Artificial Intelligence
Data Processing
Plain English
Turning raw glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term into something useful.
Definition
glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term processing is the glossaryTransformationTransformation is a fundamental change in how a system, organisation, or experience operates, often involving structure, processes, and behaviour.Open glossary term of raw data into a usable format through cleaning, structuring, and analysis.
In practice
Used in glossaryPipelineA pipeline is a sequence of automated steps that process code or data from start to finish.Open glossary term to prepare glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term for analytics, reporting, or glossaryMachine Learning (ML)Machine Learning is a subset of AI that enables systems to learn from data and improve performance without being explicitly programmed.Open glossary term.
In context
It is where most of the time in any glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term project goes, and where the decisions that shape every downstream result get made without being written down.
The reality
Most effort in glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term work goes into cleaning and preparing data, not analysing it.
Compared with
Data Processing vs Data Analysis
Processing prepares glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term: cleaning, structuring, transforming. Analysis interrogates it for answers. Processing decisions constrain what analysis is possible, which is why they deserve documenting.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is data processing?
It is transforming raw glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term into usable information.
Why is data processing important?
It ensures glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term is accurate and usable.
What does data processing involve?
Cleaning, structuring, and analysing glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term.
What is a common challenge?
Handling messy or incomplete glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term.
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