In the current business world, enterprises have developed strategies and technologies which are useful for data analysis of the associated business information. This information obtained is essential in making prudent business decisions. This developed strategies and technologies used for data analysis are known as business intelligence which is abbreviated as BI. Business Intelligence is associated with businesses issues which go around its history, current situation and a future analysis of the trend of business operation. In business intelligence technologies which are key to business survival include; reporting, online analytical processing, data mining, process mining, benchmarking, predictive analysis among others. This essay discusses issues associated with business intelligence, showing an historical background, its software applications, advantages and disadvantages of business intelligence as well as describing the competition that is witnessed between Google and IBM.
Historical background of business intelligence Business Intelligence is a term which formally originated back in 1865 from Richard Millar Deven whereby he used the term to describe how a banker Sir Henry Furnese obtained profit from receiving information and various data prior to his competitors (Pekka Neittaanmaki, 2016). Business Intelligence is said to have evolved from decision support systems (DSS) that began back in 1960s.DSS is said to came about through computer aided plans which mainly
As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software
This report is an analysis of business intelligence systems currently available to our business. As an introduction, I will address in general terms why we need to purchase a business intelligence system and how it will aid our business. Then I will discuss several applications in detail, paying particular attention to the information and analysis capabilities of each, and the hardware and software required for each. Finally, I will conclude with a short evaluation of the products discussed and offer a recommendation as to the best application for our business. I will pay particular attention to IBM, Microsoft, SAP, and Oracle.
As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software industry today.
We cannot all help but notice the steady decline in our market share for the past consecutive 11 quarters. Annual revenue has shrunk by 40% since we last saw a sales growth. Despite all the cost cutting measures that we have implemented we still continue to see a steep decline in sales. To make matters worse we do not know why, we do not know how and do not have any insight on what the competition is doing and how they are doing it. I’m proposing that we adopt a business intelligence system. This will allow us to see the state of our overall processes, and pinpoint areas of improvement or elimination. In short, business intelligence will allow us to better analyze the organization’s plans and results. I will provide us with insight into what is working correctly at the same time identifying potential problem areas
This project is written to explain the processes involved in implementing a business intelligence system. It continues to describe the technologies involved in a business intelligence system, as well as the purpose of the system and how it can help companies become a leader in the industry. Lastly, the report contains facts about industries that have implemented a business intelligence solution, how they use it, and the benefits they reap from the implementation. The report covers multiple industries, but focuses on Chevron oil company and analyzes its business intelligence solution.
This is a kind of predictive analytics which helps to give idea about most critical factors affecting the growth. Business intelligence is proved to be beneficial in decision making. We analyze all data like orders, inventory, accounts, and point of sale transactions and also of customers.
Business Intelligence (BI) is defined by IBM as, “the discipline that combines services, applications and technologies to gather, manage and analyze data, transforming it into usable information to develop insight and understanding needed to make informed decisions.” (IBM.com, 2006) In its most basic form, BI is an umbrella principle that synergizes the core understanding of your business, including all of its facets, and acting on what that foundation is made up of.
There are a variety of benefits when it comes to implementing a business intelligence system. Because the nature of business intelligence is to gather data about customers and analyze the information possessed, it leads to the idea that business intelligence systems can help create better customer relationships. This is due to the fact that the company has a better understanding of what their customers desire and therefore, are able to serve them better. When customers are happy and their needs are fulfilled, the company is able to create customer loyalty, in which customers feel confident in returning to a company with their business because they know they can expect a pleasant transaction.
The amount of data available to suppliers has increased over the last several years. Business intelligence is a becoming a larger influence on the profitability of organizations and is affecting their supply chain management. Until recently, there has been little clarity into the relationship between business intelligence, analytics and supply chain management, but with the shift in information technology, organizations can now collect and organize information more clearly.
Business intelligence represents the use of series of tools to collect, analyze and extract information which can be used to aid the management process and decision making. It can help to reduce costs and increase revenue.
Business intelligence (BI) is a technology-based procedure for analysing data and giving decision based information to help corporate executives, business managers and other end users make more informed business decisions. BI comprises a variety of tools, applications and methodologies that enable organizations to collect data from different sources such as internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, analytic dashboards and data visualizations to make the analytical results available to corporate decision makers as well as operational workers. Simply put, Business Intelligence is technology process that assists in the conversion of raw data into meaningful information. It helps you analyse the past and come up with the strategy to improve the future. When organizations carry out their day- to -day operation, raw data is generated and mostly stored in a database .This data needs to be analysed and meaningful information extracted from it. Based on this output, come up with future strategy that will grow the company. Making future decisions directly from raw data is impossible as a result there is need for the data to be converted into meaningful data. Management makes use of this information to take fact based decision that will result to a better future. The data used for Business Intelligence analysis comes from OLTP (Online transaction processing).These are daily transaction that takes place
This is a kind of predictive analytics which helps to give idea about most critical factors affecting the growth. Business intelligence is proved to be beneficial in decision making. We analyze all data like orders, inventory, accounts, and point of sale transactions and also of customers.
The principle target of this paper is to distinguish the success factors of business intelligence system in small and medium enterprises. The characteristics of business intelligence system are a structure of this paper with how business intelligence leads to having competitive advantages. This paper distinguishes the term business intelligence, and the characteristics, and the competitve advantages for the firms. An organization trying to make focal point in order to comprehend the information that is produced in the execution of their business. Business intelligence can be an essential system to allow small medium enterprises to take vantage so from the data that are accessible. Thus, business intelligence systems can help the firms to
Legacy Business Intelligence tools, which more than 70% of companies today use, are becoming obsolete as they do not align with the needs of businesses today. These cumbersome and highly centralized systems cannot support increasingly dispersed teams that need access to information to take key strategic decisions that help run the business. As a result, an increasing number of corporate decision makers are turning to a next generation, easy to use real time cloud based analytical tools to achieve their business objectives.
Business intelligence (BI) is presently broadly utilised, especially in the world of practice, to describe analytic applications. BI is a process that includes two primary activities: getting data in and getting data out. Getting data in, traditionally referred to as data warehousing, includes moving information from a set of source frameworks into a coordinated data warehouse. Getting data in delivers limited value to an enterprise; only when users and