Research and reflect on the differences between supervised (structured) and unsupervised (unstructured) data-mining systems. Answer the following questions:

1. What is a supervised (structured) data mining?
2. What is unsupervised (unstructured) data mining?
3. How would an organization choose which BI technique is best for them?

You are a business consultant of People for the Ethical Treatment of Animals (PETA), and the regional chapter (Indiana, Kentucky, Ohio, and Tennessee) is asking you to help them analyze its member data. The group wants to investigate demographic and sociographic data for the region to find new prospective members, as well as, analyze member's activity data for events attended, volunteer activities, donations, etc. Your recommendation for a reporting system helping the regional PETA chapter manage and market PETA should:

• What types of data would be part of a supervised (structured) data mining system. Explain your choices.
• What types of data would be part of an unsupervised (unstructured) data mining system. Explain your choices.
• What information would you include part of an executive dashboard? For instance, descriptive graphics, predictive charts, and/or interactive diagnosis.
• Develop a sketch of how you would visualize this information as a mobile application for the managers to help them monitor their region and make decisions. Include it as an image or graphic in this file.