Use Cases — What Kind of Business Data Works Best?
Polymer can make you productive for any business function that involves data with columns and rows. Here are some key domains where Polymer has been found to be immediately helpful to drive business decision making.
What Company Leaders and Our Founders Have to Say:
Polymer made it astoundingly easy to start getting insights within a few minutes. My data was pre-processed and then presented in a way that I could just start slicing key correlations right away. After 30 minutes, we got a number of hugely surprising insights about what funding stage, what industry, what company size, and what testing team makeup were most successful in buying and adopting our product. We shifted our outbound and inbound tactics that very day.
Polymer's built-in functionality made it a breeze to uncover insights about what roles have been most affected by startup layoffs during the pandemic. Those insights led to unique content marketing opportunities, earning coverage in TechCrunch and helping the broader site gain national press in the New York Times, WSJ, Bloomberg, Fortune, and other outlets.
As a former AI/ML Tech lead at Google Ads, my vision behind Polymer is to bridge the gap between data science folks and the rest of the organization. Everyone should feel effective, confident, and efficient around data, driving huge and previously unavailable organizational gains.
Study Reveals Dramatic Changes in Productivity and Effectiveness
We recruited non data experts with previous spreadsheet experience to participate in a Polymer vs. Google Sheets comparison study. Each user was given 8 real-life questions around a real investment dataset with varying levels of complexity.
Key constraint: Participants had never seen Polymer before and were not given any training or onboarding
Key Takeaway Despite zero onboarding or training, Polymer handily beat the spreadsheet for extracting insights and answering real-life questions. Polymer users were both more effective and faster at finding the answers, by a large margin.
Who is Behind Polymer?
From AI to the UI, we combine years of experience, and a passion for technology, computer science, product, & design.
Former Tech Lead for ML and Measurement at Google Ads Wall Street Quantitative Developer at D.E. Shaw PhD, Computer Science, Black Box Systems and Performance
Roots in Product and Design. Previously launched EdTech venture with National Geographic and built a product/design consultancy with clients including Google, Pinterest, Robinhood, and startups in YC and Techstars. NYU/ITP alum.
Bring Polymer's Magic to your Data
Unparalleled data productivity for you and your team.