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Design and evaluation of competitive intelligence capacity

Assignment Requirements
Project B: Design and evaluation of competitive intelligence capacity
The selection of the appropriate project potion will vary depending on whether or not a
student is currently employed. Option 1 really requires you to have ready access to the
organization and its employees if you are to do justice to the topic.
Option 2. Produce an evaluative literature review on the design of an effective
business intelligence capacity. (Most likely, FT students who are unable to complete first
option will select this option).
As with the seminar papers, you will need to identify important questions to be posed and
answered. In addition, emphasis should be placed collecting up-to-date evidence to support
your conclusions.
You are asked to develop and submit a plan for Project B during the first third of the course.
The course website contains a template that is used for this plan. The template poses a
range of questions designed to get you engaged in working early on the project. Your plan
should be submitted electronically by Monday 18 August 2014.
For either option, submit your final report by Monday 22 September 2014. Worth 30
percent of your graded assessment. Expected length is 4,500 words, excluding tables and
reference list. It should be submitted electronically according to the provisions specified in
the course guide.
Specific project objectives:

Identify which key course themes (issues) you are going to explored in your paper. Check the course guide and assessment guide, if necessary
List important questions that you anticipate exploring in your report.
What examples of relevant evidence-based practice do you hope to unearth in this investigation?
Data mining. To analyze a large amount of data stored within the enterprise through mathematical models to identify different customer or market segmentation, analysis of consumer preferences and behavior. It is a database of knowledge discovery) in a step. Data mining generally refers to the automatic search from large amounts of data hidden in one of the special relationship of the information process. There are data preparation, finding the law and rules, said three steps. Data mining tasks associated with analysis, cluster analysis, classification analysis, anomaly analysis, analysis of specific groups and evolution analysis. Data mining is usually concerned with computer science, and through statistics, online analytical processing, information retrieval, machine learning, expert systems and pattern recognition, and many other methods to achieve these goals.

Key information sources that support your project:
List at least five such sources that you believe will support this investigation. These need to be specific citations that signify that you have begun to undertake a serious investigation. [Indicating that you are going to look in the RMIT library, the course textbook or on the Web is not an acceptable response.] At this stage this will of course only be a starting list.
5. Etc
Set out the time line of your project
Set down the main steps involved in completing this report and the dates by which you hope to complete such work.
5. Etc
Describe potential connection of your project to the “Reflection Diary” exercise
Describe how your proposed design project might offer possibilities to enhance achievement of the BI competencies you have identified. Such possibilities include:
1. Collecting  (before 24/8/ 2014)
2. Half  (before 6/9/ 2014)
3. First draft (before 14/9/ 2014)
4. Final draft (before 20/9/ 2014)
Identify opportunities to strengthen your RMIT Graduate Attributes.
These attributes include: being work ready, innovative, an active and life-long learner, culturally and socially aware, global in outlook and competence, and environmentally aware and responsible. Describe what potential your project has to foster any of these attributes.
1.The understanding of business intelligence can improve my management ability, when I have my own company
2.Application and analysis of data can be better applied in practice
3.BI applications more suitable for the rapid development of today’s information age

BI can effectively distinguish what information is most useful for their own development

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