Enterprise Data Platform for Global QSR Operations
A leading global quick-service restaurant organization modernized its data environment to support growth, franchise operations, and enterprise-wide decision-making across more than 16,000 locations.
Fast Facts
A quick overview of the client, the challenge, and the outcome delivered.
Global QSR Data Transformation
Client: Global Quick Service Restaurant Chain Conglomerate
A large global restaurant group requiring modernization of its reporting and data infrastructure.
Situation: Inaccurate reporting and delayed insights
Excel-based reporting created low trust in numbers and slow decision-making across 16,000+ locations.
Result: Modernized data platform and real-time business intelligence
Shixa modernized the data infrastructure and implemented a management-led business intelligence system. Data now flows from over 16,000 restaurants worldwide into a centralized data warehouse, where it is continuously analyzed and reported. Leaders and teams can independently create reports and perform analysis, enabling faster and more confident decision-making. The solution delivered significant cost savings while dramatically improving data quality, accessibility, and overall business visibility.
The Business Challenge
A global quick-service restaurant with 16,000+ locations needed to modernize its fragmented data environment. Disconnected systems and complex reporting created challenges in visibility, governance, and scalability. The goal was to build a unified platform that delivers trusted, consistent insights for faster and better decision-making.
What Needed to Be Solved
Fragmented Data Ecosystem
Disconnected systems across regions with no unified enterprise data platform.
Inconsistent Reporting
Different KPI definitions created conflicting reports across geographies and teams.
Limited Visibility
Leaders lacked near real-time visibility into store performance and operations.
Data Quality & Governance Gaps
There was no centralized ownership, lineage, or quality control framework.
Scalability Constraints
Legacy systems could not support continued global expansion or advanced analytics.
Modern Enterprise Data Architecture
A scalable, governed, and analytics-ready platform was designed to unify the organization’s global data ecosystem and support faster, more trusted decision-making.
Centralized Data Platform
Built a scalable cloud-based data lakehouse integrating all core business systems.
Data Integration & Pipelines
Enabled batch and near real-time ingestion from POS, ERP, supply chain, and CRM systems.
Standardized Data Model
Created a unified semantic layer with globally consistent KPI definitions.
Data Governance Framework
Implemented cataloging, lineage tracking, access controls, and stewardship practices.
Master Data Management
Established a single source of truth for stores, products, and customers.
Analytics & Reporting
Delivered executive dashboards and self-service BI capabilities across the enterprise.
Business Impact
Near Real-Time Reporting
Reduced reporting latency from days to near real-time.
Single Source of Truth
Eliminated discrepancies across regions with standardized KPI definitions.
Improved Operational Performance
Enabled stronger demand forecasting, inventory planning, and promotion tracking.
Scalable Global Platform
Supported rapid onboarding of new locations and regions across the network.
Enhanced Decision-Making
Gave executives consistent, actionable insights across all markets and business functions.
Need a global data platform that scales with your business?
This case study shows how a modern data architecture can unify fragmented systems, improve trust in reporting, strengthen governance, and deliver faster decisions across a global operating model.