请选择 进入手机版 | 继续访问电脑版
楼主: oliyiyi
767 1

Big Data Doesn’t Rule The Olympics [推广有奖]

版主

泰斗

0%

还不是VIP/贵宾

-

TA的文库  其他...

计量文库

威望
7
论坛币
272091 个
通用积分
31269.1753
学术水平
1435 点
热心指数
1554 点
信用等级
1345 点
经验
383778 点
帖子
9599
精华
66
在线时间
5466 小时
注册时间
2007-5-21
最后登录
2024-3-21

初级学术勋章 初级热心勋章 初级信用勋章 中级信用勋章 中级学术勋章 中级热心勋章 高级热心勋章 高级学术勋章 高级信用勋章 特级热心勋章 特级学术勋章 特级信用勋章

oliyiyi 发表于 2016-8-14 09:38:49 |显示全部楼层 |坛友微信交流群

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
By Matt Reaney, BigCloud.io.

When it comes to elite performance, data doesn’t always tell the whole story.

You might be a three-time world champion with a perfect record and all the stats to back up your superiority, but there is always that chance of something going wrong. The Team GB canoeist David Florence has exactly these attributes, but two basic errors in the final left him a long way behind the pace. He was one of GB’s biggest gold medal hopes, but he crashed and burned (or maybe that should be drowned). Likewise, in the men’s gymnastics team final, the most precise of sports, our world-class gymnast Louis Smith fell off during his pommel horse routine. Shock, horror, the historic data does not always predict the result.

This is the argument that the detractors of Big Data will use…. It is not a perfect science, and there are enough occasions when the result is entirely different. Why invest so much in the use of data when it can’t guarantee perfection?

Well, this is one of the big fallacies of the industry. Too many CEOs expect Big Data to offer every answer, but the moment that it gets something wrong, they start to doubt it entirely. They assume that because there is a huge amount of information being analysed that the chances of mistakes should be infinitesimally small.

In some cases that is true, but especially when there are human factors involved, Big Data has to be deployed with a healthy amount of caution. Its predictive powers may still get 95% of the results right, just as you can probably predict the vast majority of the medalists at the Rio Olympics, but what colour medal they win or who will miss out entirely seems to be one step too far.

Whenever there is a Big Data conversation with senior executives, expectations have to be set correctly, and it is at this junction between statistics and the real world that misconceptions often occur. Big Data isn’t perfect, but it is a lot better than the more superficial methods of making a judgment.

I suppose that the ultimate proponents of Big Data in sport are the bookmakers, and it is a perfect justification of my argument that they do “win” in the majority of cases. However, every now and again there is a sporting shock, and they lose an awful lot of money. If your business cannot afford to make this level of mistakes, it is worth understanding that Big Data will get you much of the way there, but it won’t unfailingly provide you with all of the answers all of the time.

As with many things in life, even with the seemingly most perfect things (like Louis Smith on the pommel horse), there is always a margin for error.

Big Data does not rule the Olympics, but it gets close enough.


二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:Olympics Big data olympic doesn Data something champion perfect exactly always

缺少币币的网友请访问有奖回帖集合
https://bbs.pinggu.org/thread-3990750-1-1.html
william9225 学生认证  发表于 2016-8-14 13:40:35 来自手机 |显示全部楼层 |坛友微信交流群
thanks

使用道具

您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加好友,备注jltj
拉您入交流群

京ICP备16021002-2号 京B2-20170662号 京公网安备 11010802022788号 论坛法律顾问:王进律师 知识产权保护声明   免责及隐私声明

GMT+8, 2024-3-29 05:00