analytics
Pronunciation: [əˈnæl.ɪ.tɪks]
Context: “business”
(noun) analytics means the method of collecting and examining data to help make decisions. It’s like being a detective and looking at clues to understand what’s happening in a business.
Example
The company used analytics to find out what customers like most.
Example
Without proper analytics, we had no idea why sales were dropping.
Example
How can analytics help us improve our products?
Context: “data science”
(noun) analytics refers to the scientific study of data to discover patterns or trends. It’s like using math and computers to understand big numbers and find important information.
Example
The researchers used analytics to show how climate change is affecting weather patterns.
Example
They didn’t use analytics, so their findings were confusing and unclear.
Example
What types of analytics can we use to analyze this data set?
Context: “technology”
(noun) analytics is the tools and software used to perform data analysis. It's similar to having special equipment or apps that help you look at information in a smart way.
Example
The new software provides powerful analytics that help us manage our website traffic.
Example
Without the right analytics tools, we couldn't track our online performance.
Example
Which analytics tools do we need to improve our website?