance, and customer experience to run daily operations and drive business outcomes.

Key Business Challenges

1. Poor User Experience

The organization’s analytics stack was built on BigQuery as the Data Warehouse and Looker for visualization. Key data sources included:

• Point-of-Sale (POS) System
• Google Sheets
• Delivery App Partner data

However, the ingestion and processing pipeline was slow, leading to:

• Dashboards taking a long time to load
• Repeated query failures and low system responsiveness
• Users abandoning dashboards and reverting to manually prepared spreadsheets
• Significant lag in decision-making at the franchise level

Despite multiple query optimizations, the overall user experience remained poor.

2. High Cloud Infrastructure Costs

Long-running queries and inefficient processing cycles on BigQuery led to:

• Escalating cloud compute costs
• Difficulty predicting consumption
• Limited ability to scale analytics across the franchise network

Solution: Snowflake + Streamlit Modern Analytics Platform

To modernize the analytics landscape, the organization adopted a Snowflake-powered architecture, replacing BigQuery as the central data warehouse. Streamlit was leveraged for fast, fully interactive dashboards built natively on Snowflake.

Key Components of the Solution

1. Efficient Data Ingestion with Azure Data Factory (ADF)

All existing data sources — POS systems, Google Sheets, and delivery partner feeds — were integrated into Snowflake via MS Azure Data Factory.

This enabled:

• Seamless, automated, near-real-time ingestion
• Faster workflows for more up-to-date insights
• Improved reliability for franchise owners

2. Transformation Layer Optimized on Snowflake

Using Snowflake’s elastic compute and micro-partitioning features, transformation pipelines became dramatically faster:

• Workflows that previously took minutes now completed in seconds
• Performance remained consistent even as data volumes grew
• Highly scalable processing for expanding franchise operations

3. Streamlit as the Visualization Layer (Replacing Looker)

Streamlit, running natively within Snowflake, became the new UI for franchise analytics.

Benefits included:

• Dashboards loading almost instantly
• Lightweight, interactive views built specifically for franchise owners
• Rapid deployment cycles—new features rolled out in days, not weeks
• Elimination of heavy BI tool licensing costs

Outcomes

50%+ Faster Performance

• Significant improvements in ingestion, transformation, and dashboard load times
• Franchise users fully shifted from manual spreadsheets to automated dashboards

30% Reduction in Infrastructure Costs

• Optimized compute usage reduced monthly cloud spend
• Streamlit eliminated licensing costs associated with heavier BI tools

Better, Faster Franchise Decision-Making

• Real-time insights into demand trends, product performance, and outlet-level KPIs
• Faster decisions improved store operations and customer experience
• Consistent analytics experience across all franchise outlets

A Scalable, Modern Data Stack

The new platform is future-ready, enabling seamless expansion to:

• Additional franchise outlets
• New data sources
• Advanced analytics and AI-driven use cases

All without compromising performance.

SaasWorx, a certified Snowflake partner, helps enterprises reimagine their data architecture for agility, scalability, and real-time visibility.

Request a Demo to explore how SaasWorx can accelerate your Snowflake journey.

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