Big data can be defined as a term that is capable of indicating a huge amount of data. The data can be structured or unstructured or both. In an organisation the volume of the data (structured or unstructured) is not important but analysis of that data is important. Therefore the analysis of big data is very important (Yongho and Seungwoo, 2015). The big data analysis will help the organisation to have a clear idea about the present condition of the organisation including each and every activity that are being performed in the organisation and as a result of this proper strategies and decisions can be taken. With the help of big data an organisation can reduce the costs, reduce the time and also can develop new products. The bag data analysis can also detect fraudulent behaviours and it is done before the organisation is gets affected. The big data analysis can also determine the primary reasons behind the failures, defects and different problems is the organisation (Yongho and Seungwoo, 2015).
The construction industry is known as one of the most conservative industries. This industry has been facing difficulty in the collection of all the raw data and analysing them since many years. Now with the help of big data analysis these problems can be solved. The main problem in the construction industry i.e. the problem of proper acquisition of the raw data and its application can be solved with the help of big data analysis.
There are also several advantages that the construction industry can have by using the big data analysis. It helps to predict the pre – construction costs and associated risks (Yongho and Seungwoo, 2015). With the help of big data analysis all the employees of the industry can also be managed properly. The big data analysis also helps to enhance the business opportunities.
There are also some challenges that the construction industries have in order to analyse big data. The industry must use proper quality assessment procedures and proper standards in order to analyse such huge amount of data. As all types of data are included, therefore this diversity creates complexity in the structure of the data and as a result of this the data execution of data integration becomes difficult (Fojud, 2000). Advanced processing technologies are required as the data alters quickly i.e. the timeliness of these data is too short.
There are many applications of big data can be seen in the smart city. It is capable of providing smart grid, smart health care, smart transportation, and also smart governance (Ibrahim Abaker Targio et al., 2016). The application of big data can also be seen in the BIM. BIM has become more effective by the application of big data. The models of BIM can be analysed in a better way with the help of big data analysis. The management of all the tools and documents can be done more effectively by the application of big data.
If the application of the big data analysis can be seen then it can be seen that in United States, this analysis has already been started. A construction company known as Nick Savko & Sons which is located in United States is already using the big data analysis and has improved its efficiency, cycle time, idle time and also productivity (Datafloq.com, 2016).
From the above discussion it can be concluded that the application of the big data and its analysis is very important in any construction industry. This analysis of big data will provide a lot of benefits to the industry but the industry must contain suitable technologies and methods in order to control and analyse the big data. If the construction industry does not contain such facilities then it will face several difficulties in analysing big data.
Datafloq.com. (2016). Big Data Can Help Construction Companies Deliver Projects On Time. [online] Available at: https://datafloq.com/read/big-data-construction-companies-deliver-projects-t/143 [Accessed 14 Jul. 2016].
Fojud, A. (2000). Multidimensional Data Analysis In Construction Industry.Statyba, 6(6), pp.431-435.
Ibrahim Abaker Targio, H., Victor, C., Nor Badrul, A., Kayode, A., Ibrar, Y., Abdullah, G., , Ejaz, A. and Haruna, C. (2016). The role of big data in smart city. International Journal of Information Management.
Yongho, K. and Seungwoo, H. (2015). Big Data Analysis based Practical Applications in Construction.
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