A Guide to Conducting Scenario Analysis with Time Series Forecasting
Time series data has become an important data source in many application domains. Most companies and organizations strongly rely on this data for critical tasks like decision-making, planning, predictions, and analytics in general. While all these tasks generally focus on actual data representing organization and business processes, applying them to alternative scenarios is desirable to prepare for developments that diverge from expectations or assess the robustness of current strategies. This tutorial will describe how to do scenario analysis with time series forecasting.
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