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  2. Customer analytics - Wikipedia

    en.wikipedia.org/wiki/Customer_analytics

    Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing , site selection , and customer relationship management .

  3. RFM (market research) - Wikipedia

    en.wikipedia.org/wiki/RFM_(market_research)

    RFM is a method used for analyzing customer value and segmenting customers which is commonly used in database marketing and direct marketing. It has received particular attention in the retail and professional services industries. [1] RFM stands for the three dimensions: Recency – How recently did the customer purchase?

  4. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    Dashboards aid with budgeting, management control, and wage control. Dashboards are used to present data in a quick and easy to read way. The ability to present data in a quick way with a visual allows for more data to be processed and understood. Dashboards are used for performance reports, sales analysis on sectors, and inventory rotation.

  5. Balanced scorecard - Wikipedia

    en.wikipedia.org/wiki/Balanced_scorecard

    Other influences may include the pioneering work of General Electric on performance measurement reporting in the 1950s and the work of French process engineers (who created the tableau de bord – literally, a "dashboard" of performance measures) in the early part of the 20th century. [8]

  6. Tableau Software - Wikipedia

    en.wikipedia.org/wiki/Tableau_Software

    Tableau Software, LLC is an American interactive data visualization software company focused on business intelligence. [ 2 ] [ 3 ] It was founded in 2003 in Mountain View, California , and is currently headquartered in Seattle, Washington . [ 4 ]

  7. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data analysis is an indispensable part of all applied research and problem solving in industry. The most fundamental data analysis approaches are visualization (histograms, scatter plots, surface plots, tree maps, parallel coordinate plots, etc.), statistics ( hypothesis test , regression , PCA , etc.), data mining ( association mining , etc ...

  8. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11]

  9. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    OLAP clients include many spreadsheet programs like Excel, web application, SQL, dashboard tools, etc. Many clients support interactive data exploration where users select dimensions and measures of interest. Some dimensions are used as filters (for slicing and dicing the data) while others are selected as the axes of a pivot table or pivot chart.