Using quantitative criteria for IT project business cases - Best Practices and Benefits

The Importance of Quantitative Criteria in IT Project Business Cases

Question

The PRIMARY reason for using quantitative criteria in developing business cases for IT projects is to:

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Explanations

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A. B. C. D.

B.

The PRIMARY reason for using quantitative criteria in developing business cases for IT projects is to improve the process of evaluating returns after implementation.

Quantitative criteria refer to the use of measurable and numerical data to evaluate the expected benefits, costs, risks, and impacts of IT projects. The use of quantitative criteria in business cases enables decision-makers to make informed and objective decisions based on reliable and relevant data.

By using quantitative criteria, IT projects can be evaluated based on their potential financial, operational, and strategic benefits, such as increased revenue, reduced costs, improved efficiency, enhanced customer satisfaction, and competitive advantage. This helps to ensure that IT investments align with the organization's goals, objectives, and priorities, and provide value for money.

Furthermore, the use of quantitative criteria enables the organization to assess the performance and success of IT projects after implementation. This can be done by comparing the actual results and outcomes of the project with the expected ones, using metrics and indicators such as return on investment (ROI), net present value (NPV), internal rate of return (IRR), payback period, and others. This helps to identify any deviations, variances, or gaps between the planned and actual outcomes of the project, and to take corrective actions if needed.

In summary, using quantitative criteria in developing business cases for IT projects helps to ensure that decisions are based on reliable and relevant data, and that the expected benefits, costs, risks, and impacts of IT projects are clearly defined, measurable, and achievable. It also helps to improve the process of evaluating returns after implementation and to identify opportunities for continuous improvement and learning.