@article {10.3844/ajeassp.2021.73.80,
article_type = {journal},
title = {Combination of Backward and Forward Approaches for Future Prediction by Business Intelligence Tools},
author = {Bisheh, Mohammad Najjartabar and Raissi, Abbas and Mokhtari, Saeedeh},
volume = {14},
number = {1},
year = {2021},
month = {Jan},
pages = {73-80},
doi = {10.3844/ajeassp.2021.73.80},
url = {https://thescipub.com/abstract/ajeassp.2021.73.80},
abstract = {Business intelligence tools now play an important role in data collection, processing and analyses of organizations. Managers may use outputs of such tools and make improved decisions. To provide an even better situation for managers, business intelligence tools may be used to predict future and display present and past statuses of the organization. Available business intelligence tools predict future based on historical data, i.e., they are said to enjoy backward approaches. In this study, it was tried to change extrapolation of historical trends according to our expectations of future events so that forward approaches could be employed for prediction purposes.},
journal = {American Journal of Engineering and Applied Sciences},
publisher = {Science Publications}
}