In our glossary you will find key technical terms relating to data analysis, business intelligence, artificial intelligence, automated processes and IT infrastructure – clearly explained and sorted alphabetically.
Ideal for specialist departments, IT managers and decision-makers who want to better understand data-driven solutions.
A
Technology that enables machines to emulate human thinking and learning.
Programming interface via which software components can communicate with each other and exchange data.
Technical processes for the structured processing of large amounts of data without manual intervention.
B
Systems and methods for analyzing business-relevant data to support decision-making.
C
Provision of IT resources via external servers in the cloud, scalable and usable regardless of location.
Individually developed software solutions that are tailored to a company’s specific requirements.
D
Visual interface for compact presentation of KPIs, analyses and real-time data.
Analysis of data to identify patterns, correlations and recommendations for action.
Automated collection, processing and forwarding of data along defined processes.
Structured collection, maintenance and organization of data over its entire life cycle – the basis for reliable analyses.
Measure of the accuracy, consistency, completeness and relevance of data.
Graphical representation of data for better interpretation and communication of information.
Supporting decision-making processes with data-based analyses, models and systems.
E
Data integration process: Extract, Transform, Load.
H
Technical provision of web applications, databases or services on external servers – local or cloud-based.
K
Key performance indicators for the objective measurement of performance and target achievement in companies.
M
Sub-area of AI in which systems learn independently from data and recognize patterns.
Software that serves as an intermediary between applications and systems and enables them to communicate.
P
Continuous monitoring and control of company performance based on defined targets.
Data-based forecasting of future developments and trends using statistical models.
Automation of recurring processes to increase efficiency and reduce errors.
R
Creation of structured reports for the presentation of key figures, analyses and developments.
S
Provision of software via the Internet, usable without local installation.
Integration of new software solutions into existing systems and processes.
Overall concept and structure of technical systems and their components.
W
Programs that are used via the browser and do not require a local installation.