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  2. Gap analysis - Wikipedia

    en.wikipedia.org/wiki/Gap_analysis

    In management literature, gap analysis involves the comparison of actual performance with potential or desired performance. [1] If an organization does not make the best use of current resources, or forgoes investment in productive physical capital or technology, it may produce or perform below an idealized potential.

  3. XLfit - Wikipedia

    en.wikipedia.org/wiki/XLfit

    XLfit is a Microsoft Excel add-in that can perform regression analysis, curve fitting, and statistical analysis. It is approved by the UK National Physical Laboratory and the US National Institute of Standards and Technology [1] XLfit can generate 2D and 3D graphs and analyze data sets. XLfit can also analyse the statistical data.

  4. Product fit analysis - Wikipedia

    en.wikipedia.org/wiki/Product_fit_analysis

    A Product fit analysis (PFA) is a form of requirements analysis of the gap between an IT product's functionality and required functions. It is a document which consists of all the business requirements which are mapped to the product or application .

  5. Requirements analysis - Wikipedia

    en.wikipedia.org/wiki/Requirements_analysis

    Discovery, analysis, and specification move the understanding from a current as-is state to a future to-be state. Requirements specification can cover the full breadth and depth of the future state to be realized, or it could target specific gaps to fill, such as priority software system bugs to fix and enhancements to make.

  6. 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 ...

  7. Linear least squares - Wikipedia

    en.wikipedia.org/wiki/Linear_least_squares

    Linear Template Fit (LTF) [7] combines a linear regression with (generalized) least squares in order to determine the best estimator. The Linear Template Fit addresses the frequent issue, when the residuals cannot be expressed analytically or are too time consuming to be evaluate repeatedly, as it is often the case in iterative minimization ...

  8. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints. [ 4 ] [ 5 ] Curve fitting can involve either interpolation , [ 6 ] [ 7 ] where an exact fit to the data is required, or smoothing , [ 8 ] [ 9 ] in which a "smooth ...

  9. Strategic fit - Wikipedia

    en.wikipedia.org/wiki/Strategic_fit

    A high degree of strategic fit from can potentially yield many benefits for an organization. Best case scenario a high degree of strategic fit may be the key to a successful merger, an efficient organization, synergy effects or cost reductions. It is a vital term and it should be taken into consideration when evaluating a company's strategy and ...