How to make intelligent decisions using BI and weather forecasts

Now, armed with the insights that we found in part two, we are ready to apply those insights using weather forecasts. As we did when analyzing our historical business records using weather history, we will use the high-quality weather data service that we identified in part one of this article series. Then, we will join this data with our business locations. Only this time, instead of finding existing patterns we will apply the patterns discovered to make more intelligent decisions.

How to analyze business data using historical weather records

In this article we will continue where part one stopped. Once high-quality, BI-friendly weather data has been found, we next need to understand how it can be used to analysis historical business data, Most business intelligence systems have a warehouse containing years of business records including locations and dates. This article will show how to match those records to weather data and identify useful patterns and trends.

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The use of weather data in data science is hugely varied and there are applications in all applied verticals. However

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