How BluePi Helped a Leading F&B Client Migrate to AWS Redshift
BluePi Helped a Leading F&B Client Migrate to AWS Redshift by integrate all the Data Sources with their targets including SAP for the Inventory and Sales modules.
Compass group
Client
Quick Service Restaurants
Industry
Business Intelligence, Data Governance
Services
Standardised Masters
Key Result
The Challenge
Data Inconsistency Issues
Compass Group struggled with inaccurate and inconsistent data across their organization. This data quality issue directly impacted their analytics capabilities and hindered effective business decision-making.
Multiple data sources : mulitple reports
Reports were created using information from numerous disconnected data sources. This fragmentation resulted in inconsistent reporting outputs across the organization.
Data Duplication Challenges
The company encountered problems with duplicate data and difficulties mapping existing data to new structures. These issues made report creation cumbersome for individual departments, directly impacting business operations.
Our Solution
Comprehensive Data Integration
BluePi integrated diverse data sources including SAP inventory and sales modules. This consolidation created a unified data environment across previously disconnected systems.
Setup the MDM and Workflow
The solution established Master Data Management systems alongside automated workflows. This implementation standardized data handling processes throughout the organization.
Single source of master data
BluePi created a centralized repository for all master data elements. This unified source eliminated conflicts between different versions of the same information.
Establish governance and data quality standards
The implementation included formal data governance structures and quality standards. These frameworks provided guidelines for maintaining data integrity across the organization.
Data Quality Rules
Specific validation and quality control rules were applied to various master data elements. These rules ensured consistency and accuracy throughout the data lifecycle.
Business Impact
Standardised Masters
The solution established uniform master data definitions and formats across the organization. This standardization eliminated previous inconsistencies in how data was structured and interpreted.
Improved Data Quality
The implementation significantly enhanced data accuracy and reliability throughout the organization. These improvements led to more trustworthy reporting and analysis capabilities.
Enhanced Supply Chain Monitoring
The solution enabled precise tracking of supply chain operations and food costs. This visibility provided Compass Group with better control over critical operational expenses.