{"id":2033,"date":"2022-02-25T17:15:41","date_gmt":"2022-02-25T17:15:41","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/speakers\/beverly-wright-copy\/"},"modified":"2022-03-01T19:56:47","modified_gmt":"2022-03-01T19:56:47","slug":"moshe-rosenwein","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/speakers\/moshe-rosenwein\/","title":{"rendered":"Moshe Rosenwein"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-2033\" data-postid=\"2033\" class=\"themify_builder_content themify_builder_content-2033 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_xj99991 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_bpu7991 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_37g1991 image-top  track machineLearn tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img decoding=\"async\" src=\"\/wordpress\/analytics2022\/files\/2022\/02\/mosheRosenwein.jpg\" title=\"Moshe Rosenwein\" alt=\"Moshe Rosenwein headshot\">    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Moshe Rosenwein                            <\/h3>\n                    <\/div>\n    <!-- \/image-content -->\n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_8xc7992 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_3po0992   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Moshe Rosenwein<\/h1>\n<h5>Director, Data Science and Analytics at Bayer Healthcare <\/h5>\n<p>Dr. Moshe Rosenwein is Director, Data Science and Analytics, at Bayer Healthcare. Prior to joining Bayer, he held similar positions at AT&amp;T Bell Laboratories, Medco Health Solutions, Novartis, and Eisai. Moshe received his Ph.D. in decision sciences from the Wharton School, focusing on heuristic algorithms for solving discrete optimization models. He has published 20 peer-reviewed journal articles in management science professional journals and co-authored two textbooks on project management. He has presented talks and seminars at numerous professional conferences and universities. While at Medco, he led a cross-functional team in capturing a semi-finalist in the Edelman competition, recognizing excellence in the practice of management science. Moshe also serves as an adjunct professor at Columbia University, teaching a course in project management in Columbia\u2019s School of Engineering. <\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"2ke0991\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_2ke0991 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_5dzu992 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_eku2992 level professional  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <p>Professional<\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_n98h993 track machineLearn  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Machine Learning<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_6jtm993   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Integration of Marketing Mix Modeling and Portfolio Optimization in Promotion Resource Allocation<\/h2>\n<p>Allocation of scarce promotion resources among competing brands in a portfolio is a key strategic planning decision in pharmaceutical marketing. Typical business questions include: (i) How effective were specific promotion tactics in the past as measured by return-on-investment (ROI)? (ii) Can the promotion budget for particular tactics for specific brands be modified going forward in order to efficiently increase revenue? Marketing mix (MMx) &#8211; a series of statistical, regression models &#8211; estimates the level of return associated with each level of promotion spend. The model generates response curves, for each tactic and brand across the portfolio. The response curves are the inputs into a non-linear programming (NLP) model that solves the portfolio optimization business problem. At Bayer Healthcare, we integrated MMx statistical models with an NLP optimization model. Our solution approach identified opportunities to both grow top-line revenue and profitability by optimally investing in various promotion tactics.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Moshe Rosenwein Moshe Rosenwein Director, Data Science and Analytics at Bayer Healthcare Dr. Moshe Rosenwein is Director, Data Science and Analytics, at Bayer Healthcare. Prior to joining Bayer, he held similar positions at AT&amp;T Bell Laboratories, Medco Health Solutions, Novartis, and Eisai. Moshe received his Ph.D. in decision sciences from the Wharton School, focusing on [&hellip;]<\/p>\n","protected":false},"author":1001094,"featured_media":10,"parent":256,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-2033","page","type-page","status-publish","has-post-thumbnail","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Moshe Rosenwein - 2022 INFORMS Business Analytics Conference<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/speakers\/moshe-rosenwein\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Moshe Rosenwein\" \/>\n<meta property=\"og:description\" content=\"Moshe Rosenwein Moshe Rosenwein Director, Data Science and Analytics at Bayer Healthcare Dr. Moshe Rosenwein is Director, Data Science and Analytics, at Bayer Healthcare. 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Prior to joining Bayer, he held similar positions at AT&amp;T Bell Laboratories, Medco Health Solutions, Novartis, and Eisai. Moshe received his Ph.D. in decision sciences from the Wharton School, focusing on heuristic algorithms for solving discrete optimization models. He has published 20 peer-reviewed journal articles in management science professional journals and co-authored two textbooks on project management. He has presented talks and seminars at numerous professional conferences and universities. While at Medco, he led a cross-functional team in capturing a semi-finalist in the Edelman competition, recognizing excellence in the practice of management science. Moshe also serves as an adjunct professor at Columbia University, teaching a course in project management in Columbia\u2019s School of Engineering. <\/p>\n<p>Professional<\/p>\n<h6>Track: Machine Learning<\/h6>\n<h2>Integration of Marketing Mix Modeling and Portfolio Optimization in Promotion Resource Allocation<\/h2> <p>Allocation of scarce promotion resources among competing brands in a portfolio is a key strategic planning decision in pharmaceutical marketing. Typical business questions include: (i) How effective were specific promotion tactics in the past as measured by return-on-investment (ROI)? (ii) Can the promotion budget for particular tactics for specific brands be modified going forward in order to efficiently increase revenue? Marketing mix (MMx) - a series of statistical, regression models - estimates the level of return associated with each level of promotion spend. The model generates response curves, for each tactic and brand across the portfolio. The response curves are the inputs into a non-linear programming (NLP) model that solves the portfolio optimization business problem. At Bayer Healthcare, we integrated MMx statistical models with an NLP optimization model. Our solution approach identified opportunities to both grow top-line revenue and profitability by optimally investing in various promotion tactics.<\/p>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/2033","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/users\/1001094"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/comments?post=2033"}],"version-history":[{"count":8,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/2033\/revisions"}],"predecessor-version":[{"id":2208,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/2033\/revisions\/2208"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/pages\/256"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/media\/10"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2022\/wp-json\/wp\/v2\/media?parent=2033"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}