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  2. Distributional data analysis - Wikipedia

    en.wikipedia.org/wiki/Distributional_data_analysis

    Distributional data analysis is a branch of nonparametric statistics that is related to functional data analysis.It is concerned with random objects that are probability distributions, i.e., the statistical analysis of samples of random distributions where each atom of a sample is a distribution.

  3. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for 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 performance management, benchmarking, text ...

  4. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    Collecting data from numerous sources and analyzing it using different data analysis tools has its advantages, including overcoming the risk of method bias; using data from different sources and analyzing it using multiple analysis methods guarantees businesses and organizations robust and reliable findings they can use in decision making.

  5. Business analytics - Wikipedia

    en.wikipedia.org/wiki/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 .

  6. Information bottleneck method - Wikipedia

    en.wikipedia.org/wiki/Information_bottleneck_method

    The information bottleneck method is a technique in information theory introduced by Naftali Tishby, Fernando C. Pereira, and William Bialek. [1] It is designed for finding the best tradeoff between accuracy and complexity (compression) when summarizing (e.g. clustering) a random variable X, given a joint probability distribution p(X,Y) between X and an observed relevant variable Y - and self ...

  7. Complex event processing - Wikipedia

    en.wikipedia.org/wiki/Complex_event_processing

    Operational intelligence — Both CEP and ESP are technologies that underpin operational intelligence. Pattern matching; Real-time business intelligenceBusiness Intelligence is the application of knowledge derived from CEP systems; Real-time computing — CEP systems are typically real-time systems; Real time enterprise

  8. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    OLAP is typically contrasted to OLTP (online transaction processing), which is generally characterized by much less complex queries, in a larger volume, to process transactions rather than for the purpose of business intelligence or reporting. Whereas OLAP systems are mostly optimized for read, OLTP has to process all kinds of queries (read ...

  9. Journal entry - Wikipedia

    en.wikipedia.org/wiki/Journal_entry

    A journal entry is the act of keeping or making records of any transactions either economic or non-economic. Transactions are listed in an accounting journal that shows a company's debit and credit balances. The journal entry can consist of several recordings, each of which is either a debit or a credit. The total of the debits must equal the ...