- Boosting efficiency by 10% through better data processing.
Overview of the Client
Our client is an American worldwide marketer of consumer and commercial products with over 50,000 employees
Business Challenges
Retailers face significant challenges in managing and analysing vast amounts of Point of Sale (POS) data due to storage limitations imposed by third-party POS Business Intelligence (BI) providers. These challenges include:
- Data Retention: Ensuring older POS data remains accessible beyond a few years while complying with retention policies.
- Data Integration: Seamlessly integrating data from multiple sources for comprehensive analysis.
- Data Consistency: Maintaining data accuracy and reliability across different systems.
The Solution
TekLink leveraged Azure’s robust data management and analytics capabilities to address these challenges through:
- Data Ingestion and Storage:
- Automated data pipeline using Azure Logic Apps.
- Data transformation with Azure Databricks.
- Organized data storage in Azure Data Lake (ADL) and Azure Data Warehouse (ADW).
- Data Validation and Reconciliation:
- Sophisticated Data Validation and Reconciliation (DVR) process.
- Generic Databricks notebooks for data processing and DVR reporting.
- Enhanced Data Accessibility and Analysis:
- Snapshot capability for various data levels like retailer, week, and country
- Integration with other datasets for comprehensive analysis.
Key Benefits
- Compliance and Data Retention: Meeting data retention requirements and retaining access to historical data.
- Data Accuracy and Reliability: Ensuring data consistency and reliability for decision-making and reporting.
- Enhanced Analytical Capabilities: Combining POS data with other sources for richer insights.
- Scalability and Performance: Enhancing data processing and storage capabilities to efficiently manage increasing data volumes, achieving an overall 10% improvement in efficiency.
