Business Analytics/Business Intelligence Definitions

This glossary explains the meaning of key words and phrases that information technology (IT) and business professionals use when discussing business analytics and related software products. You can find additional definitions by visiting WhatIs.com or using the search box below.

  • P

    predictive analytics

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

  • process intelligence (business process intelligence)

    Process intelligence is data that has been systematically collected to analyze the individual steps within a business process or operational workflow. 

  • processing in memory (PIM)

    Processing in memory (PIM, sometimes called processor in memory) is the integration of a processor with RAM (usually DRAM or SRAM) on a single chip. The result is sometimes known as a PIM chip.

  • Q

    Qlik

    Qlik is a software vendor specializing in data visualization, executive dashboards and self-service business intelligence products.

  • R

    R programming language

    The R programming language is an open source scripting language for predictive analytics and data visualization.

  • real-time business intelligence (BI)

    Real-time business intelligence is an approach to data analytics that enables business users to get up-to-the-minute data by directly accessing operational systems.

  • revenue attribution

    Revenue attribution is the process of matching customer sales to specific advertisements in order to understand where revenue is coming from and optimize how advertising budgets are spent in the future.

  • S

    SAS Institute Inc.

    SAS Institute Inc. is a software vendor that specializes in advanced and predictive analytics applications, as well as business intelligence and data visualization tools.

  • Scala (Scalable Language)

    Scala is a software programming language that mixes object-oriented methods with functional programming capabilities. It was used to create the scalable Spark analytics engine.

  • self-service analytics

    Self-service analytics is an approach to advanced analytics that gives the ability to conduct analyses to business users, rather than data scientists.

  • self-service business intelligence (BI)

    Self-service business intelligence (BI) is an approach to data analytics that enables business users to access and work with corporate data even if they do not have a background in statistical analysis, BI or data mining.

  • sentiment analysis (opinion mining)

    Sentiment analysis, also referred to as opinion mining, is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text.

  • small multiples

    Small multiples (also called trellis charts or lattice charts) provide data visualization of many small, interrelated graphs clustered together in a single display.

  • social analysis

    Social analysis is the practice of analyzing a situation or social problem through objective, systematic exploration.

  • social media analytics

    Social media analytics is the practice of gathering data from social media websites and analyzing that data using social media analytics tools to make business decisions.

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