Business Analytics/Business Intelligence Definitions

  • E

    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.

  • enterprise mashup (or data mashup)

    An enterprise mashup is the integration of heterogeneous digital data and applications from multiple sources for business purposes. An enterprise mashup is also sometimes known as a business mashup or, less precisely, as a data mashup.

  • F

    funnel analysis

    Funnel analysis is a way to measure and improve the performance of customer interactions in a step-wise progression from the initial customer contact to a predetermined conversion metric.

  • G

    Google Advertising ID

    Google Advertising ID is a piece of universally unique identifier code that allows mobile applications running on Android devices to identify users and gather data for the purposes of building profiles.

  • Google Analytics

    Google Analytics is a free Web analytics service that provides statistics and basic analytical tools for search engine optimization (SEO) and marketing purposes. The service is available to anyone with a Google account.

  • Google Analytics dashboard

    The Google Analytics dashboard is a user interface to the company’s Web analytics product. Google Analytics is a free service that provides statistics and basic analytical tools for marketing and search engine optimization (SEO) purposes.

  • 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. 

  • Hadoop Distributed File System (HDFS)

    HDFS is a distributed file system that provides high-performance access to data across Hadoop clusters. Like other Hadoop-related technologies, HDFS has become a key tool for managing pools of big data and supporting big data analytics applications.

  • heat map (heatmap)

    A heat map is a two-dimensional representation of data in which values are represented by colors. Heat maps allow users to understand and analyze complex data sets.

  • I

    in-database analytics

    In-database analytics is a scheme for processing data within the database, avoiding the data movement that slows response time.  

  • in-memory analytics

    In-memory analytics queries data residing in a computer’s random access memory (RAM) rather than data stored on physical disks. This results in vastly shortened query response times.

  • K

    key performance indicators (KPIs)

    Key performance indicators (KPIs) are business metrics used by corporate executives and other managers to track and analyze factors deemed crucial to the success of an organization.

  • 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.

  • location intelligence (LI)

    Location intelligence (LI) is a business analysis tool capability that enables companies to gather geographic- and location-related data to better understand global, regional and local business trends.

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