Business Intelligence Plan Essay

senior management and front-end workers) at the early stage of implementation. This can provide users an in-deep knowledge how the system is established, how to operate the system and how to transform and structure information into standardized data, at the same time, CTC can learn from their user experience design a better BI system will fit well with the existing working process and increase usability of this BI portal for the Data Warehouse on the BI system beta testing stage. By engaging senior management in the process would allow them to have a better vision on exanimating how well the current organization structure and culture is supporting the implementation of the BI system, and develop a better technical user supporting tools such as the “BI helpdesk website platform” to overcome the frustrations and problems that will occur to the users to eliminate the frustrations and increase the acceptance of the BI system. Moreover, it needs to establish an instant communication tool that provides one-click access throughout the organization to encourage interaction and reduce the psychological distance in collaboration. The BI system strategy will succeed only when user adopt the system , therefore there must have a strong alignment between the 4 components ( Structure, Technology, People and Process) and adequate training, supporting tool and reward incentives for

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.

Data analysis is a procedure of inspecting, cleaning, transforming, and modelling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. There are multiple facts and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains in data analysis. For data analysis we have to mine the data first for our purpose such that the data we can handle easily. Basically for data analysis our first thing to do our planning, how we are going to collect the data, our going data going to make sense or not, actually data will be meaningful for our object, after

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

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

Data analytics is defined as the process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making.

Each type of analytics as seen on the diagram above, could share a common sub group which could in turn have additional classifications. understanding and reviewing the different types of analytics systems and choosing those that best suite an organization is very helpful in determining the analytic plan for the future of the business. Succeeding in this, will definitely give a boost to the overall value of a business platform.

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).

Data collected by a business includes internal data, such as financial or operational information, as well as external data, such as customer or website usage information. Properly analyzing and acting on this vast amount of data can transform the way companies do business and can become their biggest competitive advantage. Leaders of the organization no longer have to rely on their “gut instincts” to make key decisions, instead they will make decisions off historic data and will be able to more easily measure and track the effectiveness of those decisions.

These and several more functions will sure be beneficial to our organization. Salmasi,M.K et al, 2016 stated that “Business intelligence is a technology-oriented solution that businesses need to survive in today’s competitive and constantly changing market” and for our company to stay in the market competition, we need to plunge into these trends.

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.

Business organizations receive different types data, from different sources, in the form of sales records, customer databases,

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.

It is through these three types of analytics, that business analytics can be distinguished from just being the plain process of analytics. These three types of analytics help make this process useful in the business environment. It requires “a clear relevancy to business, a resulting insight that will be implementable, and performance and value measurement to ensure a successful result.” Business analytics includes a combination of all three types to generate new information used for business organization decision-making. Descriptive analytics basically gives you a general idea of the data you are looking at. Predictive analytics takes the next step and predicts what is likely to happen next. Finally, prescriptive analytics figures out what is the best course of action. All three of these types of analytics can be very useful when used in combination with one another. Business analytics can be instrumental to a business’ success when implemented properly. (Schniederjans et al., 2014).

R.L Fielding (2008) reiterates that Business Intelligence is a thorough and holistic analysis of the company records, data, information, and software application for effective decision making. All decision making processes need an organized, readily-accessible, and human readable compilations of data. With the use of an effective tool the firm can easily figure out their own business processes, the behavior of their customers, and the economic trend of the industry. With these facts, the firm can arrive at a better strategy to achieve their specified goals with confidence.