{"title":"Hoong Chuin Lau","description":"\u003cp\u003eHoong Chuin Lau offers insightful works that delve into the practical applications of business analytics and decision making. Readers can expect clear explanations of complex concepts, designed to enhance understanding and support effective strategy development in the business world.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eBusiness \u0026amp; Entrepreneurship\u003c\/em\u003e enthusiasts will find Lau’s approach both accessible and grounded in real-world scenarios, making these books valuable resources for students, professionals, and anyone interested in data-driven decision processes.\u003c\/p\u003e","products":[{"product_id":"business-analytics-for-decision-making-by-steven-orla-kimbrough-9781482221763","title":"Business Analytics for Decision Making","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eBusiness Analytics for Decision Making\u003c\/em\u003e, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimisation. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making.\u003c\/p\u003e\n\n\u003cp\u003eBusiness analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasising the use of constrained optimisation models for decision making, the book concentrates on post-solution analysis of models.\u003c\/p\u003e\n\n\u003cp\u003eThe text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasises using heuristics for solving difficult optimisation problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods.\u003c\/p\u003e\n\n\u003cp\u003eThe authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasise analytics and de-emphasise representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Default Title","offer_id":47605169225964,"sku":"9781482221763","price":235.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781482221763-business-analytics-for-decision-making.jpg?v=1778125733"}],"url":"https:\/\/bookhero.co.nz\/collections\/hoong-chuin-lau.oembed","provider":"Book Hero","version":"1.0","type":"link"}