Weather

Follow our setup guide to connect Weather to QUANTI:

Prebuilt reports and definition


Overview

The Weather connector loads daily weather data from Open-Meteo into your data warehouse — temperature, precipitation, sunshine hours, wind speed and a pre-computed bad weather indicator by country. It is designed to be joined with your marketing and sales data for marketing mix modeling (MMM) and climate impact analysis.

No authentication is required.


Setup instructions

1

Select countries

Choose the countries for which you want to load weather data. Each selected country generates one row per day in the output table.

Available countries: France, Germany, United Kingdom, Spain, Italy, Belgium.

2

Select prebuilt reports

Review the available prebuilt reports and select the ones you want to activate.

3

Connector information

  • Connector Name: Name your connector. It must be unique.

  • Dataset ID: Define the ID of the dataset. It must not exist yet, as it will be created and data will be sent there.


Prebuilt reports

weather_daily: Daily weather metrics by country. One row per day per country — designed for direct JOIN with marketing data on date and country. Dimensions: date, country. Metrics: temperature_avg, temperature_min, temperature_max (°C), precipitation (mm), sunshine_hours, wind_speed_max (km/h). Also includes is_bad_weather — a pre-computed boolean flag set to true when at least one of the following conditions is met: precipitation > 10 mm, sunshine < 2 hours, or wind speed > 50 km/h.


Prebuilt reports and definition


Notes

  • No authentication required: The connector uses Open-Meteo, a free and open weather API — no API key is needed.

  • Sync frequency: Daily (default) or weekly. Weather data is updated daily as new observations become available.

  • Historical data: Up to 36 months of history can be loaded on initial setup, or a custom date range can be defined.

  • is_bad_weather flag: Pre-computed convenience indicator — true if precipitation > 10 mm or sunshine < 2 hours or wind speed > 50 km/h. Useful for quick segmentation in MMM models without manually combining conditions.

  • Geographic aggregation: Weather data is aggregated at country level using a representative station. For country-level MMM analysis this provides a reliable signal; for highly regional use cases, granularity may be limited.

  • Joining with marketing data: Join weather_daily on date and country to enrich any daily performance table with climate context.

  • Supported countries: France, Germany, United Kingdom, Spain, Italy, Belgium. Additional countries can be added upon request.

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