In this small tutorial, we will limit ourselves to briefly outlining the essential steps in time series analysis in the programming language R...
R is a programming language designed for statistical applications, which enjoys a high degree of diffusion especially in the field of Data Science...
How can data (streams) from different locations be used efficiently and intelligently? SAP Data Intelligence makes it easier for companies to understand and use their data...
What is a data warehouse (chapter 1), how is it structured (chapter 2) and why do I need a data warehouse as an organization (chapter 3)? These questions are answered in the following knowledge article...
Analytic Applications can be used especially when very specific requirements are placed on the layout of dashboards or even on...
A forecast incorporates all available information, such as values from the past or knowledge about future events, to determine...
The following quote can already help to understand what distinguishes Artificial Intelligence from Machine Learning. More detailed information is provided in this Wiki article....
Artificial Intelligence stands for artificial intelligence (AI). And since there is no universally accepted philosophical definition of intelligence, different views of what artificial intelligence is can also be found...
Machine Learning is the answer to one of the questions to a weak Artificial Intelligence. It is a fundamental concept to study algorithms that automatically improve themselves based on experience (using data)...
When it comes to forecasting time series, the end basically justifies the means, i.e. the most accurate model is the...
Behind the term Industry 4.0 is understood that through profound digitalization or digital transformation of any industrial production, a fourth industrial revolution...
An alternative to handwritten forms are digital forms, where the user at an input device puts the information directly into a digital format...
