### Glossary Terms

**A/B Testing**  
A/B testing is a controlled experiment that compares two versions of something, a webpage, email, feature, pricing ladder, etc.  
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**Ad hoc Analysis**  
Ad hoc analysis refers to on-the-spot, flexible, and one-time data exploration performed to answer a specific question.  
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**Aggregation**  
Aggregation is one of the most fundamental concepts in Business Intelligence and Data Analytics. At its core, aggregation involves summarizing data.  
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**AI Analytics**  
AI analytics refers to using artificial intelligence, machine learning, and large language models (LLMs) to automate data analysis and gain insights.  
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**Analytics Engineering**  
Analytics engineering is the discipline that sits between data engineering and data analysis. Analytics engineers transform data into a format that is easy to analyze.  
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**Anomaly Detection**  
Anomaly detection is the process of identifying unusual patterns in data that deviate from expected behavior. In BI and analytics, it’s crucial for insight generation.  
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**API Integration**  
API integration is the process of connecting different systems, applications, or data sources using Application Programming Interfaces (APIs).  
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**Associative Engine**  
An associative engine is a data engine that allows users to explore data without being restricted to predefined hierarchies or dimensions.  
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**Attribute**  
In analytics and data modeling, an attribute is any descriptive property or characteristic of an entity.  
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**Augmented Analytics**  
Augmented analytics refers to using AI and machine learning to automate parts of the analytics workflow, including data preparation and insight generation.  
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**AutoML**  
AutoML (Automated Machine Learning) is a technology that automates the entire machine learning workflow, from model design to deployment.  
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**Average Handling Time**  
Average Handling Time (AHT) is a key operational metric used in customer support, contact centers, and service teams to measure efficiency.  
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**Batch ETL**  
Batch ETL refers to extracting, transforming, and loading data in large batches at scheduled intervals rather than in real-time.  
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**Batch Processing**  
Batch processing is a data processing method where data is collected over a period of time and processed together as a single unit.  
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**Benchmarking**  
Benchmarking is the practice of comparing performance metrics against a standard reference point, aiding in identifying areas of improvement in analytics.