A review of data science in business and industry and a future view

Vicario Grazia; Coleman Shirley

摘要

Abstract > The aim of this paper is to frame Data Science, a fashion and emerging topic nowadays in the context of business and industry. We open with a discussion about the origin of Data Science and its requirement for a challenging mix of capability in data analytics, information technology, and business know‐how. The mission of Data Science is to provide new or revised computational theory able to extract useful information from the massive volumes of data collected at an accelerating pace. In fact, besides the traditional measurements, digital data obtained from images, text, audio, sensors, etc complement the survey. Then, we review the different and most popular methodologies among the practitioners of Data Science research and applications. In addition, because the emerging field requires personnel with new competences, we attempt to describe the Data Scientist profile, one of the <fi>sexiest jobs of the 21st Century</fi> according to Davenport and Patil. Most people are aware of the need to embrace Data Science, but they feel intimidated that they do not understand it and they worry that their jobs will disappear. We want to encourage them: Data Science is more likely to add value to jobs and enrich the lives of working people by helping them make better, more informed business decisions. We conclude this paper by presenting examples of Data Science in action in business and industry, to demonstrate the collection of specialist skills that must come together for this new science to be effective. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract Type =“Main”XML：Lang =“en”> <标题类型=“main”>抽象</ title> > 本文的目的是在商业和行业的背景下绘制数据科学，现在的时尚和新兴主题。我们讨论了数据科学起源及其对数据分析，信息技术和商业知识的具体化能力的要求。数据科学的使命是提供新的或修订的计算理论，能够从加速速度收集的大量数据中提取有用信息。实际上，除了传统的测量，从图像，文本，音频，传感器等获得的数字数据补充了调查。然后，我们审查了数据科学研究和应用的从业者中的不同和最流行的方法。此外，由于新兴领域需要具有新竞争力的人员，我们试图描述数据科学家的形象，其中之一 <fi> 21世纪最性感的工作</ fi> 根据达文波特和帕特。大多数人都意识到需要拥抱数据科学，但他们觉得他们不明白，他们不明白，他们担心他们的工作将消失。我们想鼓励他们：数据科学更有可能为乔布斯增加价值，并通过帮助他们提高更好的商业决策来丰富劳动人民的生活。我们通过在商业和行业的行动中提出数据科学的例子来结束本文，以展示必须融入这种新科学的专业技能的集合。 </ p> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-19344/'>《Applied stochastic models in business and industry》</a> <b style="margin: 0 2px;">|</b><span>2020年第1期</span><b style="margin: 0 2px;">|</b><span>共13页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Vicario Grazia&option=202" target="_blank" rel="nofollow">Vicario Grazia;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Coleman Shirley&option=202" target="_blank" rel="nofollow">Coleman Shirley;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Department of Mathematical SciencesPolitecnico di TorinoTorino Italy;</p> <p>School of Mathematics Statistics and PhysicsNewcastle UniversityNewcastle upon Tyne UK;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/1147.html" title="应用数学">应用数学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=business improvement&option=203" rel="nofollow">business improvement;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Data Scientist profile&option=203" rel="nofollow">Data Scientist profile;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Industry 4.0&option=203" rel="nofollow">Industry 4.0;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=knowledge discovery&option=203" rel="nofollow">knowledge discovery;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=SME&option=203" rel="nofollow">SME;</a> </p> <div class="translation"> 机译：业务改进;数据科学家简介;行业4.0;知识发现;中小企业; </div> </li> </ul> </div> </div> <div class="literature cardcommon" id="literaturereference" style="display:none"> <div class="similarity "> <h3 class="all_title" id="enpatent111">引文网络</h3> <div class="referencetab clearfix"> <ul id="referencedaohang"> <li dataid="referenceul">参考文献</li> <li dataid="citationul">引证文献</li> <li dataid="commonreferenceul">共引文献</li> <li dataid="commoncitationul">同被引文献</li> <li dataid="tworeferenceul">二级参考文献</li> <li dataid="twocitationul">二级引证文献</li> </ul> </div> <div class="reference_details" id="referenceList"> <ul id="referenceul"></ul> <ul id="citationul"></ul> <ul id="commonreferenceul"></ul> <ul id="commoncitationul"></ul> <ul id="tworeferenceul"></ul> <ul id="twocitationul"></ul> </div> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704022680076.html">Discussion of “A review of data science in business and industry and a future view,” by Grazia Vicario and Shirley Coleman</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Secchi Piercesare&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Secchi Piercesare </a> <a href="/journal-foreign-19344/" target="_blank" rel="nofollow" class="tuijian_authcolor">Applied stochastic models in business and industry .</a> <span>2020</span><span>,第1期</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：讨论Grazia Vicario和Shirley Coleman的“商业与工业中数据科学与未来观点的审查”</span> </p> </li> <li> <div> <b>2. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704022680316.html">A review of data science in business and industry and a future view by G. 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Having the ability to set a specific radius within apps and websites to ensure reviews of businesses, products, services, locations and individuals can be conducted only by controlled proximity to the business fixed address or location. example: review of a restaurant can only be done if the reviewer using the website and or mobile app is within 500meters of the restaurant location. this will eliminate non accurate reviews.</a> <b>[P]</b> . <span> 外国专利：  AU2019100994A4 </span> <span> . 2019-10-17</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：使用基于位置的功能（Google Maps API）的主要用途，网站和移动应用程序。能够在应用程序和网站中设置特定半径以确保对业务，产品，服务，位置和个人的评论只能通过受控接近业务固定地址或位置来进行。例如：只有在使用网站和/或移动应用程序的评论者在餐厅位置500米以内的情况下，才可以对餐厅进行评论。这将消除不准确的评论。 </span> </p> </li> <li> <div> <b>4. </b><a class="enjiyixqcontent" href="/patent-detail/06130407619804.html">Preview data generation apparatus, preview image display apparatus, image forming apparatus, preview image display system, preview data generation method, and preview data generation program</a> <b>[P]</b> . <span> 外国专利：  JP6295752B2 </span> <span> . 2018-03-20</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译：预览数据生成设备，预览图像显示设备，图像形成设备，预览图像显示系统，预览数据生成方法和预览数据生成程序 </span> </p> </li> <li> <div> <b>5. </b><a class="enjiyixqcontent" href="/patent-detail/06130416207528.html">PREVIEW DATA GENERATION DEVICE, PREVIEW IMAGE DISPLAY DEVICE, IMAGE FORMING APPARATUS, PREVIEW IMAGE DISPLAY SYSTEM, PREVIEW DATA GENERATION METHOD, AND PREVIEW DATA GENERATION PROGRAM</a> <b>[P]</b> . <span> 外国专利：  JP2015179308A </span> <span> . 2015-10-08</span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> 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