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AccuWeather, the global leader in weather information and weather-driven intelligence for enterprises, has introduced its proprietary Data Driven Decisions (D3) Analytics division for enterprises, turning hyper local weather data and forecasts with Superior Accuracy™ into customized, actionable business intelligence that drives organizational performance. D3 Analytics aggregates and analyzes over 300 different weather factors with consumer behavior and sales data, focusing on clients' specific sales objectives and priorities to provide a scientific, predictive basis for key business decisions that impact profitability.
"Enterprises in retail, health care, and financial industries, to name just a few, know that weather impacts their bottom line, but until now they may have used weather industry generalizations to make critical decisions," said Casey McGeever, Chief Commercial Officer for Accuweather Enterprise Solutions. "AccuWeather has applied over 50 years of proven experience working with the most successful corporations across industries - to create a powerful new suite of analytics that takes businesses from an anecdotal understanding of weather impact to real, quantifiable business intelligence that not only protects against lost opportunities, but maximizes profits."
D3 Analytics targets location and seasonal-specific impact events to develop, manage, and inform customized weather-based sales models, enabling enterprises worldwide to proactively target inventory, marketing plans, and sales strategies based on weather changes while hedging against interruptions in supply chain and production levels. Working with over 240 of Fortune 500 companies and thousands more, AccuWeather's big data and analytics leadership and expertise ensure that enterprises have the highest-demand products and services ready for sale when and where they are most needed to maximize profitability.
With new D3 Analytics, AccuWeather can precisely identify industry- and product-specific impacts that matter to each enterprise. Use cases include analytics on the ways hail affects auto insurance rates, sophisticated store-level modeling of heavy snow on sales of hot coffee by type, time, and weather condition, as well as top survival foods for hurricanes - one of which is blueberry toaster pastries.
"The power of D3 lies in the specificity of consumer purchasing behavior and in AccuWeather's Superior Accuracy, which are both unmatched in the industry," said McGeever.
By analyzing the impact of severe weather events, such as floods, hurricanes, blizzards, tornadoes, and hail as well as less commonly considered events such as the increase in "cooling days" of a hot summer in a particular region, AccuWeather allows clients to protect against losses while understanding and maximizing weather-driven opportunities to drive business results.
AccuWeather will hold a free Webinar for business leaders interested in learning more about D3 Analytics. The Webinar, titled "Strong El Nino in the Forecast - How Weather Analytics Can Help Your Business", will be held on October 15, 2015 ET and will feature insights and use cases from AccuWeather experts. Register for the Webinar by following this link.
During the presentation, AccuWeather will review some of the many ways AccuWeather D3 clients are using actionable insights and superior business intelligence to create a distinct competitive advantage in their market, including:
- Targeted and detailed demand planning related to historical weather at the SKU and store level for immediate and precise responses to weather events.
- Positioning of critical assets such as staff and utility vehicles to the right locations for quicker emergency response times to limit disruptions and maximize profits.
- Enabling direct marketing and advertising to reach households or businesses that have been or will be impacted by severe weather events with the products and services that best meet the immediate needs of customers.
- Targeting marketing outreach, including social media, to specific areas and times related to local weather conditions.
- Optimizing discounting periods and dates based on historical data paired with current weather forecasts.
- Understanding and implementing regional product allocations for seasonally impacted goods and services on the basis of long-range forecasts.
For more information on D3 Analytics, visit http://www.AccuWeather.com/EnterpriseSolutions
