Business Intelligence Plan Essay

Organizations collect data. This raw data must be analyzed to tease out useful information. The software used to analyze raw data is known as Business Intelligence (BI). BI is comprised of theories and processes such as data mining, online analytical processing, querying and reporting. BI improves

Business intelligence (BI) merges architectures, tools, databases, analytical tools, applications, and methodologies. It also is context free like DSS. BI deduces the connections between business entities by evaluating copious volumes of historical data which supports decisions. BI has four major components consisting of a data warehouse, business analytics, business performance management, and a user interface.

Structure and Process Relationship Canadian Tire has employed a silo organization structure, each department concentrate on its own silo rather than integrate data. The silo syndrome restricts the effectiveness on maximizing the competencies and resource of each department. Its BI system is definitely can be used to generate meaningful information, however,

In detail, a strong resistance will come from some of the operating companies that already have “their own small-scale business intelligence applications in place”. These companies may not see any valid reason or advantage to switch and implement a new software system. Furthermore, another obstacle that SYSCO might confront will be the objection from the existing managers and IT experts averse and incapable of using a new software with different functions. Moreover, the forthcoming implementation time of the BI software proposed by the Assistant Vice President of Technology and Applications Twila Day might raise doubts and concerns among management as well as

Fig: Current BI Environment In this figure, there are two sources of information for business: 1). Information from IW, which has passed through the ETL process before it goes to the end users. 2.) Information from independent data sources, which is processed by different standards. This is counter to the strategic goal of eliminating duplication of analysis, reporting and ad hoc analysis. This environment consumes more time for business users to understand end-user data, and more money for the firm which is wasted on different and possibly conflicting results.

In the healthcare industry, the power to collect, assess, and disseminate information is a valuable strategic resource that any organization can use to improve its competitive advantage. Data management is an imperative in this industry and various stakeholders operate on data in multiple information systems. Daily operations for a healthcare

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.

Businesses today have access to significantly more data than any other time in history; however, most businesses are not capturing or using the data effectively. A report by the Aberdeen Group, “The Executive’s Guide to Effective Analytics,” indicates that “44 percent of executives are dissatisfied with the analytic capabilities available

[pic] 9 - 6 04- 080 REV: SE PT EMB E R 11, 20 06 ANDRE W MC A F EE ALI S ON BE RKLE Y W A G O N F ELD Business Intelligence Software at SYSCO Introduction Twila Day left the meeting excited, but also a little nervous. Her Technology and Applications Group had just been given approval by the Director’s Council of SYSCO to proceed with a company- wide deployment of business intelligence (BI) software. The effort was intended to help SYSCO, the largest food distributor in North America, make better use of the information generated by its operations and serve its customers better. The Director’s Council, a group of senior managers with substantial power and influence, had been impressed enough by the results of a

Business Intelligence projects start out as a simple report or request for an extract of data. Once the base data is aggregated then the next request usually is about summing data or creating more reports that have different views to the data sets. Before long complex logic comes into play and the metrics coming out of the system are very important to many corporate wide citizens. "Centrally managed business rules enable BI projects to draw from the business know-how of a company and to work with consistent sets of business logic – they are what add the intelligence to business intelligence."(pg14)

Data analytics includes the process of the analysis after collecting, of data to determine patterns as well as all types of information. Businesses profit from this data analysis and how it has been classified.

Abstract: 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 Software 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

Guthy – Renker Case Brief Guthy – Renker an infomercial studio which has emerged into direct response marketing which has discovered and developed different award winning products. Most of the function - product design, manufacturing, media, call centers, fulfillment, shipping, customer service – are outsourced. Whenever there is need of information Guthy – Renker be contingent on their IT department to gather data and produce report. To overcome this difficulty and to reduce the manual effort they have come up with its first formal Business Intelligence project. The company 's initial model of business intelligence used a FoxPro based database management system which had several issues with the maintenance and update of the data and was also not able to scale up with the growth of the business. With expertise from Trinus Corporation, Steve Johnson (Vice President of Information Technology) and Manish Gupta (Director of Information technology) rolled out new BI project. Some of the major changes to the company were the standardization of data across the enterprise and made data available to all the level business users with ease. They also made sure that the reports are generated even for the one who got no technical expertise. According to Joseph, W., Clark & Omar, A., El Sawy. (2010), “BI capabilities are often described in terms of key performance indicators, or KPIs” (p. 15).