The OnPoint Advantage: Weather Source’s products, fueled by our OnPoint platform, are just that—on point!
Each of our hyper-local solutions can be tailored to the points of interest most relevant to your business, from lat/lon coordinates to geographically bounded areas such as ZIP or Postal Code, designated market area (DMA), metropolitan statistical area (MSA), census block or track, county, parish, and more.
Products for a Data-Driven Economy
Companies and organizations that apply Weather Source’s seamless technology don’t waste valuable time wrangling complex weather data. We do the hard work for you, so your employees have more time to focus on what they do best!
Retail: A nationwide retailer used OnPoint Weather to quantify the impact of weather data on seasonal product sales. The creation of a predictive model helped the company stock and price inventory according to real-time seasonal changes rather than predetermined dates.
Logistics: A logistics company with tight delivery deadlines used OnPoint Weather and OnPoint Analytics to perform regression analysis and identify weather conditions that result in delivery delays. Weather Source then created a model for the company to monitor forecast and climatology data for similar conditions, enabling them to and adjust routes and schedules to prevent future setbacks.
Energy: An energy company used OnPoint Climatology to anticipate anomalies and potential changes in demand within their designated market areas as well as those of their competitors. This allowed the company to sell energy at a premium to neighboring utilities who are experiencing high demand and low resources.
Healthcare: A busy hospital used OnPoint Weather to perform regression analysis on emergency room visits to better understand how they are influenced by weather. This allowed the provider to create a predictive model to forecast emergency room footfall traffic, with the end results being optimized staff resources and reduced patient wait times.
Real Estate: A large property management company relied on our Weather Impact Ranking System to monitor weather’s impact on their asset locations. They also received alerts in real time when weather had the potential to damage an asset and a visit to the property was advised.
Defense: A large defense contractor ingested Weather Source’s entire continuum of data, from past to present to forecast, to serve as a single source of truth for its globally distributed employees. This ensured all personnel were operating and modeling with globally uniform data free of discrepancies in spatial and/or temporal resolutions.
Space: A large technology company used OnPoint Climatology to identify the ideal locations for ground-based satellite imaging stations by analyzing the likelihood of cloud cover, precipitation, and fog occurring at each.
Why Weather Source?
Unlike most weather data providers, who simply extend weather information to your location, Weather Source approaches its weather and climate data in a much different way. We start with your exact location, introduce multiple inputs, and apply complex mathematics and statistics to create “virtual” weather stations at customer locations.
Many of our competitors rely solely on data from airport observation stations, which are often too far—up to hundreds of miles—from your location to provide actionable information. Furthermore, up to 25% of airport observation stations routinely report gaps and errors in their data.
Weather Source gathers its data using more precise methods. When you choose our products, you can expect:
- A combined 75 years of meteorology and climatology expertise
- A funnel of reliable inputs, including airport observation station, satellite (GOES 16 & 17, POES, TRMM), radar, and local sensor data
- The use of meteorological algorithms and models to process incoming data
- The incorporation of essential factors such as geography, topography, and elevation
- Extensive quality control measures
- A high-resolution grid system
- A deep, historical database
- Uniform, analytics-grade data
- A continuum of data from the year 2000 to present and with a forecast of up to 42 days
- Ease of integration with data analytics platforms such as Google Cloud Platform, Looker, Microsoft Azure & Power BI, Qlik, Snowflake, and Tableau
A continuum of global weather data extending back to the year 2000 with a forecast view of up to 15 days and and enhanced/extended forecast out to 42 days. All of our analytics-grade data is available in hourly or daily format and is accessible via the OnPoint API or as CSV files.
The statistical representation of weather over time. Identify the “normal” or “average” (mean) for your location at any point in time. Can also be used as a long-range forecast tool or compared with actuals to identify anomalies.
Weather modeling and analytical tools for actionable business intelligence. Our team has the analytic expertise to create custom models, applications, and programs for any organization in any industry.
Weather Impact Ranking System (“WIRS”)
This web-based visualization platform allows you to monitor all of your locations and assets in real time and provides notifications when weather has the potential to affect business operations.
Monitor in real time National Weather Service advisories, watches, and warnings that are likely to affect your business. Easily configurable for user-defined alerts, such as “notify me when the temperature at this location rises above 85°F.”
Weather Source spent more than a decade perfecting its data quality processes to ensure your data is error-free, gap-free, and instantly useable. We continuously ingest and process data from thousands of U.S. and international inputs then monitor and correct for errors.
This quality control process includes a battery of tests such as observation consistency—for example, snow isn’t possible at 70°F—and compares against companion datasets. Missing or erroneous observations are replaced with estimates derived from surrounding data points, so you can rest assured the information you receive is accurate.
Ready for Machine Learning
It can be tedious and time-intensive to manually correct for biases and inconsistencies when data is collected from numerous, disparate sources. By unifying inputs within the OnPoint Platform, your weather data is homogenized and prepared for immediate analysis.