🕝 👉🏽 🧛🏻 How to build a predictive model for a marketer in SAP Analytics Cloud without involving datasunists 🌊 ❇️ 👩‍👧‍👧

Today, the popularity of data science projects is very high and businesses understand their importance and significance. The market is filled with experts in the field who know how to deliver impressive results. But such projects are often costly, and it is not always necessary to involve professionals in this field for simple tasks. Some predictions are within the power of business users themselves. For example, marketing specialists can predict the response to marketing campaigns. This becomes possible if you have a tool that allows you to build a forecast in a few minutes and easily interpret the results in terms of business sense.

SAP Analytics Cloud (SAC) is a cloud-based tool that combines BI, planning and forecasting functions, it is also equipped with many advanced analytics features: intelligent prompts, automated data analysis and automatic forecasting capabilities.

In this article, we will talk about how forecasting is built in SAP Analytics Cloud, what scenarios are available today, and how this process can be integrated with planning.

Smart Predict functionality is focused on the business user and allows you to make high-accuracy predictions without involving Data Science specialists. On the part of the user of the system, the forecast takes place in a “black box”, but in reality this is, of course, not the case. The prediction algorithms in SAC are identical to those in the Automated Analytics module of the SAP Predictive Analytics tool. There are many materials on the algorithms underlying this product, we suggest reading this article . To the question: “It turns out that Automated Analytics has moved to SAP Analytics Cloud? - we answer - Yes, but so far only partially. " This is the difference and similarity in the functionality of the tools (Fig. 1)

SAP Analytic Cloud currently offers 3 predictive scenarios:

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