Part 1: Summarizing the Data for Ready Analysis

Finding and using reliable weather forecasts is becoming a key competitive advantage in many industries.

To add to the complexity, the sheer number of forecasting services and their variability in the accuracy of their forecasts by geography, forecast timeframe and weather parameter makes it hard for many companies to choose the correct forecast.

Decision-makers need an easy-to-use, actionable summary of the massive weather forecast and observation data

  • This paper is part 1 of a two part series on building and using an analytical framework for determining forecast accuracy.
  • It focuses on issues related to getting the data ready for analysis in an analysis reporting tool such as Tableau
  • How MineWeather solves these problems and makes it easy for the users to summarize the data.

The second part of this paper on analytical framework showcases the various types of reporting formats, filters and data-groupings in MineWeather.

Download the FIRST part Summarizing the Data for Ready Analysis here.

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