Planning an ETL Proof of Concept? Here Is What You Need to Consider

Picture this: You are trying to track the sentiment of your product using first-party customer data, social data, and social listening data to determine the success of a new feature. Getting a daily report on this can help your product team make better prioritization decisions, or your marketing team to craft better messaging around a feature that spurs product adoption. In your current reporting structure, this will take hours of manual work. To expedite the process, you can create a proof of concept (POC) of an extract, transform, and load (ETL) workflow using cloud-based tools that can consolidate and transform your data sources for near-instant reporting and analytics. POCs are frameworks of tests that help a user determine if a product will function as envisioned, and if it will provide the long-term value that merits a full investment in the technology and resources.