When files, particularly in structured formats like CSV, XML, or JSON, are stored on an SFTP server, they can be extracted and loaded into a data warehouse via ETL processes, facilitating sophisticated analytics and Business Intelligence (BI) endeavors. Here are some primary analytics use cases leveraging data sourced from SFTP servers:

• Consolidation from Disparate Systems: SFTP is a common medium for transferring data from different systems or databases. By extracting this data and integrating it into a central analytics platform, businesses can get a unified view of their operations and performance.
• Secure Data Analysis: For industries with strict data compliance needs, like healthcare or finance, SFTP provides a secure means of data transfer. Once in a data warehouse, analysis can be performed on this data without compromising its security during transit.
• Audit Trail and Compliance Reporting: Files transferred via SFTP often include logs or transactional records. Analyzing these can provide an audit trail, crucial for industries where demonstrating data integrity and compliance is vital.
• Collaborative Projects Analysis: Businesses frequently collaborate with external entities, sharing data securely via SFTP. Extracting, transforming, and analyzing this shared data can offer insights into project progress, resource allocation, and collaboration efficiency.

By harnessing the data stored on SFTP servers and integrating it into a holistic data analytics framework, organizations can ensure that secure and sensitive data sources contribute to overarching analytical goals, driving informed decision-making.