Business Intelligence ( Bi ) And Business Analytics

The theme of this book is how businesses in today’s world use ever-improving technology to collect data, convert it into information and business intelligence, and combine this information and intelligence with the knowledge of the workers to help make the best decisions they possibly can for the benefit of the company and the customers. Throughout the book, there are discussions on the different ways that technology can help a business with this process. When going into detail about the various information systems, this book also brings into

Forecasting analytics will enable SYSCO to make appropriate upfront decisions and monitor customers as well as the industry. Extraction and data mining are also useful tools that will positively affect SYSCO’s decision-making process. Lastly, consulting support and employees’ training will facilitate the implementation of the new software in the company. For all these reasons, the use of BI at SYSCO can create a competitive advantage of the company in the industry. However, this competitive advantage depends on the competition – do the competitors use a similar software or by chance the same and do they already have a strong position in the market? Outperforming for example “U.S Food Service”, SYSCO’s main competitor, might be arduous if that company relies on a similar software and already has an eminent role in the

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.

Companies are adopting business intelligence system within their organizations because by using the system reports they can gain the advantages of understanding their internal strength and weaknesses to face external competitors and challenges to increase profits and reduce cost on their everyday operations and processes.

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.

Many large companies have been using business intelligence (BI) computer software for some years to help them gain competitive advantage. With the introduction of cheaper and more generalized products to the market place BI is now in the reach of smaller and medium sized companies.

Business Intelligence (BI) makes use of methods, processes, and technologies that help organizations to collect, store, report, and analyze business data for purposes of facilitating decision making. Institutions of higher learning are going through ab period of transformation as they become digitalized to make them competitive like other organizations. There is need to adopt technologies to improve the quality and efficiency of delivering study processes and enhancing the experience of students. Furthermore, learning institutions need to attract and retain students to sustain higher graduation rates (Deng, & Chi, 2012). Thus, business intelligence can help the management of higher education

Business intelligence can provide companies with accurate data that can be analyzed to support business strategy therefore enabling companies to better predict effectiveness of their business goals and ultimately result in a business profit. “Business intelligence is already in use in many organizations today, by finance departments to analyze financial performance, sales and marketing to identify customer trends, and operations to enhance the efficiency of supply chains. Using real data helps them answer who, what, where, why and when of related performance” (Rylander,2009).

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

Traditionally, business intelligence (BI) has been used as an umbrella term to describe the concepts and methods to improve business decision making by using fact-based decision support systems. BI also includes the underlying architectures, tools, databases, applications, and methodologies. BI’s major objectives are to enable interactive and easy access to diverse data, enable manipulation and transformation of these data, and provide business managers and analysts the ability to conduct appropriate analyses and perform the actions [Turban et al. 2008; Wixom et al. 2011]. Successful BI initiatives have been reported for major industries, from healthcare and airlines, to major IT and telecommunication firms [Anderson-Lehman et al. 2004; Carte et al. 2005; Turban et al. 2008].

Business Intelligence is the gathering and analysis of large amounts of information so as to gain insights that propagate strategic and tactical business decisions. Business Intelligence is the conglomeration of the processes and technologies which change data into information. It encompasses a wide category of technologies, including data warehousing, multidimensional analysis or online analytical processing, data mining and visualization, as well as basic queries and multiple types of analytical tools for reporting. These technologies allow business stakeholders to collect, store, access, and do the analysis of data to improve the business decision-making capabilities (Khan, 2005).

The basis behind any organization is to be successful by outpacing its rivals. The key to achievement in today’s world lies how well one applies analytics to the overall functioning of business and basic leadership. Analytics should be applied across multiple aspects of business only then a firm is said to be competing on analytics. Analytics has shown a significant impact on almost every kind of industry from professional sports to entertainment, financial management, customer service, sales and many more. Businesses today understand that only by analytically using the growing volume and variety of data and converting it into actionable insights that drive faster and better decision-making, resulting in useful outcomes, greater profits, superior flexibility, and ideal operational efficiency, a business can lead the race.

Business analytics is helping businesses decide where to invest, increase profit and make the most out of their company based on data that is collected and analyzed. As described in the article, The New World of Business Analytics, “business analytics can be defined as the broad use of data and quantitative analysis for decision-making within organizations” (4). The use of this type of research is developing new insights and understanding of the performance of a business. Through the increase in data analysis, companies are able to make decisions based on the information that they have received and studied. Observing analytics can be thought of as, “thinking differently, asking questions, and never being satisfied with doing things the way they have always been done.” (Analytics, Not Statistics, Driving NHL Evolution) As a field that is requiring more researchers, business analytics is becoming a popular field of study at many universities because of the increased need of employees by companies because of the success rate of business analytics techniques. Analytics is observing statistics and finding the meaning behind those statistics. Companies and students in the business field know the “increased importance of quantitative analysis of data for understanding, prediction and optimization.” (“The New World of Business Analytics”, 2) The collection of data is one of the most important steps in the analytics process because without

IBM Cognos Analytics offers businesses a way to comprehend and manage data. While including distinct features that are visually appealing and allow for a simpler approach at organization. It synthesizes information by creating an experience that works parallel online or on mobile devices. IBM Cognos Analytics enables the user to rapidly locate, examine, formulate, and distribute insight. It provides simple intuitive interface, supports smart search works in context, and gives a personalized experience to the user. With this analytic approach, there is no need for deep knowledge in data sources. The experience is easy to endure. Additionally, Cognos Analytics assists in scheduling and alerts, and empowering