Developing Predictive, Data-Driven Growth Models for Transaction Banking to Optimize Corporate and Public-Sector Outcomes
- DOI
- 10.5281/zenodo.21746039
- Published
- 2022
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.21746039,
title = {Developing Predictive, Data-Driven Growth Models for Transaction Banking to Optimize Corporate and Public-Sector Outcomes},
author = {Osuji, Vivian Chilee and Okafor, Chizoba Michael and Dako, Omoize Fatimetu},
year = {2022},
doi = {10.5281/zenodo.21746039},
url = {https://doi.org/10.5281/zenodo.21746039}
}RIS
TY - JOUR TI - Developing Predictive, Data-Driven Growth Models for Transaction Banking to Optimize Corporate and Public-Sector Outcomes AU - Osuji, Vivian Chilee AU - Okafor, Chizoba Michael AU - Dako, Omoize Fatimetu PY - 2022 DO - 10.5281/zenodo.21746039 UR - https://doi.org/10.5281/zenodo.21746039 ER -
APA
Chilee, O. V., Michael, O. C., & Fatimetu, D. O. (2022). Developing Predictive, Data-Driven Growth Models for Transaction Banking to Optimize Corporate and Public-Sector Outcomes. https://doi.org/10.5281/zenodo.21746039