SignalRadar has pioneered the use of Large Language Model  Generative AI, to explain what drives SignalRadar’s Guidance Analytics.   So, we don’t merely predict and forecast – we also provide understanding.  By articulating the forces, trends, headwinds, and tailwinds that shape the forecasts and guidance reports we deliver, offered in a digestible and  understandable format, more inputs to key decisions become available to you.   You can now equip your executives with an unprecedented grasp of the near future, providing additional guidance to enable smarter, more informed decision-making.

Managing the impacts of external forces on KPIs can be complex. SignalRadar’s AI capabilities illuminate these influences, providing a clear understanding for strategic decision-making,

SignalRadar lets you transition from conventional predictive modeling to a more comprehensive understanding of your business environment. Our platform hosts millions of curated exogenous signals, and our advanced generative AI algorithms produce contextual, human-comprehensible explanations of the forecast we offer as well as all the relevant trends influencing its direction.  This innovative approach provides what we term guidance analytics driven by a focus on your unique business performance metric, enabling a more fully informed perspective and enhanced decision making. 

Data sources all have a time dimension, the most common frequencies of update being either daily, weekly or monthly with certain sources having other variations as well.  As new data is made available our pipelines update the databases so we are refreshing continually.    Each evening we update the trend detection monitoring we perform on the most recent data available for each feature.    Since our standard approach is to reforecast customer key performance metrics each week the headwinds, tailwinds and influences we uncover reflect the most current data available.   

Our platform hosts millions of curated data signals provided by hundreds of data providers.   We are constantly increasing the sources and providers we access, a majority of the sources are ‘public’, created by governmental or industry organizations and other providers who offer their data signals to help people better understand their world.   For  listing see our ‘Resources’ section in the footer of this site.  Our sources expand as new data signals are integrated .