Transforming Data Operations for Pharma Company

Client Overview   

The client is a prominent player in the health supplement industry, known for offering a wide range of high-quality products. As a rapidly growing company, they faced several operational challenges due to the fragmented nature of their data systems. They sought the expertise of Decision Foundry, a leading data consultancy, to streamline their data operations and enhance decision-making capabilities. 

The Challenge  

The client grappled with inconsistent reporting, a lack of a centralized data warehouse, and sluggish query performance. Their data was scattered across multiple platforms such as Netsuite, Amazon Seller Central, Keepa, Recharge, and Shopify. This fragmentation led to incorrect data and challenges with ad-hoc reporting. The primary objective was to integrate data from these diverse sources to support daily reporting needs and ad-hoc analyses, as well as to incorporate additional data sources for business growth. 

DF’s Approach 

DF adopted a structured and data-driven approach to tackle the client’s challenges: 

• Assessment and Planning: Conducted a comprehensive assessment of the existing data infrastructure to identify bottlenecks and areas for improvement. 
• Technology Selection: Chose industry-leading technologies, including Snowflake, Azure Data Factory, Azure functions, and PowerBI, to build a robust data solution. 
• Integration Strategy: Developed a strategy to integrate data from various platforms into a centralized warehouse. 
• Optimization: Focused on optimizing tables and processes to enhance query performance and reliability. 
• Implementation Roadmap: Established a phased implementation plan to ensure minimal disruption to business operations. 

Solution Implementation   

The implementation of DF’s solution was characterized by several key steps:    

• Centralized Data Warehouse: Built a centralized data warehouse using Snowflake, allowing for seamless data integration and improved data accessibility. 
• Daily Data Refresh: Implemented a daily refresh and a seven-day data pull mechanism to ensure data accuracy and reliability. 
• Medallion Architecture: Leveraged a medallion architecture to streamline data processing and support dashboard functionalities. 
• Process Optimization: Optimized data tables and processes to handle gigabytes of data efficiently, improving overall system performance. 

Results and Impact 

The project delivered significant improvements and measurable outcomes: 

• Enhanced Reporting Reliability: Reports are now reliable and trusted by the client, eliminating the need for cumbersome Excel transformations. 
• Centralized Access: Provided centralized access to a comprehensive database, facilitating ad-hoc analytics and improving decision-making speed. 
• Business Overview: Enabled a holistic view of the business, supporting strategic insights and growth opportunities. 
• Client Expansion: The success of the project prompted the client to express interest in automating ad-hoc analytics and exploring additional data sources. 

Client Testimonial    

“Great feedback; eager to include additional sources and suggested ideas where we can get more from the data we had. We are interested in automating ad-hoc analytics and keen to see more reports.” – Pharma Company

Key Takeaways  

• DF successfully integrated multiple data sources into a centralized warehouse, enhancing data reliability and accessibility. 
• The use of Snowflake, Azure Data Factory, and PowerBI optimized data processes, significantly improving query performance. 
• The project resulted in improved decision-making capabilities and strategic business insights for the client. 
• Positive client feedback and interest in expanding the scope of work underscore the project’s success. 

Summary   

• DF enabled the client to centralize their data infrastructure, enhancing reporting reliability. 
• Utilized Snowflake and Azure Data Factory to optimize data processes and improve performance. 
• Successfully integrated diverse data sources, supporting daily reporting and ad-hoc analysis. 
• Provided strategic business insights through a comprehensive and accessible data overview. 
• Client feedback highlighted increased trust in data and eagerness for further collaboration.  

By leveraging DF’s expertise in data consulting and partnerships with platforms like Snowflake, the client achieved a transformative upgrade to their data operations, paving the way for future growth and innovation.