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Many research articles around the concept of cost reduction however, limited literature has been published in the areas of Artificial Intelligence, analytics and Rules-Based Systems and their specific application in Procurement. This article proposes a new enterprise architecture, leveraging emerging technologies to guide procurement organizations in their digital transformation. Our intent is to discuss how analytics, business rules and complex event processing (CEP) can be explored and adapted to the world of procurement to help reduce costs. This article concludes by suggesting an approach to implement the proposed architecture.<\/p>","DOI":"10.4018\/ijitsa.2020070104","type":"journal-article","created":{"date-parts":[[2020,4,6]],"date-time":"2020-04-06T20:40:26Z","timestamp":1586205626000},"page":"73-98","source":"Crossref","is-referenced-by-count":9,"title":["An Analytics Architecture for Procurement"],"prefix":"10.4018","volume":"13","author":[{"given":"Sherif","family":"Barrad","sequence":"first","affiliation":[{"name":"Massachusetts Institute of Technology, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7732-9849","authenticated-orcid":true,"given":"St\u00e9phane","family":"Gagnon","sequence":"additional","affiliation":[{"name":"Universit\u00e9 du Qu\u00e9bec en Outaouais (UQO), Canada"}]},{"given":"Raul","family":"Valverde","sequence":"additional","affiliation":[{"name":"Concordia University, Canada"}]}],"member":"2432","reference":[{"key":"IJITSA.2020070104-0","unstructured":"Tang, S. 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