Artificial intelligence: Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
Machine learning: Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.
SSOT: The SSOT (Single Source of Truth) is a key concept for a data strategy and allows all members of an organisation to make business decisions based on the same data sets.
ETL: Which stands for extract, transform, and load, is the process data engineers use to extract data from different sources, transform the data into a usable and trusted resource, and load that data into the systems end-users can access and use downstream to solve business problems.
Data architecture: Data architecture is a framework for how IT infrastructure supports your data strategy.
Data Strategy: Data strategy refers to the tools, processes, and rules that define how to manage, analyze, and act upon business data
Data storytelling: Data storytelling is a trendy methodology for communicating information, tailored to a specific audience, with a compelling narrative.
Data journey: Data Journey is the process by which an analyst arrives at the final human friendly reports from their original datasets.