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MATLAB for BI

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  • Case Studies:
    • Clustering Regionally Diverse Customers for Product Recommendation. Read More…
    • Segmentation for reward-tier promotion achieves success in all categories. Read More…
Forecasting using time series regression

Forecasting using time series regression

Timeseries Forecasting uses historical data to predict future responses and is a powerful technique for predicting success in business. Time-series Regression in the Econometrics Toolbox is a technique that can be used to forecast and predict future values. This regression technique is often more reliable than classical linear models. A Time-series regression is a model made up of the relevant predictors, a constant and a random disturbance. These models can be used to forecast performance metrics and enable confident decision making.

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Alluvial Flow

Alluvial Flow

Alluvial flow diagrams can be very useful in analysing how large categorised timeseries data sets change over time. This can be used as a quick analysis technique to visualise the change in customer behaviour and product adoption over time. After this visualisation has been performed, additional techniques can be employed for further detailed analysis.

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