Model the world using regression analysis to analyse

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‘Model the World’: using regression analysis to analyse the relationship between a dependent variable and one or multiple independent variables. Using these models, we understand the relationships between numbers. 回归分析来分析因变量与一个或多个 独立变量之间的关系。 ‘How the World Works’: using resource capacity and activity- based analysis, the Delphi method, experiential insight, scenario analysis and planning scenarios. 9. Big Data DEFINITION: is the collection of a large data set that cannot be analysed by using traditional computing technologies.
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The size and format of the data is breaking traditional relational database management systems as the data cannot easily be organised into the required neat rows and columns needed. 数据无法轻松组织到所需 的整齐行和列中 By the end of this year, there will likely be 4.8 zettabytes of Internet traffic a year. 10. Volume, Velocity and Variety——three “Vs of the big data” Volume 数量 : it means that vast quantities of data are being recorded. Velocity 速度 : The rate at which the data flows into organisations is increasing beyond the capacity of their IT systems to store and process. Variety 多样性 : it means the various types of data today, for example, Photographs, video, audio, 3D models, simulations and location data. Traditional data: Documents, financial transactions, stock records, personnel files. 11. The challenge of big data Quantities of unstructured and semi-structured data from Internet and networked services and applications are massive. Big datasets provide more patterns and insights than smaller datasets 大数据集 The analysis of big data requires new technologies and tools Companies that have large amounts of information stored in different systems should begin a big data analytics project by considering the interrelatedness of data and the amount of development work that will be needed to link various data sources. 数据的相关性以及链接各种数据源所需的开发工作量 12. Big data explosion 大数据爆炸 E-Commerce and retail loyalty card schemes are building vast databases of customer activity. 电子商务和零售会员卡计划正在建立庞大的客 户活动数据库。 Logistics, financial services, healthcare are capturing more and more data. Social media generates vast amounts of digital materials. Cameras everywhere are recording = Internet of Things Scientific Advancement: DNA, nanotech, synthetic biology, climate simulation 科学进步: DNA ,纳米技术,合成生物学,气 13. Data exhaust 数据 耗尽 Organisations are not able to handle the huge amounts of data Data is ignored or removed.
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