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Let’s see how simple SAP Analytics Cloud is to use in a practical scenario. Our example is the sales department of a multinational firm, using Excel to store extensive sales records. We’ll show how an analyst would use SAP Analytics Cloud to interrogate the dataset and create and share “Stories” - visualisations of key data for a nontechnical audience.
Feature Engineering is a crucial step in the process of building a Machine Learning pipeline, as the features will be used by the algorithm as predictors.
Therefore, it’s advisable to prioritise building and optimizing our features to make sure that we start with a robust data model - which will result in our machine learning model achieving good results.
SAP Analytics Cloud is the top-ranked solution for business intelligence, planning and augmented analytics. It provides pretty much everything you might expect from an analytical platform, with continuous updates adding new features. SAP Analytics Cloud is the top-ranked solution for business intelligence, planning and augmented analytics. It provides pretty much everything you might expect from an analytical platform, with continuous updates adding new features.
