iLink Helped Drive Forecast Accuracy and Operational Agility at Scale

Client Overview

A leading global quick-service restaurant (QSR) brand operating worldwide, the organization delivers high-volume, customizable food experiences through a predominantly franchised model. With the rapid growth of digital ordering and delivery channels, the business has seen a significant increase in order complexity and variability, particularly during peak and late-night hours—driving the need for more intelligent, data-driven operational planning.

_Industry: QSR | Company Size: 10K+ Employees |Headquarters: CA, USA _

The Challenge: Workforce Planning in a High-Variability Environment

As customer demand patterns became more dynamic and unpredictable, workforce planning grew increasingly complex. Labor scheduling relied heavily on manual judgment and historical experience rather than real-time data insights, leading to inefficiencies across operations.

• Labor schedules not aligned with actual demand patterns
• Inconsistent customer experience during peak hours
• Labor cost inefficiencies during slower periods
• Limited visibility for leadership to optimize workforce strategies across locations

They sought to implement a unified, data-driven approach, scaling workforce efficiency across thousands of locations remained a critical challenge.

Solution Approach: Building a Data-Driven Workforce Analytics Platform

iLink Digital designed and implemented a modern workforce analytics platform powered by Microsoft Fabric and OneLake.

Key Implementation Highlights

Unified Cross-Cloud Data Access: Leveraged OneLake shortcuts to access AWS S3 JSON data and Apache Iceberg tables directly, eliminating large-scale data replication.

Cross-Platform Analytics Without Data Movement: Large forecasting datasets stored as Apache Iceberg tables in AWS were accessed directly via OneLake shortcuts.

Using Spark notebooks in Fabric:

• Forecast calculations were executed directly on the Iceberg data
• Billions of rows were processed without ingestion pipelines

Results:

• 80% reduction in processing time
• Significant reduction in Fabric capacity consumption
• Scalable processing for high-volume datasets

This architecture demonstrates the power of open table formats and cross-platform data interoperability enabled by OneLake.

Hybrid Data Ingestion Strategy: Integrated operational data from AWS Redshift into OneLake using Dataflow Gen2 pipelines with incremental refresh for efficiency.

High-Performance Analytics with Direct Lake: Built Power BI semantic models using Direct Lake mode to enable direct querying of OneLake tables, near real-time analytics without traditional refresh bottlenecks.

Secure Role-Based Access Control: Row-Level Security (RLS) was implemented to enforce governance across organizational roles:

• Restaurant General Managers see store-level insights
• Area Leaders access multi-store performance
• Central leadership views regional trends

This ensured secure data sharing across thousands of restaurants.

Key Deployment Drivers

Unified Data Access Across Clouds: Established a single analytics layer across AWS and Fabric environments without complex data movement.

Cross-Cloud Analytics Without Replication: Leveraged OneLake shortcuts to process Apache Iceberg datasets directly, avoiding ingestion of billions of rows.

Near Real-Time Workforce Insights: Enabled timely, data-driven scheduling decisions aligned with dynamic demand patterns.

Scalable Analytics Platform: Built a high-performance foundation capable of supporting thousands of locations at scale.

Business Impact: Driving Smarter Workforce Decisions at Scale

The transformation delivered measurable operational and business value:

• The Microsoft Fabric powered analytics platform enabled the customer to:

1. Optimize labor scheduling across restaurants
2. Reduce labor cost inefficiencies
3. Improve customer experience during peak demand
4. Provide leadership with visibility into workforce utilization

• 80% Faster Forecast Processing – By leveraging OneLake shortcuts over Apache Iceberg datasets, forecasting calculations were executed directly on external data without large-scale ingestion pipelines.

• The solution is currently serving more than 5000 stores across United States.

• To provide the restaurant general managers with the ability to schedule labor demand up to 3 weeks in advance, ensuring cost effective and efficient use of labor.

Why OneLake Was a Strategic Advantage

• Enabled seamless cross-cloud data access without duplication
• Simplified architecture by unifying data across platforms
• Supported open table formats like Apache Iceberg
• Reduced storage and compute overhead
• Provided a scalable foundation for real-time analytics and AI

The Road Ahead: Scaling Intelligence Across Global Operations

With a robust workforce analytics platform in place, the organization is now focused on expanding the solution globally while exploring AI-powered capabilities such as conversational analytics and predictive workforce optimization. This next phase will further empower business users with real-time, intelligent insights to drive operational excellence at scale.

Why iLink Digital

iLink Digital combines deep Microsoft Data & AI expertise with proven execution to help enterprises transform complex data ecosystems into scalable, insight-driven platforms. As an Azure Expert MSP with multiple Advanced Specializations and a Microsoft Fabric Featured Partner with production deployments at scale iLink has delivered multiple enterprise-grade implementations. Our clients span Manufacturing, Retail, Healthcare and Life Sciences, Energy, and more.