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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 ...

  3. Data auditing - Wikipedia

    en.wikipedia.org/wiki/Data_auditing

    Data auditing is the process of conducting a data audit to assess how company's data is fit for given purpose. This involves profiling the data and assessing the impact of poor quality data on the organization's performance and profits. It can include the determination of the clarity of the data sources and can be applied in the way banks and ...

  4. Statistical disclosure control - Wikipedia

    en.wikipedia.org/wiki/Statistical_disclosure_control

    Statistical disclosure control. Statistical disclosure control ( SDC ), also known as statistical disclosure limitation ( SDL) or disclosure avoidance, is a technique used in data-driven research to ensure no person or organization is identifiable from the results of an analysis of survey or administrative data, or in the release of microdata.

  5. Clinical audit - Wikipedia

    en.wikipedia.org/wiki/Clinical_audit

    Joint audit is far more profitable in this situation and should be encouraged by the Clinical Audit lead and manager. Re-audit: Sustaining Improvements. After an agreed period, the audit should be repeated. The same strategies for identifying the sample, methods and data analysis should be used to ensure comparability with the original audit.

  6. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    e. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts ...

  7. Audit evidence - Wikipedia

    en.wikipedia.org/wiki/Audit_evidence

    Data analytics can also provide a thorough, detailed analysis of a company's general ledger or sub ledgers, which can provide more evidence to the auditor. In relation to specific kinds of audit evidence, there are a couple examples where audit data analytics can alter the methods of collection.

  8. Data envelopment analysis - Wikipedia

    en.wikipedia.org/wiki/Data_envelopment_analysis

    Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. [1] DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications [2] [3] [4] Additionally, DEA has been used to assess the performance of natural language ...

  9. Technical audit - Wikipedia

    en.wikipedia.org/wiki/Technical_audit

    Technical audit (TA) is an audit performed by an auditor, engineer or subject-matter expert evaluates deficiencies or areas of improvement in a process, system or proposal. Technical audit covers the technical aspects of the project implemented in the organization. For this, an auditor should have a deep knowledge of development, design and ...