HOW IT WORKS

We Enhance the Value of Data and Simplify the Ingestion Process

Seamless, Self Serve Control Data In Minutes:

Step 1

Find the Right Control Data

Choose the control data (features) you want to use. The system will recommend data sets to consider based on your model type and industry.

 

Step 2

Easily Organize and Transform Data

Select the time and geographic granularity you require. As an example, weekly data by U.S. State. Then select your desired data science treatments, including leads, lags, differencing and decays, from the 15 plus transformations built into the software.

 

Step 3

Simplify the Data Ingestion Process

Lastly, pick how you would like to receive your data. Connect directly to Ready Signal via R, Python, Domo or the API client of your choice or download your signal to an Excel or CSV file.

DESIGNED BY DATA SCIENTISTS FOR DATA SCIENTISTS

READY SIGNAL MAKES IT EASY TO FIND THE MOST IMPACTFUL CONTROL DATA

Access our Extensive Library of Curated Control Data

  • Hundreds of data sets to choose from
  • Includes weather, economic, population and demographic data
  • Curated from the best government and private sources
  • Constantly growing based on customer requests
  • View Sample Data / Feature List

Access Public Health Sets

  • Understand the impact Public Health has and will have on your business
  • Quickly access relevant economic indicators
  • View infection rate trends by geography

Coming Soon – Access Customizable Population Counts

  • Understand population counts at your desired geographic grain
  • Create custom population segments based on
    • Gender​
    • Age​
    • Race​
  • Example: Hispanic & Asian Women between 24 & 45 by zip code

Leverage Purpose Built RS Indexes

  • RS Indexes combine disparate data sources, using a variety of data treatments to create one easy to use control data point
  • Example: RS Weather Variance Index
    • NOAA makes temperature available by day, but they don’t tell you how this deviates from the average of that location/date. For companies where unseasonably hot/cold days impact their business (e.g., motor cycle sales) the deviation, not the actual temperature, is what matters.​

Recommendations to Help You Find the Right Data

  • Tell us your Industry and the Analysis Type you are doing and we will recommend relevant control data to test
  • Industry Examples
    • Automotive, CPG, Real Estate, Retail, etc.​
  • Analysis Type Examples
    • Forecasting, Scoring, Classification, Impact Analysis, etc.

TAKE THE NEXT STEP

Sign Up Free
SCHEDULE DEMO
Youtube Twitter Facebook Linkedin
Scroll to Top