Wednesday, December 4, 2019

Business Intelligence Em System A Model Framework

Question: Discuss about the Business Intelligence Em System for A Model Framework? Answer: Introduction Business Intelligence is a part of Information Management, which is a vast field concerned with the infrastructure of a system, collection of data and managing those data on a regular basis. BI (Business Intelligence) is a technological process for analyzing data and the information to help in maintaining a business organization or a particular enterprise. Through the process of Business Intelligence executive, business managers can make more informed and wise decision about their organization (Printer et al. 2013). BI framework provides several views of business operations such as historical view, ethical view, predictive views and more. Some of the functions of Business Intelligence process are reporting, processing, online analytical processing, data mining and complex event processing (Kemper et al. 2013). Every business decision about a system starting from basic operating decisions such as product positioning, product pricing to strategic decisions that includes priorities and goals of the organization. This business report is all about Business Intelligence, which is a part of Information Management system. This report explores several areas of BI framework and compares BI frameworks basic concepts and benefits. Several aspects, which have been discussed in this report, includes the background of BI, issues identified in BI Framework and how BI is used in Information Management. For this report, Virgin Atlantic Airlines have been chosen to show how the industry implemented BI in their internal business operations. Background of Business Intelligence Business Intelligence is a technology driven process that helps to make firm and wise decisions in industries. Business Intelligence or BI framework is completely based on the technological process that includes data warehousing, data mining, analytical processes and more (Baars 2013). BI framework encompasses a range of tools, methodologies, and applications that allow any particular organization to collect data from internal and external sources, analyze the collected data and atlas helps to make the report from the collected data from several sources (Kemper et al. 2013). BI framework can also include forms of analytical data approach such as text mining, data mining, statistical analysis and more. Business Intelligence data typically is stored in a data warehouse that holds the information about the company. In addition, Hadoop systems are also being incorporated in the BI framework in an increasing way (Foshay 2014). Companies deal with lots of unstructured data on a daily basis , so to analyze and process those data Big Data approach of Hadoop is also incorporated in the industries. Business Intelligence System at its initial stage was described as an automated system that can organize and process unstructured data of the various sections of an industry or any organization (Bure, Blecha and TuÄ nk 2015). In late 1990's the term BI became familiar with the marketplace when some of the new companies hit the market. Issues identified in BI Framework This section identifies some of the issues that are evolving with the use of BI framework in the industries such as ethical issues and social issues that are arising from the new technology used by the selected organization which is Virgin Atlantic in this case (Baars 2013). Ethical Issues in Business Intelligence Regarding Business Intelligence, the focus of ethical concern is mostly into data security and data management, data integrity and data privacy. A Recent report shows that ethical issues can be confusing and can jeopardize in global organizational culture. Avoiding the issues created in a workplace is the best possible solution for maintaining a well-developed culture of an organization (Mungree 2013). The main ethical issues that can arise while discussing Business Intelligence are regarding data privacy, spyware, recording the online activity of a user. Below some of the topics are briefly discussed. Privacy: Information can be easily monitored, captured and stored without the intervention of the user, so data privacy is a big issue in Business Intelligence (Trumpy et al. 2015). Recording online activity of a user: With the help of cookies, the privacy can be hacked like it can be tracked which files were accessed or which websites were visited. Ethical Practices in Virgin Atlantic Virgin Atlantic, is a British airlines company. The company has its headquarters in Crawley in the United Kingdom. As the aviation industries are an important part of tourism system, the ethical practices are also necessary to be practiced in the industry (Mungree 2013). Several ethical practices such as Integrity practice, confidentiality and privacy practices are discussed below. Integrity practices: As the Virgin Atlantic is a large aviation industry it maintains a large database for keeping its clients information. So maintaining data integrity is an important aspect of the industry (Ashley 2015). Confidentiality and Privacy practices: For an organization, employees and customer records are most important (Rouhani, Ghazanfari and Jafari 2012). The company has to run several security checks on the collected information so that they can be kept confidential from outside networks. Social issues arising from new technology used by Virgin Atlantic In this section, some of the problems are highlighted by using new technology used by the Virgin Atlantic. Previously for keeping records, the company used to maintain the traditional file-based approach but as the days passed and the organization grew larger company decided to maintain different database systems for the different operations they have (Trumpy et al. 2015). A different database for keeping employees record and another other database for other functions. As there is much more initial resource utilization in maintaining database handling, so the company is facing several problems as the cost of maintaining database is expensive (Mungree 2013). Also maintaining several databases are complex as the database designers; database administrators must understand this functionality to take the advantage of using database system. Business Intelligence in Information Management Through this section, several aspects of Business Intelligence are discussed such as traditional file system, DBMS, data mining and data warehousing and more (Trumpy et al. 2015). Managing data through traditional File System The traditional file system is an early approach of storing data and arranging computer files and the information of the file. A file system is a method of storing data and organizing computer files (Mungree 2013). In earlier days of information management organizations used to maintain their information through traditional file-based system (Foshay 2014). Traditional files are designed and process functionally so the quality of information are affected such as details, accuracy, inconstancy and wastage of storage space are some of the common problems that are found with the traditional file systems (Rouhani 2012). A diagram of a traditional file-based system is given below. Figure 1: Traditional File system (Source: Foshay 2014, pp-25) In the above example given there are different files maintained for different purposes such as for accounting and finance, for manufacturing, for human resource (Kemper et al. 2013). User log in to different terminals to access the data about the different topics and different topics are controlled by different applications, so there is no interconnection between different topics (Kuziemsky 2014). If manufacturing table is changed then, the user must also update other table accordingly manually to get the result reflected in the whole system (Baars 2014). In addition, if a company has different branches in different locations, then if a database table is updated in one location then the company have to update manually all the tables in all other locations. Database and DBMS in Information Management Using Database for storing data is a traditional upgrade over the traditional file system. Some startup companies use Microsoft Access as their database software. Database Management System (DBMS) is a collection framework of software that allows the user to store, modify and extract information from the database as per the requirements of the user (Foshay 2014). In this report for the selected organization that is Virgin Atlantic and the company maintains an improved well-developed flight reservation system which is based on the database management system (Kemper et al. 2013). The main components of a database are a group of related fields such as Customer name, Customer ID, address, etc., a group of similar records to form a table and a group of tables to form a database (Kuziemsky 2014). The company uses a flight reservation system which allows the user to go directly to the website and book the flight of their choice. Below an example of a database is given where some of the file s are mentioned such as student's file, files for the course of student (Ashley 2013). These entire files are integrated into a database. Below the example of a database is given where such tables are created and maintained using a database named Student Database. Figure 2: Database Management System (Source: Jafari 2012, pp-3770) There are also several advantages of using database management system. The most advantageous point of using database system is if a company has several branches in different locations and if one of the tables in one location is updated then automatically all the tables will be updated in all different locations (Rouhani 2012). Employees do not have to keep changing the tables manually which is a tedious process. Data Management and Data Warehousing This section highlights the two important aspects of Business Intelligence in Information Management System, which are Data Management and Data Warehousing. Data Management: Data Management is all about managing information for an organization. On a daily basis, every organization deal with lots of information. Some of the basic issues which it deals with are data profiling, data quality management, data integration and data augmentation (Ashley 2013). Mostly improving the quality of the data, understanding the data, combining similar data for different sources are some of the major concerns of Data Management. Data Warehousing: Data Warehousing is a tool or system used for data reporting and data analysis purpose. In other words, data warehouse is the central repository for different data collected from different sources (Kemper et al. 2013). These data centers store different data from different location sometimes from the past and are used to make an analytical report for knowledge workers. BI Framework: Concepts and Benefits This section deals with the Analytical processing which is also referred as Business Intelligence that includes data mining, enterprise support system, decision support system, web applications, querying and other user activities (Rouhani 2012). Below an example of BI Framework is given. Figure 3: BI Framework (Source: Foshay 2014, pp-25) The BI Framework has the important components which are given below. Production of consistent and comparable information on performance indicator A platform that evaluates and collaborates best practices from performance overview Improvement programs Performance monitoring areas Benefits of shared communication A table is given below to understand the Business value of BI analytical applications. Analytical Application Business Value Customer Segmentation Customer relationships and customer satisfactions are maintained through personalization. Customer Profitability By seeing the overall profitability of customer segments, business interactions should be made Channel Optimization Cost Management and interaction with customer Table 1: Applications and Business value of BI Conclusion This report is all about business intelligence which is a part of Information Management System. Business Intelligence is a technology driven process which is used in the industries for managing unstructured data. There are certain benefits of using Business Intelligence programs such as improving the decision making process, optimizing the internal business procedures and at the same time increasing the operational efficiency. BI framework can even help organizations to solve critical business problems that are very necessary and need to be addressed as soon as possible. The BI framework includes a bigger picture of data analysis that includes querying and how analysis, enterprise reporting, online analytical procedures which are also known as OLAP. BI programs include data analytics like data mining, text mining, data analysis, etc. This report highlights several aspect of Business Intelligence (BI) framework such as the background of the technology, how it evolved and grew from the initial stage, ethical issues in Business Intelligence practices in Virgin Atlantic, what are the problems faced by the companies by using the new technologies, business intelligence in information management and how traditional file system and database system are incorporated within the Virgin Atlantics flight reservation system. The company now uses database management system for keeping different records of the employees and their target customer. References Ashley, S., G Bonilla, J.C., Eldred, M. and Wood, L., 2013, March. Leveraging Multiple Digital Assets to Impact Overall Production Business: A Model Framework for Achieving Strategic Business Intelligence. InSPE Middle East Oil and Gas Show and Conference. Society of Petroleum Engineers. 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