生活在数据驱动的世界

Q2 Economics, Econometrics and Finance
Luke Tredinnick, Claire Laybats
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There are many challenges in gaining real benefits from data analysis from traversing privacy laws to licensing and combining the right sets of data to careful interpretation of results in the correct context. Time and again when I speak to information professionals, I hear about the battle to understand and interpret internal data before even considering the complexities of what external data is available and how to license it for specific use to gain benefit for their organisation. This was further backed up as a key theme that came through in our survey this year. On further reading it is also a key theme in McKinsey Insights with several articles dedicated to getting more strategic with the information an organisation holds to operate more effectively. What are we doing to make the most of data? The pandemic has seen an unprecedented collaborative effort to use data to find solutions to the public health crisis, controlling the spread and developing vaccines to ultimately manage if not eradicate the virus. In an interview between McKinsey’s Hemant Ahlawat and Mitch Cuddihy, Dame Sally Davies, England’s former Chief Medical Officer, discusses the challenges and achievements utilising data sets brought those working to combat the pandemic (https://www.mckin sey.com/industries/public-and-social-sector/our-insights/ preventing-global-health-crises-an-interview-with-damesally-davies?cid1⁄4other-eml-dre-mip-mck&hlkid1⁄46227 aae6cbfb4a4588a137268c185724&hctky1⁄412489918& hdpid1⁄45ef2c874-47fa-4ec4-b3aa-844f2295218e). In this article Dame Sally talks about how the pandemic has made them see the need to use data differently in order to get the right insights to the right people at the right time. She reflects on the difficulties of effectively combining different types of siloed data to track disease transmission quoting a successful example of how the Spanish statistics office worked with national telecom companies and within strict data privacy laws to help decision makers see how the population was sticking to lockdown measures. She goes on to talk about the Trinity Challenge and how this is focussed on working out how we can better and more efficiently use data and technology to anticipate and manage health crises of the future. Can we realise benefits from big data yet? It seems we are getting there slowly. While stories appear occasionally in the press like how Manchester City player, Kevin DeBruyne used data analytics in his favour as he used data analysis to broker his latest contract with the football club to the tune of £83.2 million (https://www.mirror.co.uk/ sport/football/news/kevin-de-bruyne-uses-data-23870686? utm_source1⁄4sharebar&utm_medium1⁄4email&utm_cam paign1⁄4sharebar), we tend to hear more about the concerns and challenges around privacy. Another article from McKinsey Insights delves into this area further in an interview with several industry leaders in AI and machine learning usage. Five insights about harnessing data and AI from leaders in the frontier provides an interesting overview of how organisations are starting to gain a foothold and develop their analysis of the data they hold to their competitive advantage. The five insights cover: advantages of new forms of data, the organisations popping up who are refining and connecting data sets, the tools that are now available to help organisations move forward with realising benefits from data, the importance of domain experts when developing analyses and algorithms to gain insights and privacy safeguards and ethics. I found the insight around the importance of domain experts particularly important. It backs up the need for a detailed understanding of a problem to design the right solution within the context an organisation is operating in. Too often ‘fake’ headlines are produced when information gathered is taken out of the context it was gathered within and applied in a totally different way. Algorithms have run muck creating problems rather than solutions for organisations because experts were not there to make sense and interpret the data in context. There is a long way to go with what we can do with data but we are making inroads and starting to realise some real benefits.","PeriodicalId":39735,"journal":{"name":"Business Information Review","volume":"38 1","pages":"58 - 59"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/02663821211021728","citationCount":"1","resultStr":"{\"title\":\"Living in a data driven world\",\"authors\":\"Luke Tredinnick, Claire Laybats\",\"doi\":\"10.1177/02663821211021728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the last 12 months we have seen a leap forward in the use of technology (most of it already available to us) to provide a more connected and safe working environment. This greater engagement with technology has led to exploration of what we can use it for to make a better world not only for tomorrow but for the here and now. 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Time and again when I speak to information professionals, I hear about the battle to understand and interpret internal data before even considering the complexities of what external data is available and how to license it for specific use to gain benefit for their organisation. This was further backed up as a key theme that came through in our survey this year. On further reading it is also a key theme in McKinsey Insights with several articles dedicated to getting more strategic with the information an organisation holds to operate more effectively. What are we doing to make the most of data? The pandemic has seen an unprecedented collaborative effort to use data to find solutions to the public health crisis, controlling the spread and developing vaccines to ultimately manage if not eradicate the virus. In an interview between McKinsey’s Hemant Ahlawat and Mitch Cuddihy, Dame Sally Davies, England’s former Chief Medical Officer, discusses the challenges and achievements utilising data sets brought those working to combat the pandemic (https://www.mckin sey.com/industries/public-and-social-sector/our-insights/ preventing-global-health-crises-an-interview-with-damesally-davies?cid1⁄4other-eml-dre-mip-mck&hlkid1⁄46227 aae6cbfb4a4588a137268c185724&hctky1⁄412489918& hdpid1⁄45ef2c874-47fa-4ec4-b3aa-844f2295218e). In this article Dame Sally talks about how the pandemic has made them see the need to use data differently in order to get the right insights to the right people at the right time. She reflects on the difficulties of effectively combining different types of siloed data to track disease transmission quoting a successful example of how the Spanish statistics office worked with national telecom companies and within strict data privacy laws to help decision makers see how the population was sticking to lockdown measures. She goes on to talk about the Trinity Challenge and how this is focussed on working out how we can better and more efficiently use data and technology to anticipate and manage health crises of the future. Can we realise benefits from big data yet? It seems we are getting there slowly. While stories appear occasionally in the press like how Manchester City player, Kevin DeBruyne used data analytics in his favour as he used data analysis to broker his latest contract with the football club to the tune of £83.2 million (https://www.mirror.co.uk/ sport/football/news/kevin-de-bruyne-uses-data-23870686? utm_source1⁄4sharebar&utm_medium1⁄4email&utm_cam paign1⁄4sharebar), we tend to hear more about the concerns and challenges around privacy. Another article from McKinsey Insights delves into this area further in an interview with several industry leaders in AI and machine learning usage. Five insights about harnessing data and AI from leaders in the frontier provides an interesting overview of how organisations are starting to gain a foothold and develop their analysis of the data they hold to their competitive advantage. 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引用次数: 1

摘要

在过去的12个月里,我们看到了技术的使用(其中大部分已经提供给我们)的飞跃,以提供一个更加互联和安全的工作环境。这种对技术的更多参与促使我们探索如何利用它来创造一个更美好的世界,不仅是为了明天,也是为了此时此地。在本期中,我们有几篇文章聚焦于数字化转型、数据的使用和新技术,因此我认为简要介绍一下数据、我们如何使用数据、开发使用数据,以及我们何时可以从大型数据集的分析中为我们的环境的未来带来真正的好处,会很有意思。《剑桥英语词典》将数据描述为“收集的信息,尤其是事实或数字,用于检查和考虑,并用于帮助做出决策”。在从数据分析中获得真正的好处方面存在许多挑战,从遍历隐私法到许可,从组合正确的数据集到在正确的背景下仔细解释结果。当我一次又一次地与信息专业人士交谈时,我听说在考虑哪些外部数据可用的复杂性以及如何将其许可用于特定用途以为组织获取利益之前,就需要了解和解释内部数据。这进一步成为我们今年调查的一个关键主题。在进一步阅读时,这也是麦肯锡洞察的一个关键主题,其中几篇文章致力于利用组织所掌握的信息提高战略地位,以更有效地运作。我们在做什么来充分利用数据?在这场疫情中,人们进行了前所未有的合作,利用数据寻找公共卫生危机的解决方案,控制传播,开发疫苗,即使不能根除病毒,也能最终控制病毒。在麦肯锡的Hemant Ahlawat和Mitch Cuddihy的采访中,英格兰前首席医疗官Sally Davies女士讨论了利用数据集为抗击疫情带来的挑战和成就(https://www.mckinsey.com/industries/public-and-social-sector/our-insights/预防全球健康危机对达梅萨利·戴维斯的采访?cid1⁄4其他eml dre-mip mck和hlkid1⁄46227 aae6cbfb4a4588a137268c185724和hctky1⁄412489918和hdpid1⁄45ef2c874-47fa-4ec4-b3aa-844f2295218e)。在这篇文章中,萨莉夫人谈到了疫情如何让他们意识到有必要以不同的方式使用数据,以便在正确的时间向正确的人提供正确的见解。她引用了一个成功的例子,说明西班牙统计局如何与国家电信公司合作,并在严格的数据隐私法范围内,帮助决策者了解民众是如何坚持封锁措施的。她接着谈到了三一挑战,以及它是如何专注于研究我们如何更好、更有效地利用数据和技术来预测和管理未来的健康危机的。我们能实现大数据带来的好处吗?我们似乎进展缓慢。虽然媒体上偶尔会出现一些故事,比如曼城球员凯文·德布鲁因(Kevin DeBruyne)如何利用数据分析来促成他与这家足球俱乐部的最新合同,合同金额为8320万英镑(https://www.mirror.co.uk/体育/足球/新闻/kevin-de-bruyne-uses-data23870686?utm_source1⁄4sharebar&utm_mediay1⁄4email&utm_cam paign1⁄4sharebar),我们往往会听到更多关于隐私的担忧和挑战。McKinsey Insights的另一篇文章在采访人工智能和机器学习应用领域的几位行业领袖时进一步探讨了这一领域。前沿领导者关于利用数据和人工智能的五个见解提供了一个有趣的概述,说明组织如何开始站稳脚跟,并发展对其所掌握的数据的分析,以获得竞争优势。这五个见解涵盖:新形式数据的优势,正在完善和连接数据集的组织,现在可以帮助组织实现数据利益的工具,领域专家在开发分析和算法以获得见解、隐私保护和道德时的重要性。我发现领域专家的重要性特别重要。它支持了对问题进行详细了解的必要性,以便在组织运作的背景下设计正确的解决方案。当收集到的信息脱离其收集的背景并以完全不同的方式应用时,往往会产生“假”标题。算法给组织带来了麻烦,而不是解决方案,因为专家们没有在那里理解和解释上下文中的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Living in a data driven world
In the last 12 months we have seen a leap forward in the use of technology (most of it already available to us) to provide a more connected and safe working environment. This greater engagement with technology has led to exploration of what we can use it for to make a better world not only for tomorrow but for the here and now. In this issue we have several articles focusing on digital transformation, use of data and new technology and so I thought it would be interesting to take a brief look at data, how we are using it, developing using it and when perhaps we can realise real benefit from the analysis of large data sets for the future of our environment. Data is described by the Cambridge English Dictionary as ‘information, especially facts or numbers, collected to be examined and considered and used to help with making decisions’. There are many challenges in gaining real benefits from data analysis from traversing privacy laws to licensing and combining the right sets of data to careful interpretation of results in the correct context. Time and again when I speak to information professionals, I hear about the battle to understand and interpret internal data before even considering the complexities of what external data is available and how to license it for specific use to gain benefit for their organisation. This was further backed up as a key theme that came through in our survey this year. On further reading it is also a key theme in McKinsey Insights with several articles dedicated to getting more strategic with the information an organisation holds to operate more effectively. What are we doing to make the most of data? The pandemic has seen an unprecedented collaborative effort to use data to find solutions to the public health crisis, controlling the spread and developing vaccines to ultimately manage if not eradicate the virus. In an interview between McKinsey’s Hemant Ahlawat and Mitch Cuddihy, Dame Sally Davies, England’s former Chief Medical Officer, discusses the challenges and achievements utilising data sets brought those working to combat the pandemic (https://www.mckin sey.com/industries/public-and-social-sector/our-insights/ preventing-global-health-crises-an-interview-with-damesally-davies?cid1⁄4other-eml-dre-mip-mck&hlkid1⁄46227 aae6cbfb4a4588a137268c185724&hctky1⁄412489918& hdpid1⁄45ef2c874-47fa-4ec4-b3aa-844f2295218e). In this article Dame Sally talks about how the pandemic has made them see the need to use data differently in order to get the right insights to the right people at the right time. She reflects on the difficulties of effectively combining different types of siloed data to track disease transmission quoting a successful example of how the Spanish statistics office worked with national telecom companies and within strict data privacy laws to help decision makers see how the population was sticking to lockdown measures. She goes on to talk about the Trinity Challenge and how this is focussed on working out how we can better and more efficiently use data and technology to anticipate and manage health crises of the future. Can we realise benefits from big data yet? It seems we are getting there slowly. While stories appear occasionally in the press like how Manchester City player, Kevin DeBruyne used data analytics in his favour as he used data analysis to broker his latest contract with the football club to the tune of £83.2 million (https://www.mirror.co.uk/ sport/football/news/kevin-de-bruyne-uses-data-23870686? utm_source1⁄4sharebar&utm_medium1⁄4email&utm_cam paign1⁄4sharebar), we tend to hear more about the concerns and challenges around privacy. Another article from McKinsey Insights delves into this area further in an interview with several industry leaders in AI and machine learning usage. Five insights about harnessing data and AI from leaders in the frontier provides an interesting overview of how organisations are starting to gain a foothold and develop their analysis of the data they hold to their competitive advantage. The five insights cover: advantages of new forms of data, the organisations popping up who are refining and connecting data sets, the tools that are now available to help organisations move forward with realising benefits from data, the importance of domain experts when developing analyses and algorithms to gain insights and privacy safeguards and ethics. I found the insight around the importance of domain experts particularly important. It backs up the need for a detailed understanding of a problem to design the right solution within the context an organisation is operating in. Too often ‘fake’ headlines are produced when information gathered is taken out of the context it was gathered within and applied in a totally different way. Algorithms have run muck creating problems rather than solutions for organisations because experts were not there to make sense and interpret the data in context. There is a long way to go with what we can do with data but we are making inroads and starting to realise some real benefits.
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来源期刊
Business Information Review
Business Information Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
2.50
自引率
0.00%
发文量
22
期刊介绍: Business Information Review (BIR) is concerned with information and knowledge management within organisations. To be successful organisations need to gain maximum value from exploiting relevant information and knowledge. BIR deals with information strategies and operational good practice across the range of activities required to deliver this information dividend. The journal aims to highlight developments in the economic, social and technological landscapes that will impact the way organisations operate. BIR also provides insights into the factors that contribute to individual professional success.
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