5V’s of Big Data
Characteristics of big data defined as Volume, Velocity, Variety, Veracity, and Value.
96 topics found for
“data-driven insights”
Big Data
Extremely large data sets that can be analyzed computationally to reveal patterns, trends, and associations.
Big Data Analytics
The process of examining large and varied data sets to uncover hidden patterns, correlations, and insights.
Data Analytics
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
Thin Data
Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides.
Moneyball
The practice of using data analytics and metrics to make informed decisions, focusing on measurable outcomes and efficiency rather than intuition or traditional methods.
Analytics
The systematic computational analysis of data or statistics to understand and improve business performance.
Descriptive Analytics
The interpretation of historical data to identify trends and patterns.
Outliers
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.