Change your relationship with external data

Ready Signal analyzes your data to identify and recommend external factors like weather, economic, and demographic trends that impact your unique business every day.

Designed For Data Scientists and Analysts

400+ Data Sources

Use our platform to aggregate, normalize, and profile open source and premium control data. Spend less time finding and wrangling data, and more time building efficient and feature-rich machine learning data pipelines.

Data Science Treatments

Instantly apply industry-standard
data science treatments and transformations, including (but not limited to) Differencing, Lead/Lag, Box Cox. Easily manipulate data across different time and geographic grains.

Auto Discovery

Our Patent Pending iterative testing engine allows you to upload your target variable, and the platform will test for possible statistical relationships across all available data sources. Saving you time and removing analyst bias.

Data Ingestion

Easily integrate your Ready Signal data to the data science platform of your choice. Connect directly to Ready Signal through our API or using one of our pre-built data connectors or download directly in Excel or CSV format.

How It Works

Automatically Discover
Control Data

Instantly connect to the data you need to train your models, reducing error and improving accuracy. Upload your target variable data and our patent pending Auto Discovery tool will recommend the best features for you or explore our library of over 400+ data sources.

Create a
Data Signal

Enhance your data with our curated set of control features specific to your model needs, and organize and transform that data using our automated feature engineering tools. Normalize control features to the time and geographic grains you need, and dynamically apply data science treatments relevant to your modeling and analysis requirements.

Deploy
Your Signal

Deliver your data instantly to the data science platform of your choice. We make the data ingestion process easy — connect directly to your signal using R, Python, Domo, or the API client of your choice. Or manually download your data to an Excel or CSV file.

Get Started with a 14 Day Free Trial to Access Automated Feature Engineering

Take Into Account External Factors Impacting the Accuracy of Your Predictive Models

Data Continually Updated as New Information is Released and Delivered in Several Ways.
Economics
Weather
Population
Covid
Demographic
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Ease of use and saving time!

As a data scientist, I am impressed with the ease of use the Ready Signal platform provides me. I am able to quickly integrate control data into my data science production pipelines within Domo to support a variety of data science use cases, saving me and my team valuable time.

Kristie Rowley

Principle Data Scientist

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Improved Model Accuracy!

At Outsell, we are focused on helping car dealerships drive sales and service revenue by improving customer relationships through our Artificial Intelligence (AI) based customer lifecycle marketing platform. Ready Signal’s control data improves the accuracy of our models, and I never have to worry about the data being up to date, Ready Signal keeps everything current for us.

Matt Kristo

Sr. Manager, Analytic Services

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More Robust and Scalable Forecasting Models!

Utilizing the economic, census, and COVID-19 data sets from Ready Signal in my machine learning applications has led to more robust forecasting models. Ready Signal allows me to focus on the important aspects of my projects without having to worry about spending countless hours working with multiple API’s and manually pre-processing data for each project.

Grant Miller

Data Scientist

Blog and Resources

Top 3 Free Open Data Sources Anyone Can Use and Should Use

Our top 3 ready to use control data sets that you can, should and probably are already using in some form or fashion.
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5 Reasons Your Company Needs to Invest in Data

Data is becoming one of your most valuable assets.Now is the time to invest. As a business professional, you must always assess your return on assets.  Return, as the numerator, can be measured on how you earn, quantitatively or qualitatively.  Assets, as the denominator, come in many shapes and sizes.  As an example, relationships are […]
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How to Use 2020 Census Data in Predictive Analytics

When building business forecasts and predictive models, it is important to understand everything you can about your customer.  Incorporating customer demographics into these efforts will further enhance the predictability of your models.   These data can include a wide variety of demographic indicators ranging from population counts, household income, and even behavioral data indicators like […]
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What is Control Data? | Control Data 101

External factors constantly affect your company and the sales, operational, marketing, staffing, and planning decisions you make on a day-to-day basis. No company operates in a vacuum; all are subject to environmental changes that are outside of their control. And while I wish this was an article about how to adjust those external factors to […]
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What is forecasting?

Forecasting can help businesses gain a competitive advantage by planning for future demand, consumer behavior, organizational health, and more. There are several different forecasting methods that can be used to make these predictions and the one that will work best for your business will depend on the data you are using and the predictions you […]
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How to build forecasting models in Excel

This is for anyone who is looking to get their feet wet and learn how to do a quick and easy forecast model, using Excel. For some folks the idea of a “model” can be intimidating, we are here to show you that building a basic model is probably easier than you think. What is a forecast […]
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What does Predictive Analytics do?

It’s the rare industry that isn’t currently obsessed with data. In fact, so much is collected it becomes “big data.” And it is certainly powerful information, providing an edge in competitive markets. But large data sets alone don’t help companies and organizations plan for the future. It’s complex, bulky, and not always particularly revealing. So […]
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Why Historical Weather Data Is Important

When building business forecasts and predictive models, there are factors that are within the control of the business itself, such as marketing, distribution, and promotions. There are also external factors that the business has no control over, like economic shifts and the weather.  A simple question that is often asked is, how does the weather impact sales? The answer […]
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Ways Housing Data Can Drive Growth for Your Business

There is a wide range of housing related data sources that are easily accessible and readily available for you to analyze and incorporate into your predictive models or business forecasts and strategy.  As a business owner, you may be looking at long term growth trajectory and need to target areas to expand your business into.  […]
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What is ETL and why is it important?

Nearly every role in business is heavily reliant on data on a daily basis.  Whether it is  marketing, operations, finance, or analytics, everyone’s role depends upon having reliable and consistent data to work with.  The data landscape today consists of countless sources, and it is important for every organization to identify all relevant data, and […]
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How to Use Maturity Treasury Data for Predictive Analytics

What is Maturity Treasury Data? Maturity Treasury data is information about the yield on government issued treasury securities over time. Examples of treasury securities include Treasury Bills, Treasury Notes, and Savings Bonds, which the U.S. government issues periodically to borrow money from the public. The maturity yield is the return that investors receive from their […]
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Get Started with a 14 Day Free Trial to Access Automated Feature Engineering