GIGO
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing.
49 topics found for
“data quality”
Outliers
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty.
Standard Deviation
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
TQM
Total Quality Management (TQM) is a comprehensive management approach focused on continuous improvement in all aspects of an organization.
Three-Sigma Rule
A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean.
Six Sigma
A data-driven methodology aimed at improving processes by identifying and removing defects, and reducing variability.
Anomaly Detection
The process of identifying unusual patterns or outliers in data that do not conform to expected behavior.
Look Elsewhere Effect
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed.
DMAIC
Define, Measure, Analyze, Improve, and Control (DMAIC) is a data-driven improvement cycle used in Six Sigma.