Analytics: Using data to measure and understand what is happening — usage, performance and trends — usually through reports and dashboards.
Example
Product analytics show that most users leave the sign-up page at the phone-number step.
Why Analytics matters for IT interns
Teams use analytics to decide what to build or fix next, so your features may be measured this way.
Where you will hear it
You will hear this term in data, analytics, and AI work, and increasingly in general software teams too. If someone uses it and you are not sure what they mean in your project, it is completely fine to ask; every team uses terms a little differently.
Related terms
- Accuracy: How often a model’s predictions are correct, usually given as a percentage.
- API: A defined way for one piece of software to talk to another.
- Artificial Intelligence (AI): The broad field of building systems that do tasks which normally need human intelligence, such as…
- Data: Facts and records that are collected and stored — such as orders, clicks, marks or messages — which software…
- Data Analysis: Examining data to find patterns, answer questions and support decisions, often with Excel, SQL, Python or…
- Data Science: Using statistics, programming and machine learning to find insights in data and build models that make…
Previous term: Agile | Next term: API
Related guides
Frequently asked questions
What is Analytics?
Using data to measure and understand what is happening — usage, performance and trends — usually through reports and dashboards.
What is an example of Analytics?
Product analytics show that most users leave the sign-up page at the phone-number step.
Why does Analytics matter for IT interns?
Teams use analytics to decide what to build or fix next, so your features may be measured this way.
Explore more internship terms
The IT Internship Glossary explains 199 terms you will hear before and during your internship, with simple definitions and real examples.
Browse all 199 terms