Manufacturing Analytics Glossary

Glossary of Manufacturing Analytics Terms

AnalyticsThe computational analysis of data to discover patterns and information.
APIApplication program interface – specifies how software components should interact and facilitates the integration of features, sharing of data, etc.
Big dataThe analysis of extremely large and diverse data sets to reveal patterns, trends, and associations.
CleansingSee “Data cleansing.”
ClusterA group of servers and other computing resources to enable high availability.
CollectionSee “Data collection.”
ConditioningSee “Data conditioning.”
Data cleansingThe process of reviewing data and improving the quality of that data by removing duplicates, fixing incorrect information, inferring missing information, etc.
Data collectionThe process of identifying data sources and variables of interest and systematizing the gathering of those variables.
Data conditioningThe process of cleansing the data, transforming and blending it into useful data models, and optimizing the data for future analysis.
Data integrationThe process of combining data that’s been collected from disparate sources including merging multiple sources of the same type or combining data from multiple different types of sources into single records.
Data modeling Understanding business and technical requirements, and identifying data sources and variables to satisfy those requirements.
Data scientistA practitioner of the data science discipline, which incorporates data, statistics, computer science, machine learning, and visualization.
Data visualizationPresentation of data to improve the ability to understand and communicate meaning.
Industrial Internet of things (IIOT)
The application of data science to sensor data, M2M communications, automation technologies, and industrial systems.
IntegrationSee “Data integration.”
Machine learningA method by which computer programs examine prior data to discover trends and outliers, and predict potential future outcomes.
MetadataData about data – can describe how the data is structured or provide summary descriptions of the data.
ModelingSee “Data modeling.”
Predictive analyticsA branch of analytics in which historic data is used to make predictions about future events or states.
VisualizationSee “Data visualization.”

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