Concepedia

Data-driven Renewal Analytics

Data-Driven Renewal Analytics is a scholarly methodology within renewal planning that systematically leverages empirical data and analytical techniques to inform, optimize, and evaluate renewal decisions, distinguishing itself through its reliance on quantitative evidence and predictive modeling rather than heuristic or intuition-based approaches.

2

Publications

57

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

1

Parents

Publications

2

1–2 of 2

Authors

6

  1. AA
    Ahmed Attalla

    University of Waterloo, Canada

    1 publications · 14 citations

    1

    h-index

  2. SΒ
    Steven Β. Mertens

    University of Illinois Urbana-Champaign, United States

    1 publications · 43 citations

    1

    h-index

  3. KM
    Kareem Mostafa

    University of Waterloo, Canada

    1 publications · 14 citations

    1

    h-index

  4. TH
    Tarek Hegazy

    University of Waterloo, Canada

    1 publications · 14 citations

    1

    h-index

  5. PF
    Peter F. Mulhall

    University of Illinois Urbana-Champaign, United States

    1 publications · 43 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. University of Waterloo

    Waterloo, Canada

    1 h-index

    3 publications

    42 citations

  2. TD Bank Group

    Toronto, Canada

    1 h-index

    1 publications

    14 citations

1–2 of 2

Venues

  1. Middle School Journal

    MSJ · 1 publications · 43 citations

    1

    h-index

  2. Journal of Building Engineering

    1 publications · 14 citations

    1

    h-index

1–2