A leading QSR franchisee turbocharged their insights
A leading QSR franchisee turbocharged their insights by developing data quality dashboards to monitor, detect, and resolve inconsistencies.
Data Transformation for a major QSR Franchise
Client
Quick Service Restaurants
Industry
Data Platform, Business Intelligence
Services
Centralized insights for seamless tracking of financial and operational KPIs.
Key Result
The Challenge
Disparate data across multiple sources made consolidation and analysis challenging.
The franchise struggled with siloed data systems that didn't communicate effectively with each other. This fragmentation created barriers to comprehensive analysis and prevented teams from seeing connections between different operational areas.
The absence of a centralized data warehouse led to reporting inefficiencies
Without a unified data repository, teams spent excessive time manually gathering and combining information. Reporting cycles were prolonged and error-prone, delaying critical business insights.
Inconsistencies across data sources compromised decision-making.
Different systems produced conflicting information about the same business metrics and KPIs. Leadership frequently made decisions based on incomplete or contradictory data views, reducing confidence in strategic planning.
Lack of automated data quality monitoring.
Data errors went undetected until they caused downstream reporting issues or business disruptions. The manual process of identifying and correcting data problems consumed valuable resources that could have been directed toward analysis.
Financial discrepancies due to inconsistent reconciliation
Revenue and expense figures often varied between different operational systems. These inconsistencies created concerns and led to low trust in data
Our Solution
A cloud ready modern data platform to support collaboration and sharing across the organisations.
BluePi implemented a scalable Snowflake environment that centralized all data assets in a secure, accessible platform. The solution provided role-based access controls while facilitating cross-departmental data sharing and collaboration.
Migrated data from multiple sources (POS, SAP - Sales and Inventory, HR etc) to cloud based snowflake platform.
The team integrated diverse systems including POS terminals, SAP modules for sales and inventory, and HR databases. Custom connectors ensured data maintained its relationships and business context throughout the integration process
Developed data quality dashboards to monitor, detect, and resolve inconsistencies.
Automated validation routines continuously checked for data anomalies and flagged potential quality issues. Visual dashboards provided real-time alerts and tracking of data quality metrics across all critical business systems.
Implemented financial reconciliation processes to identify and correct discrepancies.
The solution automatically matched transactions across operational systems to highlight inconsistencies. Reconciliation workflows guided users through resolution processes to maintain financial data integrity.
Extensibility of future refactoring.
The platform architecture was designed with modular components that can be enhanced or replaced independently. Integration points also allow for seamless addition of new data sources and analytical capabilities
Business Impact
Centralized insights for seamless tracking of financial and operational KPIs.
Decision-makers gained access to comprehensive dashboards displaying consolidated metrics from all business dimensions. Real-time KPI visibility enabled proactive management and faster responses to changing market conditions.
Reduced costs through automated data consolidation and reconciliation.
Manual data processing work decreased by 75%, freeing up staff for higher-value analytical tasks. Infrastructure costs declined due to cloud optimization while data-driven decisions improved inventory management and reduced waste.
Timely and accurate data availability for better decision-making.
Reporting cycles shortened from days to hours or minutes depending on the business process. Leadership gained confidence in data accuracy, leading to more decisive action and improved operational responsiveness.