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Automated Data Pipeline to Optimize CRM Strategy

Efficient Data Processing for Real-Time Analysis and Informed Decisions

A global pharmaceutical company needed an effective solution to integrate CRM data, enabling daily real-time analysis and enhancing the customer journey. HMS developed a scalable, automated data pipeline that improved data quality and established a solid foundation for a future-proof data strategy.

 

Delivering Lasting Value with an Automated Data Pipeline

HMS's tailored solution provided significant operational and strategic benefits:

  • Daily Data Updates: Fresh, up-to-date data is available every day, enabling precise CRM decisions.
  • Improved Data Quality: Automation reduces errors, ensuring a reliable data foundation for CRM optimisation.
  • Scalable Architecture: The solution is flexible and can be expanded easily to meet future needs.
  • Greater Efficiency: Automation has accelerated business processes, saving time and resources.
  • Instant Insights: Processed data integrates seamlessly with reporting tools, enabling accurate, real-time analysis.

These improvements have enhanced the company’s operational efficiency and strengthened its long-term competitive position.

 

The Challenge

Before partnering with HMS, the company’s data processes were slow, error-prone, and partly manual. Integrating data from multiple sources was time-consuming and unreliable, causing delays in decision-making. Additionally, the existing system lacked scalability and could not meet the demands of operations in over 40 countries.

To overcome these challenges, the company required a modern, automated solution that was both fast and accurate.

 

The HMS Solution: Automating Data Preparation for Real-Time Insights

HMS implemented an end-to-end ELT data pipeline to meet the company’s needs. The solution included:

  1. Integration of Source Systems: Data is automatically loaded into a central Snowflake Data Warehouse.
  2. Data Preparation and Transformation: Raw data is processed efficiently and quality-assured using dbt.
  3. Process Automation: Apache Airflow ensures reliable orchestration of the data pipeline.
  4. Real-Time Insights: Prepared data is readily available for reporting tools, enabling accurate real-time analysis.

This scalable data solution ensures automated data preparation, tailored to the unique demands of the pharmaceutical industry.

 

Technologies and Tools Used

The successful implementation relied on a robust and proven technology stack:

  • Snowflake: A flexible, scalable data warehouse enabling fast data integration.
  • dbt: A tool for efficient data preparation and quality assurance, ensuring reliable analytics.
  • Apache Airflow: Orchestrates the ELT pipeline, automating workflows for maximum efficiency.

This combination delivers a low-maintenance, future-proof data solution that supports real-time analytics and can be expanded as needed.

 

Why Choose HMS?

HMS has extensive experience in developing automated data solutions and delivering complex projects for demanding clients. Our strengths include:

  • Technical Expertise: Deep knowledge of modern tools such as Snowflake, dbt, and Apache Airflow.
  • Industry Insight: Significant experience in the pharmaceutical sector and other data-driven industries.
  • Tailored Solutions: Custom-designed architectures that integrate seamlessly with existing systems.

HMS supports you through every phase – from concept and implementation to optimisation – ensuring your data strategy remains scalable, automated, and ready for real-time analysis.

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