Improve your bottom line with AI driven insights from IBM Weather Company Data in Cloud Pak for Data

By | 2 minute read | May 5, 2020

Whether it’s an oncoming storm causing shoppers to stay home, or icy roads leading to shipping delays, weather has a significant effect on all industries. In fact, a study from the IBM Institute for Business Value (IBV) found that 100 percent of surveyed C-suite leaders believe weather impacts at least one of their revenue metrics. These same leaders acknowledged that unlocking the value of weather data can be challenging, with data accuracy and availability ranked as the two most significant technical inhibitors. To address these challenges, we are now including access to Weather Company Data as part of IBM Cloud Pak for Data.

IBM’s Integrated data and AI platform   

Providing ongoing access to accurate and precise weather data can help teams understand historical trends and prepare for the predicted future impacts of weather.

IBM Cloud Pak for Data provides a platform to simplify, collect, analyze and infuse AI throughout the business. Based on a recent Forrester study commissioned by IBM, Cloud Pak for Data can improve data scientist productivity by up to $3.4M per year through faster model development and deployment. In addition, the 3-year projected return on investment ranges from 86 to 158 percent and reduced infrastructure management costs range from 65 to 85 percent. Given these benefits, adding weather insights into the base of the platform can improve the bottom line even more.

The world’s most accurate weather forecasts 

The Weather Company, an IBM Business, provides the world’s most accurate weather forecasts, helping organizations around the world use data-driven insights to improve business outcomes. With historical weather, current conditions and forecast data now included in Cloud Pak for Data, organizations can more easily inject a wealth of weather-based insights into their applications and processes, helping them develop better ways to manage safety, optimize operations, reduce costs and identify new revenue opportunities. Some examples include:

  • One World Observatory uses in-depth weather analytics to support an enhanced visitor experience. Precision forecasting helps the observatory determine when atmospheric conditions will enable greater visibility so they can plan for increased attendance.
  • Norfolk Southern Railway uses weather data to predict when cold weather may threaten to freeze switches on railroads. This helps the company determine when snow melting equipment should be turned on and off, creating significant cost savings by reducing switch heating costs by 70 percent.
  • Énergie NB Power uses weather data and analytics to stay ahead of storms, identifying which areas are most likely to experience an outage so repair crews can be dispatched in advance, restoring power faster and more efficiently.
  • Bison Schweiz AG uses weather data to help retailers optimize pricing and sales by reacting more rapidly to changing conditions. This may include providing tips on when to plant certain vegetables given upcoming temperature changes or optimizing promotions for certain products based on weather’s projected impact on customer behavior.

When 99 percent of the executives we’ve surveyed say improved weather insights can reduce annual operating costs, Cloud Pak for Data with Weather Company Data provides a powerful combination of services that can help them quickly move from blaming the weather to capitalizing on it. To get started putting weather insights to work for your organization, try Cloud Pak for Data for free today, or visit the IBM Weather homepage to learn more.

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