大数据:管理革命。

IF 9.1 4区 管理学 Q1 BUSINESS
Harvard business review Pub Date : 2012-10-01
Andrew McAfee, Erik Brynjolfsson
{"title":"大数据:管理革命。","authors":"Andrew McAfee,&nbsp;Erik Brynjolfsson","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Big data, the authors write, is far more powerful than the analytics of the past. Executives can measure and therefore manage more precisely than ever before. They can make better predictions and smarter decisions. They can target more-effective interventions in areas that so far have been dominated by gut and intuition rather than by data and rigor. The differences between big data and analytics are a matter of volume, velocity, and variety: More data now cross the internet every second than were stored in the entire internet 20 years ago. Nearly real-time information makes it possible for a company to be much more agile than its competitors. And that information can come from social networks, images, sensors, the web, or other unstructured sources. The managerial challenges, however, are very real. Senior decision makers have to learn to ask the right questions and embrace evidence-based decision making. Organizations must hire scientists who can find patterns in very large data sets and translate them into useful business information. IT departments have to work hard to integrate all the relevant internal and external sources of data. The authors offer two success stories to illustrate how companies are using big data: PASSUR Aerospace enables airlines to match their actual and estimated arrival times. Sears Holdings directly analyzes its incoming store data to make promotions much more precise and faster.</p>","PeriodicalId":12874,"journal":{"name":"Harvard business review","volume":"90 10","pages":"60-6, 68, 128"},"PeriodicalIF":9.1000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Big data: the management revolution.\",\"authors\":\"Andrew McAfee,&nbsp;Erik Brynjolfsson\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Big data, the authors write, is far more powerful than the analytics of the past. Executives can measure and therefore manage more precisely than ever before. They can make better predictions and smarter decisions. They can target more-effective interventions in areas that so far have been dominated by gut and intuition rather than by data and rigor. The differences between big data and analytics are a matter of volume, velocity, and variety: More data now cross the internet every second than were stored in the entire internet 20 years ago. Nearly real-time information makes it possible for a company to be much more agile than its competitors. And that information can come from social networks, images, sensors, the web, or other unstructured sources. The managerial challenges, however, are very real. Senior decision makers have to learn to ask the right questions and embrace evidence-based decision making. Organizations must hire scientists who can find patterns in very large data sets and translate them into useful business information. IT departments have to work hard to integrate all the relevant internal and external sources of data. The authors offer two success stories to illustrate how companies are using big data: PASSUR Aerospace enables airlines to match their actual and estimated arrival times. Sears Holdings directly analyzes its incoming store data to make promotions much more precise and faster.</p>\",\"PeriodicalId\":12874,\"journal\":{\"name\":\"Harvard business review\",\"volume\":\"90 10\",\"pages\":\"60-6, 68, 128\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Harvard business review\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Harvard business review","FirstCategoryId":"91","ListUrlMain":"","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

两位作者写道,大数据比过去的分析工具强大得多。高管们可以比以往任何时候都更精确地进行衡量和管理。他们可以做出更好的预测和更明智的决定。他们可以针对迄今为止由直觉和直觉而不是数据和严谨主导的领域进行更有效的干预。大数据和分析之间的区别在于数据量、速度和种类:现在每秒钟通过互联网的数据比20年前整个互联网存储的数据还要多。近乎实时的信息使公司有可能比竞争对手敏捷得多。这些信息可以来自社交网络、图像、传感器、网络或其他非结构化来源。然而,管理方面的挑战是非常现实的。高级决策者必须学会提出正确的问题,并接受基于证据的决策。组织必须雇用能够在非常大的数据集中发现模式并将其转化为有用的业务信息的科学家。IT部门必须努力整合所有相关的内部和外部数据源。作者提供了两个成功的案例来说明公司是如何使用大数据的:PASSUR Aerospace使航空公司能够匹配他们的实际和预计到达时间;西尔斯控股公司直接分析其收到的商店数据,使促销更加准确和快速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data: the management revolution.

Big data, the authors write, is far more powerful than the analytics of the past. Executives can measure and therefore manage more precisely than ever before. They can make better predictions and smarter decisions. They can target more-effective interventions in areas that so far have been dominated by gut and intuition rather than by data and rigor. The differences between big data and analytics are a matter of volume, velocity, and variety: More data now cross the internet every second than were stored in the entire internet 20 years ago. Nearly real-time information makes it possible for a company to be much more agile than its competitors. And that information can come from social networks, images, sensors, the web, or other unstructured sources. The managerial challenges, however, are very real. Senior decision makers have to learn to ask the right questions and embrace evidence-based decision making. Organizations must hire scientists who can find patterns in very large data sets and translate them into useful business information. IT departments have to work hard to integrate all the relevant internal and external sources of data. The authors offer two success stories to illustrate how companies are using big data: PASSUR Aerospace enables airlines to match their actual and estimated arrival times. Sears Holdings directly analyzes its incoming store data to make promotions much more precise and faster.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.40
自引率
0.00%
发文量
1
期刊介绍: HBR covers a wide range of topics, including strategy, leadership, organizational change, negotiations, operations, innovation, decision making, marketing, finance, work-life balance, and managing teams. We publish articles of many lengths (some in both print and digital forms, and some in digital only), graphics, podcasts, videos, slide presentations, and just about any other media that might help us share an idea effectively.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信