CONSUMER GOODS INDUSTRYCLOUD MANAGEMENT

Efficient Data Management with Automation

Feb 27

10 min read

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Data Integration and Standardization:

Consolidated and standardized diverse customer data from multiple sources into a single unified format for efficient analysis and insights generation.


Data Warehouse Solution Development:

Designed and implemented a data warehouse solution capable of handling various data formats, ensuring seamless data processing and accessibility for analysis.


Automation of Reporting and Maintenance:

Automated weekly data reporting and maintenance workflows, ensuring consistent, timely, and accurate delivery of insights with minimal manual intervention.


Azure Integration Services:

Leveraged Azure Synapse to automate the ETL (Extract, Transform, Load) process, integrating and transforming customer data into a consistent format stored in Azure SQL Server for easy access and analysis.


Azure SQL Server Data Warehouse:

Built a scalable and high-performance Azure SQL Data Warehouse to handle diverse data types (e.g., structured customer records, semi-structured transactional data) while optimizing for query performance and analytical workloads.


Efficiency Gains:

Automation reduced manual data handling, saving time and enabling faster insights.


Scalability:

Robust infrastructure to handle growing data volumes, ensuring faster processing.


Improved Insights:

Centralized data and automated reporting for better decision-making and enhanced customer experience.

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author

Prateek S Malhan

Chief Growth & Strategy Officer

With 11 years in SaaS, I've built MillionVerifier and SAAS First. Passionate about SaaS, data, and AI. Let's connect if you share the same drive for success!