Driving Retail Efficiency with Cloud-Powered Data Analytics
Capabilities
Challenges
Cost Reduction and Tech Optimization
The retailer needed to reduce system costs by 30% while boosting operational efficiency and minimizing the tech footprint.
Improve Customer Experience and Sales
The goal was to enhance customer experience and increase sales through streamlined operations and real-time data access.
Outdated Mainframe Technology
Migrating from legacy mainframe technology to Google Cloud was essential for improving availability, performance, and maintainability.
Managing Complex and Sensitive Payment Data
Handling sensitive payment data required secure encryption and protection to comply with data regulations and business requirements.
Approach
Revolutionizing Payment Processing with Cloud and Real-Time Data
Applaudo partnered with the retailer to modernize their financial data infrastructure by migrating from Azure Data Lake Storage (ADLS) to Google Cloud Platform (GCP). The project began as a proof of concept and scaled to a full migration, positioning GCP as the primary financial data source.
We implemented real-time data processing and error detection using BigQuery, creating custom dashboards that enable quick issue identification. Additionally, we developed an intuitive interface to manage and resolve failed data transfers, significantly improving operational efficiency.
To address data security and compliance, we designed a tokenization and detokenization process to protect sensitive transaction data, such as card numbers. This solution ensures secure data transfer between systems and was initially deployed for one supplier, with the flexibility to expand as needed.
Our innovative data integration strategy consolidated information from over 55 sources into a structured data lake. This approach enabled fast access to more than 40 million documents and reduced manual processing time by an impressive 80%.
Results
Centralized Financial Information
Unified data from 55+ sources, creating a single source of truth and streamlining data management.
Improved Efficiency by 80%
Automated error detection and reconciliation processes reduced manual effort by 80%, driving operational efficiency.
Real-Time Data Access
Enabled real-time visibility of over 40 million documents, significantly reducing delays in financial reporting.
