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  2. Cross-industry standard process for data mining - Wikipedia

    en.wikipedia.org/wiki/Cross-industry_standard...

    Cross-industry standard process for data mining. The Cross-industry standard process for data mining, known as CRISP-DM, [1] is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model. [2]

  3. SPSS - Wikipedia

    en.wikipedia.org/wiki/SPSS

    SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics .

  4. IBM - Wikipedia

    en.wikipedia.org/wiki/IBM

    IBM has a large and diverse portfolio of products and services. As of 2016, these offerings fall into the categories of cloud computing, artificial intelligence, commerce, data and analytics, Internet of things (IoT), IT infrastructure, mobile, digital workplace and cybersecurity.

  5. IBM Cognos Analytics - Wikipedia

    en.wikipedia.org/wiki/IBM_Cognos_Analytics

    Website. www .ibm .com /products /cognos-analytics. IBM Cognos Analytics with Watson (aka Cognos Analytics, and formerly known as IBM Cognos Business Intelligence) is a web-based integrated business intelligence suite by IBM. It provides a toolset for reporting, analytics, scorecarding, and monitoring of events and metrics.

  6. SAS (software) - Wikipedia

    en.wikipedia.org/wiki/SAS_(software)

    SAS (previously "Statistical Analysis System") is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning, deep ...

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

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