Data for the Tiger

A fable about data culture

Thomas Gengler (Autor)

Buch | Softcover

132 Seiten

2023
BoD – Books on Demand (Verlag)
978-3-7412-9321-4 (ISBN)

Artikel merken

Data is the gold of the 21st century. Buzzwords like "data culture" or "data-driven company" are on everyone's lips.Instead of dry theory, "Data for the Tiger" conveys the path to a data-driven company in the form of an entertaining fable with wild animals in a jungle.A lively story for both data specialists and data consumers who want to get more value out of their data.Are you ready for the most extraordinary textbook the data world has ever seen?

Thomas Gengler was born in 1981 in Germany and works as a graduate in business informatics. He lives with his wife and two sons in Strullendorf near Bamberg. He discovered his passion for writing stories at the age of 18 by writing song lyrics for a Heavy Metal band. While Gengler was able to celebrate regional successes with humorous novels under the pseudonym Jonas Philipps, he works on short stories and exciting novels under his second pseudonym Tom Davids. He acted as editor for a fundraising book against cancer. His main job has been with a pan-European health service provider since September 2002, where he completed his dual studies as a business informatics graduate (BA). From 2009 to 2021, he led the BI team of Corporate IT and has been responsible for the reporting solutions in the new international data & analytics domain as "Head of Reporting & BI Solutions" since 2022. "Data for the Tiger" is Gengler´s first project combining his passion for writing novels and stories with his professional role as a data & analytics expert.

Erscheinungsdatum	09.05.2023
Sprache	englisch
Maße	135 x 215 mm
Gewicht	189 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
Schlagworte	Analytics • Data • Data culture • Data-driven • Data Science
ISBN-10	3-7412-9321-0 / 3741293210
ISBN-13	978-3-7412-9321-4 / 9783741293214
Zustand	Neuware