Data science refers to the extraction of knowledge from data. Data science is an interdisciplinary field of science that uses scientifically-founded methods, processes, algorithms, and systems to extract insights, patterns, and conclusions from structured and unstructured data. Data science generates information from large quantities of data in order to derive recommendations for action for the company management. The goal of these recommendations for action is to improve the quality of entrepreneurial decisions and the efficiency of workflows. In our business analytics business division, valantic works with state-of-the-art data science methods to generate knowledge from data for our customers.
Data Science represents an important tool for tapping into the MarTech jungle. We've already taken a look at the Data Science framework, and in this post we'll get an overview of the resources available. Read here.
Data Science represents an important tool for tapping into the MarTech jungle. In this blog post, we will focus on the basic conditions in the company for Data Science. Only when these conditions are met can the expedition into the jungle begin.
It is easy to lose track of the jungle of marketing technologies. Data Science is an important tool for opening up the jungle. In this blog post, we explain what Data Science is, what benefits it brings to the retail sector and why it should not be missing in modern companies.
Our colleague Daniel Völker from Berlin tells us something about his role as Lead Consultant Data Science & Conversational AI at valantic and how he wants to develop in this area.
The Data Science Process Model of valantic and Nordakademie describes the procedure in a data science project.
