Data Analytics

Ad targeting is the practice of delivering ads to specific audiences based on data and behavior.

Audience segmentation is the process of dividing an audience into distinct groups based on shared characteristics.

Dark data refers to information that organizations collect but do not use for analysis or decision-making.

Data aggregation is the process of compiling and summarizing data from various sources for analysis.

Data exhaust refers to the byproducts generated from user interactions with digital systems.

Data latency refers to the delay between data transmission and its availability for processing or analysis.

Data normalization refers to the process of adjusting values in a dataset to a common scale without distorting differences in the ranges of values.

Data silos are isolated data repositories that hinder data sharing and integration across systems.

Data transformation is the process of converting data into a suitable format for analysis or processing.

Data Velocity refers to the speed at which data is generated, processed, and analyzed, crucial for real-time decision-making.

Data-Driven Decision Making uses data analysis to guide business choices and strategies.

Diagnostic analytics examines data to understand why certain events occurred, helping organizations make informed decisions.

Elasticsearch is a powerful search and analytics engine for handling large volumes of data in real-time.

Employee Analytics involves using data to improve workforce management and decision-making.

IBM Watson is an AI platform that uses natural language processing and machine learning to analyze data and provide insights.

Medium Data refers to datasets that are larger than typical small data but smaller than big data, often manageable with standard tools.

Multi-Source Data refers to data collected from multiple origins to enhance analysis and insights.

Normalized data refers to data that has been adjusted to a common scale, enhancing comparability and analysis.

OpenSearch is an open-source search and analytics suite for data exploration and retrieval.

Supply Chain AI refers to the use of artificial intelligence to enhance supply chain management processes.