以下文字节选自历年真题，划线部分为结合案例进行分析的部分，未划线部分为通用文字（需要熟练掌握），考试时结合案例进行具体分析。

Benefits of Big data analytics

Big data analytics can provide information about the amount of traffic and peaks and troughs in road usage. It can also provide information about the state of the roads. This includes where there are delays at any particular time, areas which may be seriously affected by bad weather, and the condition of the road surfaces and supporting features like drains and bridges.(结合案例情况，分析大数据可以提供什么样的信息)

Additional data about wear on the roads should help CC to be able to forecast where and when maintenance will be required, which will be particularly useful for long-term maintenance contracts. Data about areas particularly affected by bad weather will help CC plan what work it needs to do, for example, improving drainage. Data about volume of traffic at different times or

dates may help CC plan to carry out maintenance when roads are quieter.

Additional data about wear on the roads should help CC to be able to forecast where and when maintenance will be required, which will be particularly useful for long-term maintenance contracts. Data about areas particularly affected by bad weather will help CC plan what work it needs to do, for example, improving drainage. Data about volume of traffic at different times or

dates may help CC plan to carry out maintenance when roads are quieter.

Cost of Big data analytics

Costs will not only include set up and security costs, but also the costs of expertise to interpret the data. Any investment in big data capabilities will also need to be compatible with the current  initiative. CC must also consider whether data about particular roads is only useful in the context of work on those roads, or whether it can be used elsewhere in the business. CC also needs to determine whether a large investment in big data will only be justified if it can gain infrastructure management contracts, because at present the number of opportunities and CC’s chances of winning this type of contract are uncertain.