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The Sund & Baelt Case Study: Business Analytics
Introduction
The construction company sector undergoes significant challenges annually due to natural or infrastructure causes. Over 46,000 American bridges are architecturally inadequate and in unacceptable condition, as has been emphasized by the IBM case study (Bertrand, n.d.). The case study that will be reviewed is the Sund & Baelt case study from the bridge construction industry. In its case, Sund & Baelt applied prescriptive analytics.
Discussion
The business was aware that the labor-intensive manual procedure used to carry out routine maintenance checks was among its biggest problems (Bertrand, n.d.). Sund & Baelt frequently used climbers to scale the walls of structures to capture pictures for analysis. An examination for bridges near seas or in corrosive conditions may take a month, and the procedure has to be performed regularly (Bertrand, n.d.). Business analytics was important in addressing the issue since all infrastructural components needed to be inspected and there was a necessity for better alternatives. Going from investment management to restoration and maintenance was their goal as they entered the digital era (Bertrand, n.d.). The benefit of the given decision is that by automating more of its assessment operations, Sund & Baelt could cut time and expenses while increasing quality.
There were no challenges mentioned in the case study, yet it was mentioned that the solution to the problem changed decision-making, shifting from climbers aid to digitalization. There are many examples that show how robotization or digitalization of the companys operations changed its quality of work. For example, Denvers IT operation teams used to rely on a manual diagnosis of natural resources for monitoring tools (Sheehan, n.d.).
Conclusion
However, it implemented AI software that made the process easier. Similarly, Melbourne Water implemented automated inspection with IBM Cloud (Tucker, n.d.). These methods allowed the entities not only to cut costs but make the work less energy-intensive. The greatest discovery from this research is the profitability of such business approaches since they provide a minimum of a quarter of additional productivity from total value.
References
Bertrand, R. (n.d.). Building bridges to better insight. IBM. Web.
Sheehan, E. (n.d.). Denver. IBM. Web.
Tucker, M. (n.d.). Melbourne Water. IBM. Web.
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