Abstract
One of the major problems faced by both the novice and expert users of computerized scientific analysis methods is the sheer complexity of the relevant software. Valuable time is spent in handling this complexity, reducing the available time for analysis and consideration of the results. Integrated spreadsheet packages opened new windows of opportunity to apply many analytical techniques with relative ease. They offered the user a modelling architecture which, though structured to meet the “ease of use” criterion, is sufficiently flexible and open-ended to perform countless analytical tasks or build decision support models. One such task is statistical analysis for forecasting purposes.
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*Dr Robert Fildes teaches operational research and forecasting at the University of Manchester Business School, Manchester. He has published four books on forecasting and planning, most recently The Forecasting Accuracy of Major Time Series Methods and the World Index of Economic Forecasts. He was co-founder in 1981 of the Journal of Forecasting and in 1985 of the International Journal of Forecasting. In 1988 he took over as Editor-in-Chief. Dr Fildes has published numerous articles in academic journals, including Economics, Management Science and the Journal of the Operational Research Society. In 1985 he was a Visiting Fellow at Bell Communications Research, USA.
**Ali Nasralla is a Senior Fellow in Financial Services at the Manchester Business School, Manchester, where he lectures and researches into areas relating to banking, corporate financial management and information technology.
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Nasralla, A., Fildes, R. Forecast! – Forecasting software for Lotus. OR Insight 2, 22–24 (1989). https://doi.org/10.1057/ori.1989.15
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DOI: https://doi.org/10.1057/ori.1989.15