Big data analytics Definitions

  • A

    Ad Hoc Analysis

    Ad hoc analysis is a business intelligence (BI) process designed to answer a single, specific business question.

  • advanced analytics

    Advanced analytics is a broad category of inquiry that can be used to help drive changes and improvements in business practices.

  • B

    big data analytics

    Big data analytics is the often complex process of examining large and varied data sets -- or big data -- to uncover information including hidden patterns, unknown correlations, market trends and customer preferences that can help organizations make informed business decisions.

  • business analytics (BA)

    Business analytics (BA) is the practice of iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis.

  • D

    data artist

    A data artist is a business analytics (BA) specialist who creates graphs, charts, infographics and other visual tools that help people understand complex data.

  • data preparation

    Data preparation is the process of gathering, combining, structuring and organizing data so it can be analyzed as part of data visualization, analytics and machine learning applications.

  • data sampling

    Data sampling is a statistical analysis technique used to select, manipulate and analyze a representative subset of data points to identify patterns and trends in the larger data set being examined.

  • data science as a service (DSaaS)

    Data science as a service (DSaaS) is a form of outsourcing that involves the delivery of information gleaned from advanced analytics applications run by data scientists at an outside company to corporate clients for their business use.

  • E

    edge analytics

    Edge analytics applies algorithms to data at the point of collection in order to trigger actions and determine what should be sent back to a central data repository and what should be discarded.

  • ensemble modeling

    Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread in order to improve the accuracy of predictive analytics and data mining applications.

  • H

    Hadoop cluster

    A Hadoop cluster is a special type of computational cluster designed specifically for storing and analyzing huge amounts of unstructured data in a distributed computing environment. 

  • L

    Lambda architecture

    Lambda architecture is an approach to big data management that provides access to batch processing and near real-time processing with a hybrid approach.

  • logistic regression

    Logistic regression is a statistical analysis method used to predict a data value based on prior observations of a data set. A logistic regression model predicts a dependent data variable by analyzing the relationship between one or more existing independent variables.

  • N

    natural language processing (NLP)

    Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken.

  • P

    predictive analytics

    Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends.

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