Rosetta Stone Normalization Engine: A Universal Translator for Data

Every system writes data in its own language, even something as simple as a date. This explainer shows how the Rosetta Stone Normalization Engine uses AI to map every dataset to one standard, so data and analytics teams can write one query and get harmonized results.

Data doesn’t speak one language

Two people who don’t share a language can barely talk. Put twelve in a meeting, and nobody understands a word.

Data’s no different. Every company writes it in its own language. Even your own systems can’t agree on something as simple as a date. One puts the month first, another puts the day first, and a third just counts the days since 1900.

Translating by hand doesn’t scale

Nobody wants to learn anyone else’s language, so you end up translating by hand, one dataset at a time. And if the data changes? You’re stuck fixing it.

Meet Rosetta Stone

Rosetta Stone is Narrative’s universal translator for data. It uses AI to learn what every field means and how it’s written, and matches them all to one standard.

One query, harmonized results

Write one query. Rosetta Stone translates it into each dataset’s own language, and the results come back harmonized. Bring in partner data? Your query doesn’t change. And if the data changes? It still works.

Everyone keeps their own language. Rosetta Stone does the translating.

‍Talk to our team to learn more.