How to improve your Forecasting by adopting a Data Science approach?

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Presented by

Alexandre Hubert, Sales Engineering Director

About this talk

Take part in the webinar to discover what are the benefits of a Data Science approach in Forecasting. Forecasting has been used since the 1950s in anticipating risks and making decisions. But in the era of AI and algorithms, older modeling techniques fail to integrate the amounts of data sources needed to produce results that are accurate enough for modern business. This webinar provides an overview of Forecasting addressed through Dataiku. You will be shown the example of sales forecasting to illustrate, in a concrete way, the steps to follow to combine business expertise with Data Science techniques. You will then be able to understand how to refine your forecasts, automate them, and multiply them in many use cases applicable to Forecasting.
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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.