Enterprise Data Science
Data science is the art of delivering value through data. Providing this value to a customer often requires a complex business understanding, mathematics, and computer science practice.
** Enterprise data science supports effective and efficient decisions within a company’s value chain. **
This homepage is a living document defining, archiving, and explaining basic principles of performing data science tasks within an enterprise.
- The blog describes individual articles, opinions, best practices, which are published as well through other channels, e.g. LinkedIn
- The lecture docs are tailored to the lectures given at the Technical University of Kaiserslautern, Germany.
Homepage Principles
This Enterprise Data Science homepage follows the following principles:
- Simplicity in formulation and explanation of business execution and its link to data-driven decisions
- Illustration of data science application within an enterprise context using well-known design frameworks across the business and the IT/software world.
- Explanation of data-driven decisions within business constraints and business processes by referring to data sources, source code, and real-life business problems
- Consistently increasing the scope of content and the number of contributors helping to curate the complex dependencies with a focus on teaching and scientific excellence.
- Content should be available via GITHUB while using various data-driven services
Author
Currently, I am a digital strategy manager at Roche Diagnostics, Germany. Before, I was working for Camelot ITLab GmbH and Blue Yonder GmbH in various roles. I worked as a developer, product manager, and consultant.
As an analytics translator, my primary work comprises the question: How to add value to a company’s asset type data? Answering this question is more than statistical data algorithms or technical programming. It is the art to integrate data-driven design principles within the complex world of large scale enterprises.
I am still a lecturer of data science at the Technical University of Kaiserslautern, Germany.