5V’s of Big Data
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
A type of data visualization that uses dots to represent values for two different numeric variables, plotted along two axes.
Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes.
A visual representation of information or data designed to make complex information easily understandable at a glance.
Business Intelligence (BI) encompasses technologies, applications, and practices for the collection, integration, analysis, and presentation of business information.
The part of an application that encodes the real-world business rules that determine how data is created, stored, and modified.
Recency, Frequency, Monetary (RFM) analysis is a marketing technique used to evaluate and segment customers based on their purchasing behavior.