Learning the determinants of successful project budgeting is crucial. This research attempts to
empirically find the determinants of a successful budget. To find this, this work applied three
different supervised machine learning algorithms for classification: Support Vector Machine
(SVM), Logistic regression, and Probit regression with data…[Read more]

Learning the determinants of successful project budgeting is crucial. This research attempts to
empirically find the determinants of a successful budget. To find this, this work applied three
different supervised machine learning algorithms for classification: Support Vector Machine
(SVM), Logistic regression, and Probit regression with data…[Read more]

Budgeting in the traditional sense is simply too slow and rigid to keep pace with the swiftly
changing business environment. At the moment, there is far too much volatility, complexity,
and uncertainty. A driver-based planning and budgeting model is more data-driven than a
traditional budget model. This budgeting strategy shortens the time…[Read more]