Are you looking for weather data for analytics (i.e., weather data at the ZIP Code or even the Lat/Lon level)? OnPoint from Weather Source is what major organizations utilize to analyze their data (energy, sales, etc.) with the granularity to make your results meaningful. Most other sources are weather reporting stations like airports. If you or your clients live next to an airport, then you are good to go. However, this is usually not the case. OnPoint Weather utilizes 15 data sources to determine accurate weather readings (temperature, dew point, humidity, wind speed, etc.) by zipode or lat/lon.
Most of our weather analytics clients obtain 3 to 5 years of historical weather data. With the historical weather they can utilize various statistical methods to help discover patterns and relationships between weather and their data. Our clients can also analyze the historical weather data and their own historical data to “forecast the past”. Forecasting the past is a necessary part of the process. Without this knowledge, you are just making assumptions. Granted, you may assume correctly on obvious relationships, but it’s the subtle data relationships that can be discovered and become the most useful. Once these relationships are understood, then applying current and forecast information can be beneficial to your organization’s bottom line.
In a nutshell, analyzing the relationship between weather and your data can assist in:
- Adjusting and optimizing logistics
- Adjusting and optimizing marketing strategies
- Reducing waste
- Increasing ROI
- Improving the bottom line.
Our OnPoint data is available in CSV format or through using the OnPoint API. OnPoint Weather is brought to you by the team at Weather Source – the experts in historical weather data, and trusted by numerous Fortune 500 companies to provide their past weather needs, including:
Weather for Business Intelligence (BI) enables businesses to discover and learn how weather affects their sales, energy, product distribution, organizational performance, and more through weather analytics.
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Salem, NH 03079