A/B testing is a controlled experiment that compares two versions of something, a webpage, email, feature, pricing la...

Ad hoc analysis refers to on-the-spot, flexible, and one-time data exploration performed to answer a specific questio...

Aggregation is one of the most fundamental concepts in Business Intelligence and Data Analytics. At its core, aggrega...

AI analytics refers to using artificial intelligence, machine learning, and large language models (LLMs) to automate ...

Analytics engineering is the discipline that sits between data engineering and data analysis. Analytics engineers tra...

Anomaly detection is the process of identifying unusual patterns in data that deviate from expected behavior. In BI a...

API integration is the process of connecting different systems, applications, or data sources using Application Progr...

An associative engine is a data engine that allows users to explore data without being restricted to predefined hiera...

In analytics and data modeling, an attribute is any descriptive property or characteristic of an entity. If entities ...

Augmented analytics refers to using AI and machine learning to automate parts of the analytics workflow, including da...

AutoML (Automated Machine Learning) is a technology that automates the entire machine learning workflow, from model ...

Average Handling Time (AHT) is a key operational metric used in customer support, contact centers, and service teams ...

Batch ETL refers to extracting, transforming, and loading data in large batches at scheduled intervals rather than in...

Batch processing is a data processing method where data is collected over a period of time and processed together as...

Benchmarking is the practice of comparing performance metrics against a standard reference point. In analytics, bench...