Data analytics
Work that uses data to extract meaningful information. The term does not describe a particular tool, dataset, model, conclusion, or decision.
Data glossary
Data analytics is work that uses data to extract meaningful information.
This definition distinguishes data analytics from data and data visualization. It does not collect, upload, process, analyze, validate, score, predict, recommend, or manage any data or business record.
Data analytics is commonly used for working with data to extract meaningful information. The Network of the National Library of Medicine lists data analytics as a similar term to data analysis, which it describes as the practice of working with data to extract meaningful information. A definition does not analyze a visitor’s data or determine what it means. Read the National Library of Medicine data-analysis definition.
Three related terms
The terms are connected, but they do different jobs.
A data conversation can include data, analysis, and visualizations. Knowing the distinction can clarify language without collecting records, running an analysis, or turning information into an operational conclusion.
Data
Information in a specific representation, as described in the NIST glossary. Data is an input to a discussion; it is not automatically an insight or recommendation.
Data visualization
A way information can be presented to help identify patterns. A visualization does not by itself validate information or establish what action should follow.
Why context matters
An analytics label does not establish a conclusion.
The important distinction
A glossary names the work. It does not perform the analysis.
The National Library of Medicine definition describes data analysis as working with data to extract meaningful information and names data analytics as a similar term. The terminology can orient a conversation, but it cannot analyze records, test an assumption, validate a metric, predict an outcome, or decide what a business should do.
Context shapes interpretation
Information and a decision are not the same thing.
Data analytics may be discussed with reports, metrics, patterns, visualizations, models, and operational questions. This page does not collect or process records; determine data quality, accuracy, completeness, or compliance; calculate a metric; or recommend an action from information.
A source note
Shared vocabulary can help teams describe a question.
The National Library of Medicine describes data analysis as extracting meaningful information from data and lists data analytics as a similar term. NIST describes data as information in a specific representation. These sources clarify language; they do not analyze a visitor’s information.
Keep the terminology and the analytical decision separate.
A source definition can explain what data and analysis mean. It cannot establish the quality, relevance, completeness, accuracy, meaning, significance, or actionability of a particular record, metric, visual, model, forecast, report, or decision.
Glossary boundary: This page does not collect, upload, store, process, analyze, validate, query, calculate, model, visualize, score, predict, recommend, publish, export, or manage data or records.
What this glossary does not decide
This educational definition does not collect, upload, store, process, transform, clean, combine, analyze, validate, query, calculate, model, visualize, score, predict, classify, recommend, publish, export, or manage any data, record, file, metric, forecast, product, inventory, customer, supplier, financial record, or operation; determine accuracy, completeness, quality, compliance, demand, availability, cost, profit, pricing, risk, performance, retailer acceptance, or launch readiness; or provide data, statistical, analytical, financial, accounting, tax, legal, regulatory, food-safety, procurement, logistics, inventory, or operational advice.
Source note
References for this definition
These sources support the terminology on this page. They are not a substitute for a business’s own qualified reviewers, records, methods, or applicable authorities.
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