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BUSINESS INTELLIGENCE FOR FIRE AND SAFETY INDUSTRY

Topic: Business intelligence for fire and safety industry 

Specifications : 

1.IEEE format

2.Abstract

3. Introduction

4. Technology and algorithms used in business intelligence

5. how business intelligence used in fire and safety industry.

6.scope of business intelligence in fire and business industry.

7.conclusion

Answer

Abstract

The given paper is based on the understanding of the different impact that is being caused by the business intelligence in the fire and safety industry. The paper helps in the understanding of the techniques and algorithms that are to be used to make the business intelligence system more effective and the different ways in which the organisations in the fire safety industry are being awarded with the usage of the technology. 

Introduction 

Business intelligence (BI) is a process that involves the use of technology in order to process data, analyse them and present the required information to the users of the system in the specific industry. The information that are derived from the business intelligence system are used by the business executives, managers and the other corporate end users o that the different informed business decisions can be taken effectively. Business intelligence systems provides the business sectors with different tools, applications and techniques based on the business sector and the internal and the external sources that are present in the respective companies. The paper is based on the understanding of the use of the business intelligence system in the fire safety industry. The paper helps in the analysis of the techniques and the different algorithms that are being used in the business intelligence process that makes the use of the tools and the techniques provided by the system effective to enhance the fire and safety industry. 

Technology and algorithms used in business intelligence

The processing of the business intelligence is entirely based on the algorithms and the technologies that are being used in order to carry out the business intelligence process in the respective business sectors. 

Technologies

The tools that are used for the business intelligence includes different aspects which helps in decision-making process and helps in the optimization of the internal business process effectively. It also allows the operational efficiency of the company to be improved. The techniques that are used make business intelligence effective and allow the usage of the tools to be carried out easily. The business intelligence contains a combination of broad set of data analytics and application that will be including ad hoc analytics and the querying. The use of the ad hoc analytics helps in the conduction of enterprise reporting. Online analyst is a processing (OLAP), mobile business intelligence, real-time business intelligence, operational business intelligence, cloud and the software-as-a-service business intelligence, open source business intelligence and location intelligence (Business Intelligence, 2018). 

Business intelligence technologies involve the use of data visualization software. The data visualisation software is used for the designing of the charts and the other info graphics, which will be involving the different tools and the techniques in order to build the dashboards of the business intelligence. The data visualisation software is also used in order to create the performance scorecards that help in displaying of the data that are being formatted in the form of visualisation on the business metrics and the key performance indicators. These key performance indicators are easy to learn and use without any difficulty in their application and processing.  It has been noted that the use of visualisation has increased on a higher rate. The increases in the rate of the data visualisation have become a standard for the modern business intelligence system. The use of visualisation analytics was not famous in the beginning of the approach of the usage of business intelligence system. However, the definition of the visualisation tools that has been gained by the vendors let to the increase in the traditional Business intelligence vendors and has allowed the following of the path for the usage of the tools on a higher level. It is important to note that the business intelligence tool allows the incorporation of the features of the visual data recovery that is not usually present in any system. The allowance of the visual data recovery helps in the development of the data on higher level and allows the usage of the data for decision-making process be carried out in different businesses (Adams, 2018). 

It has been observed that the usage of the business intelligence system also involves the use of the advanced analytics, which involves the usage of the data mining, predictive analytics, text mining, statistical analytics and the big data. It has been noted that there different advanced projects which involves the use of the business analysis in the form of straightforward querying and the analysis of the business data in order to make the other information of the projects to be carried out effectively. These analyses involve the use of the business intelligence data, which are being stored in the data warehouse system or data marts, which are similar to that of the data warehouse system. These storage systems include the subsets of the company's information that are to be used by the business executives of the companies belonging to the different business sectors. It has been noted that the fire and safety industry are effectively making use of the business intelligence system in order to make effective use of the technology for better services to be given to the customers and the consumers in terms of managing their safety. The fire and safety industries in the different parts of the world are making sure of the business intelligence system in the form of applications and tools that are being built in order to make the safety services to be readily available for the customers and help the society in the most possible way (Ruth, 2018). 

Algorithms 

Business intelligence is the concept that has been used by the different companies and the business industries in order to make their business activities highly effective and gain the greater ability to make business decision making more informative. It has been analysed that the business intelligence system use different form of algorithms that allows the potential for the business intelligence system to be more effective and analytical. It is important to note there are five categories of the algorithms that are to be used in order to make the business intelligence system more predictive for the businesses. 

Linear regression

Linear regression is the most basic algorithm that is use in the business analytics. The use of the linear regression involves the relationship between the two set of continuous quantitative measures. Between the two quantitative measures, the first set is known as the predictor or the independent variable and the other set that being used is known as the responsive of the dependent variable. The major work of the linear regression is to measure and identify the relationship between the two set in the form of a formula that explains the dependent variable in terms of the independent variable (SearchBusinessAnalytics, 2018)

Logistic regression

It is similar to that of the linear regression but the focus of this algorithm is problems that are involving the categorisation of the quantitative measures instead of forecasting the measures that are to be received. The output variable values, which are to be maintained, are known as the definite and the continuous and the infinitive values are present in the linear regression. The major goals of the logistic regression are to understand the instance of the input variable in order to check if it fits with the category of the quantitative variable or not. 

Classification and regression trees

The classification and the regression trees are used in order to categorize the data and the decision to be taken in terms of categorizing the data are a question, which are related to one of the input variable that it be given. The trees present in the classification section tend to becomes large and complex. One of the methods that are to be used in terms of controlling the complexity is the placing of the tree in order to maintain a balance between the exact fit and the abstraction. It has been noted that the model that works in order to put these instances are put up in training and are paramount (O’Neill, 2011) 

K-Nearest Neighbours

K-Nearest Neighbours are the classification algorithms, which are known as the lazy learner. This is because of the fact had the training phase of the process is very limited and the time queries to conduct such training are expected to be very small. It has been analysed that the learning process, which is to be caused, consist of the training set of the data that are to be stored. There are new instances which are to be evaluated in the distance to each of the data in the training set are evaluated. This leads to the consensus decision making which is to be categorised in the new instances where the data falls in the case of the proximity of the training being given. 

K-Means Clustering

K-Means Clustering is based on the creation of the related attributes in the algorithmic section. It has been analysed that the groups, which are created based on the attributes, are referred to as the clusters. When these clusters are created, there are instances, which can be evaluated against the obtained clusters. It has been noted that he usage of this technique is a part of the data exploration techniques. It is often used because the clustering method is simple and can be used to explain them in the easiest format (Pettey, 2018).

How business intelligence used in fire and safety industry 

The business intelligence are being used in the different business sectors in order to make the fire and safety industry more effective and there is effectiveness being provided in the protection of the population against fire. It has been noted that the fire safety industry is making use of the business intelligence system by making use of the different application and technologies that are created for the usage of the such industry exclusively. Some of the technologies that are used in the fire safety industry are given as follows:

Sound wave extinguisher

The two engineering students developed sound in order to put out fires in this system. This technology is highly chemical free, water-fire extinguisher in order to make sure that the use of water and the chemical is prohibited for better safety and reduction in the health effect for the population. This technology uses sound waves in order to separate the fuel burning from the oxygen. The fire then separated out with oxygen being available making it to be one of the most sound way of using the business intelligence system in the fire safety industry (Johnson, 2018)

Water Mist Systems

This system improves the use of the water mist in the fire safety technology that makes use of the sprinkler in order to sprinkle water. However, the water that is be sprinkled involves the spreading of mists which easily smothers a fire. As the water is produced in the form of mist, the creation of the mist is morrie comparison to the normal sprinkling of water. The larger water droplets helps in the conversion of the water into steam and the steam absorbs the heat from the fire and helps in the extinguishing of the fire in the most effective manner reducing the usage of water effectively (Liu, 2007). 

Early Suppression Fast Response Fire Sprinkler Systems (ESFR)

Early Suppression Fast Response Fire Sprinkler Systems are the system that are to be mounted on the ceilings that helps in the creation of high pressure on the heads which are capable of the producing higher volume of water. It has been analysed that the amount of water that is being produced by the pressure mounted is 100 gallons of water per minute. This fire system does not extinguish the fire completely but helps in the suppressing of the fire to the original point of origin making is extinguishable without much effort being given. These type of system needs large volume of water in order to help the fire to be extinguished and are linked with the fire pumps ( Revistaie.ase.ro , 2018)

Integrated Voice Evacuation and Messaging System

Integrated Voice Evacuation and Messaging System is the system that are used in order to maintain the safety of the population and is a part of the business intelligence system being used in the fire safety industries. This sis the system helps in alerting the people during the breaking down of the fire in any building or location. It is not similar to that of the normal alert system being used in order to alert the occupants of a resident or building during fire. However, the system contains voice enables instruction that helps the occupants to vacant the locations and the ways to escape from the fire (Fike, 2018).

Personalized Vocal Smoke Alarms

Personalized Vocal Smoke Alarms is the system that lasted for a shorter time in the market due to the different important features, which required higher technological details. It has been noted that this system helps in the form of personal voice alert system during any fire breakout. In this system, the users can record their personal voice that is to be played in order to make any sleeping individual be aware of the fire alarm. It also help the person to direct the individual during any fire breakout by recording the way of doing the similar ( Newatlas.com , 2018). 

Birdi-Fire and Carbon Monoxide Detector

Birdi-Fire and Carbon Monoxide Detector is the system that allows the detection of the smoke presence in any location where it is being used. In this system, there is the provision of constant watch on the house of the location where the system is being used. In this technology, other than the management of fire alarm or direction being to help the occupants of the location, it checks the quality of the air in the location and the presence of the carbon monoxide, which might lead to the breakdown of fire in the respective building. 

Video Image Smoke Detection (VISD)

Video Image Smoke Detection is the technology that involves the usage of the smoke detection and flame detection with the help of visual instance. This technology contains cameras that allows the identification of the evidence s of smoke and flames in the location in which the camera has been set out. This technology involves the identification of smoke and then sending of the signals to the computer system in order to send out alarms. The system is capable of reading the brightest, contrast, motion and the colour of the smoke, which has been detected in order to assess the fire presence and the volume (Russ, 2014).

Scope of business intelligence in fire and business industry 

Business intelligence is the processes that are in heavy use in different industries and increasing their demand in the fire safety industry. With the increasing rate of appreciation being available, it has been noted that there is the increase in the rate of the use of technology in order to reduce the use of water for extinguishing fire and help the occupants or the individuals to get directed during such alarming situations. It has been noted that in the recent past there has been different type of fire protection system in use, which are certified and developed in order to meet the standard of protection that has been set out by the government of the respective countries. It has been analysed that the business intelligence system involves various technique made with the different types of algorithms that allows the new engineering and the upcoming companies to build and manufacture the different types of fire alarm sets and fire extinguisher. These new equipments will be helping in maintaining an easier way of putting out fire in no time and create less impact on the heath of the infidels who are affected by the smoke cause during the extinguishing process (McBride, 2015). 

Different companies have come up that are using the business intelligence process in order to build such systems effectively. The different organisation that are responsible for the extinguishing fire and maintain the safety of the individuals or the population are taking the help of the business intelligence system in order to ensure that they are able to help out in such situation in the fastest ways possible. Some of these organisations are collaborating with the software companies in order to make some of the system like the VISD, ESFR and many other to be available to the population for better safety maintenance and the prevention of the fire break out can be carried out effectively.

It has been noted that the business intelligence process are effectively being used in the business industries so that there is effective understanding of the data that are to be gathered and the extraction of the data can be carried out by different executives of the organizations and the companies without any fail. The use of the different types of tools and techniques present in the business intelligence system has made it to be choice of the companies or the organisations that are involved in bringing in new technology in their operations (Ghosh, 2018). These companies allow the upgrading of the different information system to be used in order to analyse the company data without any fail. It has been noted that the different types of business organisations belonging to the different sectors are making use of the business intelligence process so that the companies are being able to make sure that their business structure and the operations are being updated regularly. The products that are being used are highly productive for the consumers due to the use of the new technologies. The most important aspect that the presence and the increasing demand for the business intelligence systems is the increase in the rate of companies that are being set up in order to provide the different business sectors to make use of the business intelligence system without any fail ( Gartner.com , 2018). 

Conclusion  

Thus, it is to be concluded that the presence of the business intelligence process has been affecting the overall process of maintaining the data security and the analysis. The increasing demand for the business intelligence has led to the development of different technologies and systems that allows the consumers to be safe and prevent the occurrence of any breakout of fire. The use of the business intelligence system has led to the development of application in the fire safety industry that allows the easier detection of the fire and helps in extinguishing them without much effort and damage being caused. There are different companies setting up in order to make use of the business intelligence system so that the fire and safety industry are being able to make effective efforts in mitigating such issues. 



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