{"id":1736,"date":"2023-02-01T16:32:16","date_gmt":"2023-02-01T16:32:16","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/matthias-mozer-copy\/"},"modified":"2023-02-21T15:06:42","modified_gmt":"2023-02-21T15:06:42","slug":"max-hill","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2023\/speakers\/max-hill\/","title":{"rendered":"Max Hill"},"content":{"rendered":"\n
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Max Hill<\/span><\/h1>\n

Data Scientist at Intel<\/span><\/h1>\n
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Max is a data scientist in Intel’s Corporate Strategy Office with previous experience in B2B pricing strategy, as a physicist, and as a military officer. After completing a Ph.D. in Nuclear Engineering, he went into strategy consulting, specializing in the development of data-driven pricing and growth strategies for B2B industrial companies. At Intel, he\u2019s involved in various market intelligence efforts, as well as in building the next generation of Intel\u2019s strategic analytics capabilities.<\/div>\n<\/div>\n<\/div> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n
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Track: Marketing<\/h6> <\/div>\n<\/div>\n\n
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Modeling Markets as They Are: How to Build Market Intelligence Data Models that Drive Impact<\/h2>\n

Data scientists have the responsibility not only to engage with upstream data sources but also to shape them to meet the organization\u2019s needs. This talk will discuss the practical aspects of building a data model for market intelligence (MI) research. We will also share lessons learned from recent MI data modeling efforts within Intel\u2019s Corporate Strategy Office. The development of actionable business strategies requires segmenting customers and products. Sound segmentation patterns account for multidimensionality and accommodate analysis at multiple levels of granularity. Building a data model that adequately reflects both realities can be challenging, and the use of spreadsheet software quickly becomes impractical. Modern MI calls for purpose-built data models that allow analysts to think about markets the way they actually are. This material covers three topics: 1) Modeling taxonomies, 2) capturing data, and 3) using the data model to drive impact.<\/p> <\/div>\n<\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"

Matt Hill Max Hill Data Scientist at Intel Max is a data scientist in Intel’s Corporate Strategy Office with previous experience in B2B pricing strategy, as a physicist, and as a military officer. After completing a Ph.D. in Nuclear Engineering, he went into strategy consulting, specializing in the development of data-driven pricing and growth strategies […]<\/p>\n","protected":false},"author":1001094,"featured_media":1713,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-1736","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":"\nMax Hill - 2023 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\/analytics2023\/speakers\/max-hill\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Max Hill\" \/>\n<meta property=\"og:description\" content=\"Matt Hill Max Hill Data Scientist at Intel Max is a data scientist in Intel’s Corporate Strategy Office with previous experience in B2B pricing strategy, as a physicist, and as a military officer. 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After completing a Ph.D. in Nuclear Engineering, he went into strategy consulting, specializing in the development of data-driven pricing and growth strategies for B2B industrial companies. At Intel, he\u2019s involved in various market intelligence efforts, as well as in building the next generation of Intel\u2019s strategic analytics capabilities.\n<h6>Track: Marketing<\/h6>\n<h2>Modeling Markets as They Are: How to Build Market Intelligence Data Models that Drive Impact<\/h2> <p>Data scientists have the responsibility not only to engage with upstream data sources but also to shape them to meet the organization\u2019s needs. This talk will discuss the practical aspects of building a data model for market intelligence (MI) research. We will also share lessons learned from recent MI data modeling efforts within Intel\u2019s Corporate Strategy Office. The development of actionable business strategies requires segmenting customers and products. 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