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  2. 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, and social science domains. [2] In today's ...

  3. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence ( BI) consists of strategies and technologies used by enterprises for the data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business ...

  4. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    Business analytics. Business analytics ( BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods.

  5. Data processing - Wikipedia

    en.wikipedia.org/wiki/Data_processing

    A data processing system is a combination of machines, people, and processes that for a set of inputs produces a defined set of outputs. The inputs and outputs are interpreted as data, facts, information etc. depending on the interpreter's relation to the system. A term commonly used synonymously with data or storage (codes) processing system ...

  6. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. [4] The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and ...

  7. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision. The figure is an example of the interaction between process and data models.

  8. Business analysis - Wikipedia

    en.wikipedia.org/wiki/Business_Analysis

    Business analysis is a professional discipline [1] focused on identifying business needs and determining solutions to business problems. [2] Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development.

  9. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse ( DW or DWH ), also known as an enterprise data warehouse ( EDW ), is a system used for reporting and data analysis and is considered a core component of business intelligence. [1] Data warehouses are central repositories of integrated ...