Out of grad school I was working for as startup focused on genetic testing (https://www.concertgenetics.com/) We built custom data pipelines to scrape hundreds of thousands of genetic tests from laboratory websites (and PDFs!) and did the legwork to standardize everything so that tests and their prices could be compared across companies. Then that data was used to help insurance companies fight fraudulent claims and the AMA to define better codes for said insurance companies. That clean, curated, and accurate data set powered a *ton* of applications and it's something I'm still incredibly proud of. At the time I didn't have the "Data Product" framing, but looking back it absolutely was.
Out of grad school I was working for as startup focused on genetic testing (https://www.concertgenetics.com/) We built custom data pipelines to scrape hundreds of thousands of genetic tests from laboratory websites (and PDFs!) and did the legwork to standardize everything so that tests and their prices could be compared across companies. Then that data was used to help insurance companies fight fraudulent claims and the AMA to define better codes for said insurance companies. That clean, curated, and accurate data set powered a *ton* of applications and it's something I'm still incredibly proud of. At the time I didn't have the "Data Product" framing, but looking back it absolutely was.
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