Selection Bias
A bias that occurs when the sample chosen for a study or survey is not representative of the population being studied, affecting the validity of the results.
A bias that occurs when the sample chosen for a study or survey is not representative of the population being studied, affecting the validity of the results.
The use of data and insights to understand and manage relationships with customers and prospects.
A cognitive bias where people ignore the relevance of sample size in making judgments, often leading to erroneous conclusions.
A comprehensive view of a customer that includes data from all interactions and touchpoints across the customer journey.
A data-driven methodology aimed at improving processes by identifying and removing defects, and reducing variability.
A framework that incorporates privacy considerations into the design and development of products and services from the outset.
A sorting algorithm that distributes elements into a number of buckets, sorts each bucket individually, and then combines the buckets to get the sorted list.
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes.
Ontology is a comprehensive model that includes entities, their attributes, and the complex relationships between them, while taxonomy is a hierarchical classification system that organizes entities into parent-child relationships.