AI Powered Data Enrichment And Forecasting Solutions

Comprehensive Data Catalog | Recommendation Engine | Scalable Forecasting Solution

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How It Works

Data Catalog

Unlock valuable insights from hundreds of external data sources with the Ready Signal Data Catalog. Streamline your data management process and make better, data-driven decisions with our user-friendly interface and powerful search capabilities. Easily analyze historical trends, identify new opportunities, and gain a competitive edge with our advanced tools that allow you to combine and analyze data from various sources while maintaining consistent time and geographic granularity. Our platform automatically profiles each data set, recommends and applies advanced data science transformations to ensure the highest level of accuracy and relevancy in your analysis. Ready to start transforming your data management process and unlocking valuable insights? Browse the Data Catalog.

Recommendation Engine

Effortlessly identify the most relevant feature sets for your business or product with Ready Signal’s patent-pending Auto Discovery tool. Make data-driven decisions faster and more accurately with our platform, which recommends the best features for your specific needs based on the target variable you wish to explain. Our custom signal consolidates data from multiple sources, saving you time and effort in identifying the most relevant feature sets for your business. Whether you’re looking to understand and explain inventory, demand or sales, the Ready Signal Auto Discovery tool has everything you need to succeed. Get started today and experience the power of data-driven decision-making for yourself.

Forecasting Engine

Make better business decisions with confidence using Ready Signal’s Automated Forecasting tool. Our advanced platform uses state-of-the-art algorithms to analyze your historical data and generate accurate, automated forecasts at scale. What sets us apart:

  1. Predict future trends: Our platform enables you to predict future trends and stay ahead of the competition by identifying leading indicators for your business.

  2. Customized forecasting: Our bespoke forecasts are tailored to your specific business portfolio and individual products, allowing you to make informed decisions about your entire organization.

  3. Scalable solutions: Generate forecasts at scale with our automated tool, saving you time and resources and streamlining the forecasting process.

  4. Unmatched accuracy: Our platform specializes in generating accurate predictive models specific to your business needs, giving you the confidence to make informed decisions.

If you’re looking for accurate forecasting, customized solutions, scalability, and a competitive edge, Ready Signal’s Automated Forecasting tool is the perfect solution for your business needs. Try it today and experience the benefits for yourself.

Seamless Integration

At Ready Signal, we know that flexibility is key when it comes to integrating with your existing data science platform. That’s why we offer a range of integration options designed to seamlessly integrate our platform into your current workflow, without disrupting your current processes.

We provide robust APIs and SDKs that allow for easy integration in R and Python, as well as pre-built connectors for popular data science platforms like Data Robot, Domo, and Alteryx. Whether you’re a seasoned data science professional or an Excel power user, we have the integration solution that’s right for you.

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

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.

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Customer Impact

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 MillerData Scientist
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 RowleyPrinciple Data Scientist
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 KristoSr. Manager, Analytic Services
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 MillerData Scientist
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Blog and Resources

Econometrics in business

Data-Driven Decision-Making: Harnessing Econometrics in Business

Econometrics is a game-changer for businesses, allowing them to gain a competitive edge. In this comprehensive blog, learn how econometrics can transform your business. Discover the benefits, from uncovering causal relationships to quantifying effects and predicting future trends. But econometrics can be challenging; data quality and complexity often pose hurdles. Streamline the process by defining objectives, collecting and engineering data, choosing the right model, and interpreting results. Elevate your econometric game and make informed, data-driven decisions.
What is econometrics

What is Econometrics and Why Should You Care? 

Econometrics is a discipline that employs statistical and mathematical models to analyze economic data, test hypotheses, and predict future trends based on historical information. It's used to understand relationships between economic variables, evaluate policy impacts, and forecast economic scenarios. Key techniques include regression models and null hypothesis testing, although caution is needed to avoid inferring causation from correlation and to choose the right model. Common econometric models include linear regression, generalized linear models, probit, logit, Tobit, ARIMA, vector autoregression, and cointegration models. Generalized linear models offer flexibility for diverse data types, while probit and logit models cater to binary outcomes. Econometricians must possess a strong grasp of economic theory, statistical methods, and awareness of potential errors. When wielded skillfully, econometrics can unveil hidden insights, validate theories, assess policies, and anticipate economic trends.
How to build forecast models in R

How to Build Forecasting Models in R

For those looking to step into the world of forecasting, Excel might be the first tool that comes to mind. However, we're here to show you that creating a basic forecast model can be simpler than you think. Once you've mastered Excel, there's a whole world of advanced forecasting waiting for you, and two powerful programming languages, Python and R, are your gateway. In this article, we'll explore the benefits of using R over Excel for forecasting and delve into the process of creating forecasts using R, with a special focus on how Ready Signal can enrich your models with external factors.
Enhancing Your Machine Learning

Enhancing Your Machine Learning Models: 4 Effective Ways to Incorporate External Data

Unlock the potential of your machine learning models by incorporating external data sources, a game-changer for predictive accuracy and richer insights. This blog explores four impactful methods: enriching feature space with relevant external data, harnessing transfer learning for fine-tuned models, employing data augmentation to enhance robustness, and integrating external data for valuable contextual insights. The future of machine learning lies in the thoughtful fusion of domain expertise, data preprocessing, and model design, ensuring continued innovation in the field.
Hyperlocal Forecasting

Hyperlocal Forecasting: How to Use Data and Analytics to Optimize Forecasts

Hyperlocal forecasting offers businesses the unprecedented ability to predict future outcomes with exceptional precision. By harnessing the power of data analytics, this innovative approach enables real-time optimization of business strategies, granting a competitive advantage in the market. Unlike traditional forecasting methods that often rely on generalized data, hyperlocal forecasting delves into nuanced variations of location, time, and scenarios. It employs advanced algorithms and machine learning to decode vast datasets from sources like sensors, satellites, and social media, crafting tailored predictions for specific contexts.
plastic industry leverage data

Unlocking Business Potential: How to Leverage Data in the Plastic Industry

An in-depth exploration of Ready Signal's advanced AI capabilities and its application in the plastic industry. By harnessing the power of data-driven insights, Ready Signal offers invaluable support to businesses seeking to optimize their operations, enhance decision-making processes, and capitalize on emerging opportunities within the plastic industry. This report delves into the various features and use cases of Ready Signal, highlighting its potential to revolutionize the way organizations in the plastic industry leverage data and gain a competitive edge.
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