{"id":4441,"date":"2024-01-23T15:50:22","date_gmt":"2024-01-23T15:50:22","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/?page_id=4441"},"modified":"2024-02-09T15:30:36","modified_gmt":"2024-02-09T15:30:36","slug":"richard-rymer","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/richard-rymer\/","title":{"rendered":"Richard Rymer"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-4441\" data-postid=\"4441\" class=\"themify_builder_content themify_builder_content-4441 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_0l52602 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_0ygc603 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_esex603 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/01\/Richard_Rymer.jpg\" class=\"wp-post-image wp-image-4401\" title=\"Richard Rymer\" alt=\"Richard Rymer headshot\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/01\/Richard_Rymer.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/01\/Richard_Rymer-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Richard Rymer                            <\/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_g2w3604 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_t7c7604   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Richard Rymer<\/h1>\n<h5>Sr Manager, Business Operations at Arrow Electronics<\/h5>\n<p>In addition to the talk below, Richard Rymer will also be a panelist in <a href=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/the-analytics-ecosystem\/\" data-feathr-click-track=\"true\" data-feathr-link-aids=\"622fa93bb0ebf976bd76e19a\">Documentation, Git, and Project Management: Navigating Pain Points in Analytics<\/a>.<\/p>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_x6mj40 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion  glossy tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-x6mj40-0\" class=\"tb_title_accordion\" aria-controls=\"acc-x6mj40-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Bio<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-x6mj40-0-content\" data-id=\"acc-x6mj40-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                                    <div class=\"tb_text_wrap\">\n                        <p>Richard runs business analytics and data science for business operations at SiliconExpert Technologies, a division of Arrow Electronics. Richard has over ten years of experience leading analytics product development across a range of industries, including SaaS, e-commerce and manufacturing. He received his Ph.D. from UC Berkeley in 2012.<\/p>                    <\/div>\n                            <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"u6fe602\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_u6fe602 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_84q1605 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k572608 track  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: The Analytics Ecosystem<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_xwmz608   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Making Ends Meet: Aligning Compute, Storage and Delivery to Match Your Use Case<\/h2>\n<p>In the realm of increasing complexity and sophistication of analytics projects, their outcomes now often take the form of full-stack applications. Therefore, the choice of a suitable data infrastructure has become more crucial, yet analysts are often lacking in the software engineering know-how needed for sound architectural decisions.<\/p>\n<p>Rather than burdening analysts with dual roles, we can tap into a vast array of existing technologies that together address a wide range of business needs. Using the example of a hypothetical service load balancer for a globally scaled SaaS product, this discussion outlines a practical method for reverse-engineering a data infrastructure solution. The goal is to align the compute, storage, and delivery choices in the application stack with the business need.<\/p>\n<p>A key focus is on translating business needs into clear technical specifications. These specifications guide the identification of technologies and approaches that assemble into a viable solution. By outlining this approach, the presentation aims to provide insights into effectively connecting business objectives with technical implementation of data infrastructure solutions.<\/p>    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Richard Rymer Sr Manager, Business Operations at Arrow Electronics In addition to the talk below, Richard Rymer will also be a panelist in Documentation, Git, and Project Management: Navigating Pain Points in Analytics.<\/p>\n","protected":false},"author":1001140,"featured_media":0,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-4441","page","type-page","status-publish","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) - 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Richard has over ten years of experience leading analytics product development across a range of industries, including SaaS, e-commerce and manufacturing. He received his Ph.D. from UC Berkeley in 2012.<\/p><\/li><\/ul>\n<h6>Track: The Analytics Ecosystem<\/h6>\n<h2>Making Ends Meet: Aligning Compute, Storage and Delivery to Match Your Use Case<\/h2> <p>In the realm of increasing complexity and sophistication of analytics projects, their outcomes now often take the form of full-stack applications. Therefore, the choice of a suitable data infrastructure has become more crucial, yet analysts are often lacking in the software engineering know-how needed for sound architectural decisions.<\/p> <p>Rather than burdening analysts with dual roles, we can tap into a vast array of existing technologies that together address a wide range of business needs. Using the example of a hypothetical service load balancer for a globally scaled SaaS product, this discussion outlines a practical method for reverse-engineering a data infrastructure solution. The goal is to align the compute, storage, and delivery choices in the application stack with the business need.<\/p> <p>A key focus is on translating business needs into clear technical specifications. These specifications guide the identification of technologies and approaches that assemble into a viable solution. 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