Knowledge Management
Question 1 (5 marks)
Discuss the importance of knowledge management in an organisation. Describe the technologies that can be used to support knowledge management (in less than 300 words).
Question 2 (5 marks)
How is text analytics different from data analytics? Give three examples where text analytics is very useful for supporting business operations (in less than 300 words).
Question 3 (20 marks)
Read the resource material available on the course website about WEKA (in Week 5 and Week 6). Download WEKA software and install it onto your computer (ensure the bundled Java Runtime Environment, i.e. jre is installed). After successful installation of the program, classify iris from the data iris.arff using J48 classifier (keep other parameters as default). The iris.arff file can be found on this link . Write an analysis report based on the classification results. You need to include the results in your report.
Hints:
1. To classify data in WEKA, use “Open file”, than select “Classify” â–º “Classifier (Choose)” â–º “trees” â–º“J48”.
2. You need to develop a decision tree and explain the output as well as the important variables required for
generating the output.
Question 4 (10 marks)
Run the “Plant Performance dashboard demo” (LogiXML, 2015). Review the options and views available to answer the following questions:
1. What sort of information is provided by the dashboard? What visual objects are used?
What quantitative or qualitative measures are being reported?
2. Discuss the performance of all the plants by comparing their KPIs against the targets as represented by the
dashboard. What visual objects are useful for conducting the comparison?
3. Provide a critique of the dashboard design and ways in which the design could be improved. Search the
web for information on ‘Information Dashboard Design’ and construct your critique using 3 additional
references, apart from the prescribed textbook.
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