Predictive Budget Analytics

Predictive Budget Analytics is a computational methodology within rolling budget forecasting that integrates statistical modeling and machine learning techniques to dynamically project future financial outcomes based on historical data, real-time inputs, and changing business conditions, thereby enabling proactive and data-driven budgetary decisions.

1

Publications

21

Citations

3

Authors

2

Institutions

Publications per year

2017–2026

0

Authors

3

  1. CF
    Cornelia Fraune

    Technische Universität Darmstadt, Germany

    1 publications · 21 citations

    1

    h-index

  2. SH
    Simon Hegelich

    Technical University of Munich, Germany

    1 publications · 21 citations

    1

    h-index

  3. DK
    David Knollmann

    Malden Public Schools, United States

    1 publications · 21 citations

    1

    h-index

1–3 of 3

Institutions

2

  1. Malden Public Schools

    Malden, United States

    1 h-index

    3 publications

    63 citations

  2. Massachusetts Department of Elementary and Secondary Education

    Malden, United States

    1 h-index

    3 publications

    63 citations

1–2 of 2

Venues

  1. Policy Studies Journal

    PSJ · 1 publications · 21 citations

    1

    h-index

1–1