Business Intelligence can be easily defined as a method which is used by various kinds of organization that is based on data and more kinds of precise facts. In other words, Business intelligence is the art that can be used in gaining of business advantage from various kinds of data that can be gathered by the fundamental kinds of question and considering the fact how the customers can easily rank in the chart provided (Kimball et al., 2015). It can be defined as the use of various software and algorithms for proper analysis of data. It can be easily used for guiding the strategic and tactical kind of business decision. BI tools are mainly used for analysis of present data sets in the form reports, maps that mainly enables a large number of users. BI can be easily defined as a descriptive kind of analysis that can be easily used in having an idea regarding the current past stage. Manufacturing industry have been considered as the main of source of profit any country. It is also considered as the main sources of business activity. The growth is mainly encountered in the zone of computer parts and manufacturing industry. Two kinds of technologies can be easily used for increasing the available for large number of decision makers. It is mainly inclusive of two parts that is business intelligence and management of knowledge (Laursen, & Thorlund, 2016). BI systems are chosen on wide platform as they increasing to large number of daily operation for a range of organization.
In the coming pages of the report a literature review has been done regarding the application of business intelligence. After that an evaluation has been done regarding the model used for business intelligence and development process that is mainly associated with it. After that an analysis has been done regarding the impact of business intelligence in various kinds of organizational aspects like Various other kinds of parameters like quality of product and customer satisfaction has been discussed in details.
Business intelligence can be easily defined as list of methods that can be used for converting data into particular information. Various kinds of knowledge are generally obtained about the requirements or needs of application (Fan Lau & Zhao, 2015). It is mainly used for gathering information regarding organization performance in global trends. Another kind of definition of BI is that various systems can easily put together gathering and storing of data and knowledge that is mainly required for storage of data and proper kind of knowledge management along with analytical tools that can be used for presenting a ready to flow output of application. Complicated kind of information can be easily provided by planners and various kinds of decision makers (Larson & Chang, 2016). BI tool is mainly used for obtaining right kind of information at proper time and location. In other words, BI can be easily defined as collection of technologies and procedures which can easily permit people at various levels of the organization that is used for analysing data which is used for managing the business, increasing the level of performance. It can be used for analysing various kinds of opportunities and operating in an efficient way. BI has been used on wide basis in manufacturing industries as it is helpful for solving large number of organization problems. The organizational issues can easily range from decision making to maintenance of competitive advantage for an organization (Moro, Cortez & Rita, 2015). There are number of domains in application of BI can be done like analysis of customer, operational efficiency, revenue driving, having competitive advantage, spotting various kinds of business problems.
Customer analysis: At present various kinds of customer are mainly busy with multiple kinds of ways in which they establish an interaction. There are large number of platform like website, Chatbot’s, mails, social media, calls, interacting directly and many other kinds of things. It has ultimately result in gathering of data from various multiple sources (Laudon & Laudon, 2015). Business intelligence system can easily aim in providing large number of touch points that have gathered as a result of data in multiple sources. BI mainly aims in integration of data from various kinds of multiple sources so that they can easily have overview of the various kinds of customers (Chang, 2014). Low-level of data analysis can be easily used for providing insight of things that are taking place at the very moment.
Increasing operational efficiency: At present the whole market is saturated and the whole internet has been overcrowded with various kinds of content, experts, products and various kinds of services that are being offered (Richards et al., 2017). Business intelligence is mainly used for guiding people so that they can easily put the dollars at right position by making use of various kinds of resources and infrastructure that is used generally.
Driving Revenue: Business intelligence can be easily used for defining the proper kind of strategy which can be used by any organization for driving the required revenue (Yeoh, & Popovi?, 2016). It can easily provide the idea regarding the insight of various kinds of business operation. Business intelligence can be easily defined as a proper kind of information that can be easily used for analysing the exact behaviour of the customer (Farrugia, 2017). With the help of this kind of information one can easily create marketing strategies that can be easily used for various kinds of conversation. By the help of information an organization can easily certain number of marketing strategies that maximize revenue and improvise the decision of ROI.
Competitive advantage: Some of the basic kinds of insights are generally considered to certain number of tools that can be used by various kinds of business entities. This kind of tools and techniques are mainly considered to be limited for customers, market and competition. A major part of traditional data analytics techniques focuses on the data that is mainly provided by large number of organization (Wu, Chen & Olson, 2014). Business intelligence mainly looking into the fact of source of secondary source of data. It also depends on social signal, current trend in market which will provide competitive advantage.
Analysing business problem: Business intelligence mainly focus on the statement of profit and loss that will ultimately provide insight regarding true health of this organization. Large number of BI application can be considered to be useful for integrating with the provided accounting software which will help in finding out the trends (Qureshi, Khan & Saif, 2017). Business intelligence is generally limited to tracking of various kinds of KPI. It mainly focuses on forecasting which is used for avoiding bottlenecks and critical kind of decision making like purchasing or any kind of associated hiring (Brooks, El-Gayar & Sarnikar, 2015). By proper showcasing of data that is mainly provided by the help of multiple layers of Business intelligence which can easily highlight problems which can be used for analysis of traditional techniques.
Business intelligence is generally defined as a system software and other kinds of associated tools that is mainly used for collecting all kinds of complex data which is used by an organization. Data modelling can be defined as a well-known tool that is used for success in business intelligence (Brooks, El-Gayar & Sarnikar, 2015). A data model for various kinds of online business may hardly support any other kind of business. After a proper kind of analysis of various data of organization can easily have a proper kind of data model. Data model should be developed in such a way that it can easily represent the various kinds of unique nature of the organization, type of data being used and their relationship with each other. The data model should compromise of inbuilt data intelligence by the help of metadata, data dictionaries.
Data model should be used in such a way that it can be accurately represent the various kinds of data that is available along with decision processes. Data model should be considered to be much scalable and modular in nature which is used for providing support to changing business needs of the organization (Kasemsap, 2015). A subset kind of data model is mainly used for providing support to ever changing needs or requirements of the business along with various kinds of business needs which is required for the organization. Data model should be used or implemented in such a way that it can either be considered like base by the help of in-house development tools like oracle business intelligence. Business intelligence can be considered to be useful for analysing the various kinds of needs of an organization. It is considered to be useful method that is used for analysing the various kinds of needs of the organization. In an organization, business intelligence system is considered to be complex, expensive and lastly time-consuming. It has been implemented by making use of large number of techniques which provides large number of cost benefitted techniques.
There are large number of advantages of making use of business intelligence:
Fact- based decision: One of companywide business intelligence system is proper management of various kinds of things which makes use of present kind of data in various domains like finance data, data for consumer (Stone & Woodcock, 2014). It can easily have an idea regarding various kinds of reports that can be used for synthesis of data in pre-determined methods like present return on various kinds of report for individual based products. It mainly helps proper management of various kinds of fact based decision. It will ultimately help in focus on various kinds of fact and decision that some of the facts which helps in concentrating of different kinds of fact that are available.
Improving sales and Negotiations: Business Intelligence system is defined as a valuable kind of assets to various organization sales force as it can easily provide an easy kind of access to present reports which is mainly used for identifying various kinds of sales records, improvement of various kinds of products and present customer (Petermann et al., 2014). Details and present kind of data is considered to be much valuable back up that can easily use for any kind of negotiation.
Elimination of waste: A business intelligence system can easily focus on certain number of areas for areas of waste or any kind of loss that may have not have been noticed earlier (Gupta, Goul & Dinter, 2015). A companywide business intelligence system can be easily used for analysing various kinds of operation.
There are large number of problems or issues in business intelligence like
Strategy: Organization should have kinds of ways that can be easily used for dealing with various kinds of problem in it. Business intelligence solution should be dealt in such a way that it can provide suit to various kinds of requirements of business (Mathaisel & Comm, 2017). BI should be implemented by taking into consideration of various kinds of benefits and limitation.
Lack of training and execution: Many times it is encountered that various kinds of well-articulated things. Organization should be more focused about understanding the need of Business intelligence.
Low Utilization: In general management mainly focus on low kinds of utilization of large number of things. Management might not be able to make use of information in various kinds of system.
Installation and Deployment: A painful kind of installation of BI as its deployment can easily result in unplanned and rushed kind of deployment. Executives can easily make use of various kinds of methods in implementation of Business intelligence.
Business intelligence and Unstructured Data: In many of the cases it is observed that unstructured kind of data is mainly used for analysing Business Intelligence. It ultimately leads to a large number of problem in BI processes. Business should start investing in Big Data analytics on the contrary it cannot complete the task in given time.
Business intelligence can be considered to be effective thing that is mainly used for avoiding bottlenecks and various kinds of issue in fragile market. Business intelligence is considered like a critical factor to both executives and various kinds of owners. It mainly tends to provide insight that can easily result from the health of an organization (Sallam et al., 2014). Business intelligence mainly ensures the fact that better and stronger value of rate of return (ROI) is considered to be a significant thing that mainly reduces cost, improves revenue, improves margin, driving cost avoidance and many other things. BI can easily improvises business process and efficiency and productivity of business (Jovanovic, Romero & Abelló, 2016). Business intelligence can easily provide critical kind of information to large number of organization. It also helps improving the ability of large organization which ultimately helps in improving the decision and proper generation of competitive edge.
Conclusion
From the above discussion it can be easily concluded that this report is all about business intelligence. In the beginning page of the report an idea has been provided regarding the importance of Business intelligence in an organization. An explanation has been provided regarding the fact that how business intelligence can improve the functionality of business and provide much competitive advantage. Various provides has been identified in an industry or organization. Along with an explanation has been provided regarding the fact that how business intelligence can easily improve functional activities and gain competitive advantage from it. It is mainly inclusive of various kinds of parameters like decision making, issues in performance of organization, data and issues in information and kinds of associated business performance. In the above pages of the report an idea has been provided regarding application of business intelligence. An explanation has been provided regarding model which is approached and process which has been used for development. After that a reflection has been provided on the usefulness and limitation of business intelligence. Various kinds of issues that are encountered in Business intelligence has been discussed in details. An analysis has been done on quality of products and services that are offered by Business intelligence, quality of product and customer satisfaction. In the end of the report a list of recommendation has been provided for Business intelligence.
Business Intelligence is considered to be an important factor for large number of organization. It is mainly used for delivering various kinds of useful information from the volume of data that is mainly collected. There are large number of business intelligence tool available but no kind of single tool which is use. The needs of various projects can easily differ within the provided organization so a proper kind of tool is mainly required for handling it. Five tools from Microsoft BI stack will ultimately help in making of application which has been developed and recommended as the best kind of tool that is mainly for large number of purposes.
References
Brooks, P., El-Gayar, O., & Sarnikar, S. (2015). A framework for developing a domain specific business intelligence maturity model: Application to healthcare. International Journal of Information Management, 35(3), 337-345.
Chang, V. (2014). The business intelligence as a service in the cloud. Future Generation Computer Systems, 37, 512-534.
Fan, S., Lau, R. Y., & Zhao, J. L. (2015). Demystifying big data analytics for business intelligence through the lens of marketing mix. Big Data Research, 2(1), 28-32.
Farrugia, C. (2017). Bringing business intelligence to bear on long-term HR planning (Bachelor’s thesis, University of Malta).
Gallinucci, E., Golfarelli, M., & Rizzi, S. (2015). Advanced topic modeling for social business intelligence. Information Systems, 53, 87-106.
Gupta, B., Goul, M., & Dinter, B. (2015). Business Intelligence and Big Data in Higher Education: Status of a Multi-Year Model Curriculum Development Effort for Business School Undergraduates, MS Graduates, and MBAs. CAIS, 36, 23.
Jovanovic, P., Romero, O., & Abelló, A. (2016). A unified view of data-intensive flows in business intelligence systems: a survey. In Transactions on Large-Scale Data-and Knowledge-Centered Systems XXIX (pp. 66-107). Springer, Berlin, Heidelberg.
Kasemsap, K. (2015). The role of data mining for business intelligence in knowledge management. Integration of data mining in business intelligence systems, 12-33.
Kimball, R., Ross, M., Mundy, J., & Thornthwaite, W. (2015). The kimball group reader: Relentlessly practical tools for data warehousing and business intelligence remastered collection. John Wiley & Sons.
Larson, D., & Chang, V. (2016). A review and future direction of agile, business intelligence, analytics and data science. International Journal of Information Management, 36(5), 700-710.
Laudon, K. C., & Laudon, J. P. (2015). Management Information Systems: Managing the Digital Firm Plus MyMISLab with Pearson eText–Access Card Package. Prentice Hall Press.
Laursen, G. H., & Thorlund, J. (2016). Business analytics for managers: Taking business intelligence beyond reporting. John Wiley & Sons.
Mathaisel, D. F., & Comm, C. L. (2017). The Use of Business Intelligence to Market the Sustainability of” Unique Products”(pp. 120-121).
Moro, S., Cortez, P., & Rita, P. (2015). Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation. Expert Systems with Applications, 42(3), 1314-1324.
Petermann, A., Junghanns, M., Müller, R., & Rahm, E. (2014). Graph-based data integration and business intelligence with BIIIG. Proceedings of the VLDB Endowment, 7(13), 1577-1580.
Qureshi, N. A., Khan, B. A., & Saif, J. A. (2017). Business Intelligence Systems in the Holistic Infrastructure Development Supporting Decision-Making in Organisations.
Richards, G., Yeoh, W., Chong, A. Y. L., & Popovi?, A. (2017). Business intelligence effectiveness and corporate performance management: An empirical analysis. Journal of Computer Information Systems, 1-9.
Sallam, R. L., Tapadinhas, J., Parenteau, J., Yuen, D., & Hostmann, B. (2014). Magic quadrant for business intelligence and analytics platforms. Gartner RAS core research notes. Gartner, Stamford, CT.
Stone, M. D., & Woodcock, N. D. (2014). Interactive, direct and digital marketing: A future that depends on better use of business intelligence. Journal of Research in Interactive Marketing, 8(1), 4-17.
Wu, D. D., Chen, S. H., & Olson, D. L. (2014). Business intelligence in risk management: Some recent progresses. Information Sciences, 256, 1-7.
Yeoh, W., & Popovi?, A. (2016). Extending the understanding of critical success factors for implementing business intelligence systems. Journal of the Association for Information Science and Technology, 67(1), 134-147.
Essay Writing Service Features
Our Experience
No matter how complex your assignment is, we can find the right professional for your specific task. Contact Essay is an essay writing company that hires only the smartest minds to help you with your projects. Our expertise allows us to provide students with high-quality academic writing, editing & proofreading services.
Free Features
Free revision policy
$10Free bibliography & reference
$8Free title page
$8Free formatting
$8How Our Essay Writing Service Works
First, you will need to complete an order form. It's not difficult but, in case there is anything you find not to be clear, you may always call us so that we can guide you through it. On the order form, you will need to include some basic information concerning your order: subject, topic, number of pages, etc. We also encourage our clients to upload any relevant information or sources that will help.
Complete the order form
Once we have all the information and instructions that we need, we select the most suitable writer for your assignment. While everything seems to be clear, the writer, who has complete knowledge of the subject, may need clarification from you. It is at that point that you would receive a call or email from us.
Writer’s assignment
As soon as the writer has finished, it will be delivered both to the website and to your email address so that you will not miss it. If your deadline is close at hand, we will place a call to you to make sure that you receive the paper on time.
Completing the order and download