Here are few suggestions how to use this feature.
Simple comparison of weather with revenues or website visits:
1. Choose the Weather Metrics connector.
2. Add the city you want to monitor-Simply start typing the English or local name of the city you want to follow and it will suggest you the right place.
3. In the same form, select weather metrics you want to monitor.You can choose from:
Temperature- in Celsius, it shows the highest temperature from that particular day
Pressure- highest pressure reported for that day
Humidity- scale 0-1, it is a numeric representation of percentage humidity (e.g. 0.5=50% humidity)
In some cases, you might get the alert that your weather metrics will appear later.
Do not worry, we have started to prepare your weather data in the background. You will see the actual data within first 24 hours and then updated automatically every day. In next few days, you will see also the historical data from the last 12 months.
The rest is up to you.
You can compare daily temperature or humidity with your other business KPI metric- revenues or traffic, add them in into one chart and dashboard, aggregate in weekly/monthly/quarterly averages and see if there is any correlation between them.
Advanced weather analytics for your business
What if your business generate most revenue in more than one city?
Or are you more interested in some combination of these weather metrics?
There is no problem for KPI Watchdog. You can create your very own index from any of these metrics using calculated metric.
For instance, you can get automatically calculated average temperature from two cities [(San Francisco+New York)/2] or even calculate the weighted index based on the revenue share they usually produce using simple mathematical formula.
Same for different weather metrics. Let's say you have a website for mushroom pickers. You usually need to look at the combination of weather conditions, in this case combination of temperature and humidity.
With the calculated metric, you can create your own weather index (e.g. temperature*humidity) and compare it with the activity on your website.