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Our algorithms optimize the sampling frequency to maximize the signal to noise ratio. Additionally the modals also optimize for n to ensure that our data is free of errors and we have high degree of granularity.

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We scale our data to adjust for differences in population demographics to ensure that the observed data is reflective of demographic critical to the question under investigation

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Our proprietary panel of 2.5M demographically verified adults is supplemented with strict quality control checks and fraud detection measures to ensure accurate and consistent data for our models.

Change Detection

Our ML models work 24/7 to analyze and identify new trends in the data, emergence of new patterns or unique cluster to give users an early warning indicator

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Demographic Breakdown

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Insights - What you need to know

EV Brand Preferences: Old Flames Burn Bright
Building on the insights from “Decoding EV Demand: Battery-Powered Bubble,” this blog examines consumer brand …
November 21, 2023
Decoding EV Demand: Battery-Powered Bubble?
Over recent years, most of the incumbent automakers significantly ramped up investments in electric vehicles …
October 27, 2023
Occam’s September 2023 CPI Forecast
CPI came in at a 3.7% increase year on year. Occam’s estimate for CPI was …
October 12, 2023
Employment Trends: Greater Heights or Wuthering Expectations?
With the headline unemployment rate reaching lows not seen in decades, and the labor force …
September 29, 2023

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