MIS 111 Lecture Notes - Lecture 10: Major Appliance, Business Intelligence, Window Film

• School: University of Arizona
• Department: Management Info Systems Main
• Course: MIS 111
• Professor: Mark Patton, William Neumann

Document Summary

Being efficient in terms of extracting values. Why big data is a priority for business. The business value of data mining and business intelligence solutions. The types of answers the strategies and methods used in data mining can find. Video case study harnessing the power of data. More data more information enables you to do more. Veracity how do we know that that data is correct: use analytics, what is going on in your business, must have. Improve outcomes: how do you use analytics to fix your biggest business problem, get the data that is relevant to that big business problem and then move on. Exploitation of actionable patterns in business data. A spiral methodology for the data mining process. Feature extraction the data that s important ends up being visible. Major effort of business is data collection. Data-mining and olap tools are often directly integrated into crm applications.