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.

  • C

    customer analytics (customer data analytics)

    Customer analytics, also called customer data analytics, is the systematic examination of a company's customer information and customer behavior to identify, attract and retain the most profitable customers.

  • customer intelligence (CI)

    Customer intelligence (CI) is information derived from customer data that an organization collects from both internal and external sources.

  • D

    d3.js (data-driven documents)

    D3.js (data-driven documents) is a library of JavaScript code that enables users to input their own data into prebuilt visualizations. The code allows users to generate graphics in frequently used web formats like HTML, CSS and SVG.

  • 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 exploration

    Data exploration should be the first step in any data analysis. Its purpose is to familiarize analysts with the features of the dataset with which they are working.

  • data journalism

    Data journalism in an approach to writing for the public in which the journalist analyzes large data sets to identify potential news stories.

  • 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 in order to identify patterns and trends in the data set being examined as a whole.

  • data science as a service (DSaaS)

    Data science as a service (DSaaS) is the delivery of analytical reports and data products with embedded analytics produced by a service provider's team of data scientists to a client enterprise.

  • data visualization

    Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

  • decision-making process

    The decision-making process, in a business context, is a set of steps taken by managers in an enterprise to determine the planned path for business initiatives and to set specific actions in motion.

  • deep analytics

    Deep analytics is the application of sophisticated data processing techniques to yield information from large and typically multi-source data sets comprised of both unstructured and semi-structured data.

  • 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.

  • embedded BI (embedded business intelligence)

    Embedded BI (business intelligence) is the integration of self-service BI tools into commonly used business applications.

  • 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.

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