OBJECTIVE
TECHNOLOGY STACK
REASON
Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse (Azure Synapse Analytics), Power BI, Azure Machine Learning
To establish a scalable, robust platform tailored for complex data manipulation and analytics
Leverage cloud-based Azure technologies for scalability and robustness
We implemented a comprehensive data management and analytics platform, leveraging Microsoft’s Azure cloud technologies. What we provided: Tools and Tech for Effective Data Management
To centralize all organizational data — sensor data, supply records, and other essential manufacturing information — creating a unified data repository To refine and prepare the centralized data, eliminating traceability gaps and making it suitable for downstream activities like data visualization and machine learning To facilitate data reporting and enable future analytics initiatives, making effective use of the integrated data for informed business decisions To deliver actionable insights within three months after deployment, providing quick time-to-value for the organization
Automate data movement to Azure Data Lake storage for a centralized data hub
Azure Data Lake, Azure Data Factory
Data transformation applying Azure Data Lake Analytics and U-SQL scripts for downstream applications
Azure Data Lake Analytics, U-SQL Scripts
Quick implementation time for quick time-to-value
Overall Azure Stack
Development of Power BI dashboards for enhanced reporting and future analytics
Power BI, Azure Machine Learning
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