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Case study analysis
Business intelligence system
Business intelligence system
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Introduction Individuals and organizations within current information society have at their disposal vast amount of data which potential has not fully been used. With the increasing availability of data there is a need to organize data and to extract knowledge from such data. Data are being accumulated in different formats and databases, which are usually not connected together, therefore leading to the inefficient use of valuable information. Contemporary organisations are therefore seeking the opportunities to improve decision-making. With different people participating in decision-making, the scope of particular decisions is in many cases of global nature (Olszak & Ziemba, 2006). Thus there is a great need for tools that are able to analyse the increased availability of data and improve coordination in the information exchange. Business Intelligence is the name given to the toolset that handles a mass of operational data and extract business information capable of supporting the strategic and tactical decision-making processes to enable the achievement and maintenance of competitive advantage for the organization. The purpose of the report is to investigate the effectiveness of Business Intelligence tools for supporting decision-making. This will be done firstly by defining the business intelligence and its tools . The second chapter will analyze business intelligence and its role in decision-making process. The third chapter will look at the role of data mining – BI tool, for decision-making. The fourth chapter will analyze the effectiveness of data mining by using the case study. In particular, it will look at the effectiveness of data mining for decision-making in retail industry. 1. Business Intelligence ... ... middle of paper ... ...mation, Knowledge, and Management. Vol.10, at http://ijikm.org/Volume1/IJIKMv1p047-058Olszak19.pdf Petrini M., Pozzebon M., “Managing sustainability with the support of business intelligence: Integrating socio-environmental indicators and organisational context” Journal of Strategic Information Systems 18 (2009) 178 191 2009, at: http://portal.acm.org/citation.cfm?id=1664085 Ritacco M., Carver A., (2004)The Business Value of Business Intelligence: A Framework for Measuring the Benefits of Business Intelligence, Business Objects Stake, E. R. (1995) The Art of Case Study Research. SAGE Publications: Thousand Oaks. Tapscott D., (2008) Business Intelligence for Consumer Packaged Goods: Actionable Insights for Business Decision Makers, New Paradigm Learning Corporation Yin, K. R. (1994) Case Study Research: Design and Methods. 2nd edition. SAGE: Thousand Oaks.
No matter what the topic is, which whether it’s a practical or very unusual, a case study can supply very descriptive, qualitative information. With using this method and collecting all this information, one becomes very knowledgeable of the subject, which makes it easier for the researcher to connect with their work. By the connection made between the subject and researcher, the researcher will then have a different in-depth perception of the case. Finally, while this method has its disadvantages, the case study method proves to present a unique platform for a variety of studies that create remarkable insights into areas of analysis versus all the other research
Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed method approaches. Thousand Oaks, Calif: Sage Publications.
To make the best of the seemingly untappable resource, a new field of data extraction, visualization, management and manipulation has come about – Data Analytics or Data Science. People who indulge in this data mining
The purpose of this case study is to investigate and bring new insight to situations and behaviors within an organization. Case studies are learning tools which utilize social science research to identify and resolve individual and organizational challenges (K. Mariama-Arthur Esq., 2015).
The goal is to explore as many options for consultation and areas of potential data gathering. Ideally the use of software works to the benefit of any business small or large. Morgan Goods is committed to using the best processes to help the overall bottom line and reputation. This includes software such as Microsoft Access, Teradata, SQL and Oracle. Using these programs could help blueprint and spot any potential gaps in areas that need better processes.
Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Thousand Oaks, CA: Sage Publications.
Joseph P. Bigus. 1996. Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support. McGraw-Hill, Inc., Hightstown, NJ, USA.
First of all, business intelligence analysis requires the capturing of information and storing in a single location for effective data analysis. Currently, data analysis is supported by transactional systems, business specific data marts, and other ad-hoc processes. Information is distributed making it difficult and time-consuming to access. Business teams have adapted to this environment by creating user maintained databases and manual “work-arounds” to support new types of reporting and analysis. This has resulted in inconsistent data, redundant data storage, significant resource use for maintenance, and inefficient response to changing business needs.
"Data mining is the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques" (SPSS). However, really data mining turns databases into knowledge bases which is one of the fundamental components of expert systems. Instead of the computer just blindly pulling data from a database, the compu...
The potential user group for BI goes beyond the power users in the IT world to include deans and directors, mid and senior-level managers, key administrators, analysts, staff supervisors... Basically anyone involved with strategic direction and tactical decision-making will benefit from Business Intelligence
Business intelligence, or BI, is an umbrella term that refers to a variety of software applications used to analyze an organization’s raw data. BI as a discipline is made up of several related activities, including data mining, online analytical processing, querying and reporting. Data mining is the process of sorting through large amounts of data and picking out relevant information. It is usually used by business intelligence organizations, and financial analysts, but is increasingly being used in the sciences to extract information from the enormous data sets generated by modern experimental and observational methods.
Executive Information Systems (EIS) are announcing tools (software) that allow turning the organization’s data into useful summarized reports and uniting the features of management information systems and decision support system. These reports are usually used by executive top managers for quick access to the strategic information coming from company levels and departments such as billing, cost accounting, scheduling, and more. The main goal of EIS is that top executives should be provided with straightforward and simply access to info...
Curtis G. & D. Cobham (2002: 4th edition) Business Information Systems: Analysis, Design and Practice. Essex: Pearson Education Limited
Data Collection is the process of collecting information that will be utilized in the diagnostic process and eventually used to make business recommendation. In this data collection process, it is critical to ensure the highest quality of data possible. In the data collection component, the information is gathered on the specific department or organization such as inputs, design components, an...
...chniques and procedures among those associated with quantitative or qualitative research. A literature review, which included document analysis, was used to answer sub-questions one, two and three. A model building approach was suggested to answer sub-question four. In addition, the study uses a case study as a proof-of-concept. The use of a case study is a qualitative empirical study to strengthen the research validity. Since the research methods directly responding to the research questions (Literature review and Model building) make use of textual data, we classified this study as a qualitative study. Table 3.1 below summarises the classification of this study in terms of the dimensions discussed above.