Data quality systems
Processes and tools ensure data accuracy, completeness, and consistency through validation, monitoring, and correction.
Processes and tools ensure data accuracy, completeness, and consistency through validation, monitoring, and correction.
This domain is valuable because data and AI systems expose the full path from collection to action. They make it obvious that storage, transformation, meaning, trust, and incentives all shape the value of the output.
The transfer advantage is strong here. Learning to ask where data came from, how it changed, and who is rewarded by its use builds a habit that improves product, operational, and strategic thinking in other domains. This domain gets more useful when it is compared with adjacent systems instead of being treated as a silo. That is where reusable judgment starts to form.
Founded and ran a data brokerage from 2017 to 2022 that turned hundreds of terabytes of raw location and advertising data into clean, compliant, sellable datasets for defense, government, and finance customers.