Business Analytics in Civil Engineering Projects

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=Abstract=
 
=Abstract=
  
Business Analytics in Civil Engineering Projects and Civil Engineering Companies has become a significant solution in problems of operational management and in decision making. Nowadays with the development of the Information Technology is possible for management team to do the pricing of any kind of project (Infrastructure, Housing and Building, Energy, Environmental) taking into account stakeholders, time, costs, risk, macroeconomic and political context. However, to be able to use the methodology is necessary to understand the importance of using analytical tools such as Project Finance, Monte-Carlo Analysis and in some cases Statistics Linear Methods. Area.[[File:Analytics.jpg|frameless|right|200px]] The outstanding fact about doing pricing to a civil engineering project with business analytics is that managers and investors will have resume data and factual information about a predicted project, moreover to forecast the project would not only create future indicators but also will support managers in the planning of other areas like legal area (Contracts with suppliers, Governmental, Institutional client, customer) and Risk Management Area.[[File:Analytics.jpg|frameless|right|200px]]
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Business Analytics in Civil Engineering Projects and Civil Engineering Companies has become a significant solution in problems of operational management and in decision making. Nowadays with the development of the Information Technology is possible for management team to do the pricing of any kind of project (Infrastructure, Housing and Building, Energy, Environmental) taking into account stakeholders, time, costs, risk, macroeconomic and political context. However, to be able to use the methodology is necessary to understand the importance of using analytical tools such as Project Finance, Monte-Carlo Analysis and in some cases Statistics Linear Methods. Area.[[File:Analytics.jpg|frameless|right|200px]] The outstanding fact about doing pricing to a civil engineering project with business analytics is that managers and investors will have resume data and factual information about a predicted project, moreover to forecast the project would not only create future indicators but also will support managers in the planning of other areas like legal area (Contracts with suppliers, Governmental, Institutional  
  
 
The reader must comprehend that the role of the manager or management team of a civil engineering company is to create and generate the most amount of value possible to the organization and therefore to the investors. In order to be able to achieve that objective, knowledge in business analytics (probability, accounting, finance, statistics, programing) and data analysis is essential and compulsory. This article will focus on how managers should apply business analytics in construction companies and civil engineering projects and at the same time will illustrate examples with good practice in business analytics and others in common problems that construction industry usually faces.
 
The reader must comprehend that the role of the manager or management team of a civil engineering company is to create and generate the most amount of value possible to the organization and therefore to the investors. In order to be able to achieve that objective, knowledge in business analytics (probability, accounting, finance, statistics, programing) and data analysis is essential and compulsory. This article will focus on how managers should apply business analytics in construction companies and civil engineering projects and at the same time will illustrate examples with good practice in business analytics and others in common problems that construction industry usually faces.

Revision as of 10:22, 14 February 2018

Contents

Abstract

Business Analytics in Civil Engineering Projects and Civil Engineering Companies has become a significant solution in problems of operational management and in decision making. Nowadays with the development of the Information Technology is possible for management team to do the pricing of any kind of project (Infrastructure, Housing and Building, Energy, Environmental) taking into account stakeholders, time, costs, risk, macroeconomic and political context. However, to be able to use the methodology is necessary to understand the importance of using analytical tools such as Project Finance, Monte-Carlo Analysis and in some cases Statistics Linear Methods. Area.
Analytics.jpg
The outstanding fact about doing pricing to a civil engineering project with business analytics is that managers and investors will have resume data and factual information about a predicted project, moreover to forecast the project would not only create future indicators but also will support managers in the planning of other areas like legal area (Contracts with suppliers, Governmental, Institutional

The reader must comprehend that the role of the manager or management team of a civil engineering company is to create and generate the most amount of value possible to the organization and therefore to the investors. In order to be able to achieve that objective, knowledge in business analytics (probability, accounting, finance, statistics, programing) and data analysis is essential and compulsory. This article will focus on how managers should apply business analytics in construction companies and civil engineering projects and at the same time will illustrate examples with good practice in business analytics and others in common problems that construction industry usually faces.


Building Information Modeling (BIM) Analysis 3D

Time scheduling Analysis 4D

Monte-Carlo Analysis PERT Distribution

Project Finance Analysis 5D

Time Value of Money

Free Cash Flow in the Project

Equity and Debt

Business Analytics vs Intelligence Analytics

common problems in industry construction Colombian case

Buisness analytics good case

References

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