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ACCA PM大数据特点：Value
文章来源：ACCA官网
发布时间：2021-08-17 15:58
阅读：1182次
Value
The last V of big data(although some models have added more)is Value.There is little point in going to the effort and expense of gathering and analysing the data if this does not ultimately result in adding value to the company.It is important for companies to consider the potential of big data analytics and the value it could create if gathered,analysed and used wisely.
An example of how data analysis was used by British supermarket group Tesco to add value:
Tesco has operations in several countries around the world.In Ireland,the company developed a system to analyse the temperature of its in-store refrigerators.Sensors were placed in the fridges that measured the temperature every three seconds and sent the information over the internet to a central data warehouse.Analysis of this data allowed the company to identify units that were operating at incorrect temperatures.The company discovered that a number of fridges were operating at temperatures below the-21◦C to-23◦C recommended.This was clearly costing the company in terms of wasted energy.Having this information allowed the company to correct the temperature of the fridges.Given that the company was spending€10 million per year on fridge cooling costs in Ireland,an expected 20%reduction in these costs was a significant saving.
The system also allowed the engineers to monitor the performance of the fridges remotely.When they identified that a particular unit was malfunctioning,they could analyse the problem then visit the store with the right parts and replace them.Previously the fridges would only be fixed when a problem had been discovered by the store manager,which would usually be when the problem had developed into something more major.The engineers would have to visit the store,identify the problem,and then make a second visit to the store with the required parts.
翻译参考
大数据的最后一个V（虽然有些模型增加了更多）是Value。如果收集和分析数据最终不能为公司带来价值，那么花费精力和费用来收集和分析数据就毫无意义。对于公司来说，重要的是要考虑大数据分析的潜力以及如果明智地收集、分析和使用它可以创造的价值。
英国超市集团乐购如何使用数据分析来增加价值的一个例子：
乐购在全球多个国家/地区开展业务。在爱尔兰，该公司开发了一个系统来分析其店内冰箱的温度。传感器被放置在冰箱中，每三秒测量一次温度，并通过互联网将信息发送到中央数据仓库。对这些数据的分析使该公司能够识别在不正确温度下运行的设备。该公司发现许多冰箱的运行温度低于推荐的-21°C至-23°C。就能源浪费而言，这显然使公司付出了代价。有了这些信息，公司就可以纠正冰箱的温度。鉴于该公司每年在爱尔兰的冰箱冷却成本上花费1000万欧元，预计这些成本降低20%是一项重大节省。
该系统还允许工程师远程监控冰箱的性能。当他们发现某个特定设备出现故障时，他们可以分析问题，然后带着正确的零件前往商店并更换它们。以前，冰箱只有在商店经理发现问题时才会修理，这通常是在问题发展成更严重的问题时。工程师必须访问商店，找出问题，然后带着所需的零件再次访问商店。
以上翻译仅供参考，请以ACCA官网内容为准！
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