Three Ingredients to Help Put Strategic Weather Data Into Practice

To use weather data strategically, raw weather data is only part of the solution. Making sense of the weather for your business also relies on knowing historical weather data and also forecasting the future. In short, the more you know about weather patterns, the more strategic your decision making will be. To put strategic weather data into practice, here are the three ingredients you need.

 

#1 Hyper local information through an IoE strategy

 

If you gather hyper local weather information in real-time, you facilitate instant decision making, based on true facts. This comes in handy when you want to inform users on road conditions (in the automotive industry), use the energy grid to its full potential (energy), or save costs through climate management (horticulture).

 

Sometimes, you can use the information set in motion follow-up actions, like adjusting the speed of a car based on its estimate braking distance. Sometimes you’ll use the information to gain insights into the timing of purchases, like when exactly did the consumer buy that beer.  Either way, hyper local information will provide you with valuable information that you can use to make better products and adjust them to actual demand.

 

 

#2 Accurate hindcasting, forecasting and calculation models

 

The more you know about weather patterns, the easier it becomes to make the right strategic decisions. Hindcasting and forecasting alone bring you nothing but raw data, meaning you’ll need to combine this information with other business data. With the right calculation models, hindcasting and forecasting can be turned into concrete business answers.

 

#3 Weather experts that understand weather and your business challenges

 

Do you switch off when you hear words like “algorithms” and “models”? Don’t worry.     Meteorology is a specialism, meaning specialists that can do the work for you. Whether you have in-house meteorologists or not, calling in the help of a third party is a good idea when starting with strategic weather data. This is because the possibilities are endless, and there’s no need for you to explore them all. Sometimes, all you need is a “yes” or “no” or a percentage, such as in the case of dynamic line rating.

 

Therefore, sit down with a party that knows how to use weather data strategically and helps you deploy it IT-wise, so you can focus on results instead of weather maps and forecasts. They can collaborate with your own meteorologists and come up with a plan and pass on their knowledge to them. This way, you can have your strategic weather plan up and running in no time.

 

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