Business Intelligence and Data Mining to Support Sales in Retail-Reference-Cited by-同舟云学术

Business Intelligence and Data Mining to Support Sales in Retail

Published:2019-11-29 Issue: Volume: Page:406-419
ISSN:2190-3018
Container-title:Marketing and Smart Technologies
language:
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Author:

Castelo-Branco Francisca,Reis José Luís,Vieira José Carvalho,Cayolla Ricardo

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-1564-4_38

Reference29 articles.

1. O’Connell, L.: Total retail sales worldwide from 2015 to 2020 (2019). https://www.statista.com/statistics/443522/global-retail-sales/

2. Markets Insider: The growth of sales in sportswear (2017). https://markets.businessinsider.com/news/stocks/the-growth-of-sales-in-sportswear-1002249734 . Accessed 15 Mar 2019

3. Statista Market Forecast: Sports & outdoor—Portugal (2019). https://www.statista.com/outlook/259/147/sports-outdoor/portugal?currency=eur

4. Gang, T., Kai, C., Bei, S.: The research & application of business intelligence system in retail industry. In: Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008, September, pp. 87–91 (2008). https://doi.org/10.1109/ICAL.2008.4636125

5. Chen, H., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165–1188 (2012)

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