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Incorporating Weather Into Your Data

Leveraging Mother Nature for Powerful Predictive Analytics


Weather data is more reliable than ever, accurately predicting inclement weather more than 10 days in advance. As consumers, weather impacts many of our buying decisions: Will we go to the store or order in? Will my package arrive in time? Do I need to purchase insurance or emergency supplies? Do I need to travel this week?

Weather is a leading factor in customer behavior, so why don't more businesses take weather into account when forecasting customer purchases? In this webinar, Ahmed Sherif will walk you through a live example of integrating weather data into reservation data using Python and IBM Cognos Analytics to predict customer cancellations for a restaurant. This same process can be applied to any forward looking transaction dat analysis.

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