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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.