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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    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] Statistician John Tukey, defined data analysis in 1961, as:

  3. 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]

  4. Corporate Finance Institute - Wikipedia

    en.wikipedia.org/wiki/Corporate_Finance_Institute

    CFI also offers the Commercial Banking and Credit Analyst (CBCA) certification which is designed for the credit analysts who are working in different banks, credit rating agency or insurance. The program includes 17 optional prerequisites to review the fundamentals and 15 core courses to build a foundation in credit analysis.

  5. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [ 3 ] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year.

  6. Business intelligence software - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence_software

    Business intelligence software is a type of application software designed to retrieve, analyze, transform and report data for business intelligence (BI). The applications generally read data that has been previously stored, often - though not necessarily - in a data warehouse or data mart .

  7. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    To create a synthetic data point, take the vector between one of those k neighbors, and the current data point. Multiply this vector by a random number x which lies between 0, and 1. Add this to the current data point to create the new, synthetic data point. Many modifications and extensions have been made to the SMOTE method ever since its ...