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A Predictive Analytics on Structural Design and Construction Engineering (SDCE) to Enhance the Global Quality using Big Data

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Document pages: 9 pages

Abstract: Today’s status of Civilology served as a benchmark on Structural Design and Construction Engineering (SDCE) to create a sustainable world and enhance the global quality of life using current trends of Big Data techniques. Civilology serve competently, collaboratively, and ethically as master in planners, designers, constructors, and operators of society’s economic and social engine - the built environment; stewards of the natural environment and its resources; innovators and integrators of ideas and technology across the public, private, and academic sectors; managers of risk and uncertainty caused by natural events, accidents, and other threats; and in this paper we include the discussions and decisions to shaping public environmental and infrastructure policy. A Predictive analytics is about to make risk management much easier. The difference between a successful construction company and a struggling construction company lies in their ability to manage risk. In this paper the proposed method provides beta tests with leading edge companies to manage their risk through the use of predictive analytics. We analyze data from subcontractors, materials suppliers, design plans, and the site itself to analyze risk factors based on historical data. It provides a dashboard where GCs (General contractors) can identify which elements of their project are highest risk and need attention, and allows them to drill down to see the reasons for the risk assessment. Project IQ (Integrity and Quality) learns both from past data and from how the GC interacts with the information it provides, in order to continuously provide better and more accurate risk assessments. Finally we presented on future of SDCE to enhance the global quality using innovation technology of Big Data Predictive Analytics (BDPA).

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