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Business Intelligence

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ISAS 640 9040 – Decision Support Systems and Expert Systems
Dr. Ashraf Shirani
Literature Review for Group 1

Group Members:
Leslie Allen
Joe Nimely
Oluranti Odofin
Gary Turner
The topic for the research paper will be business intelligence, most specifically the impact on privacy. The data gathered through various business intelligence technologies, while it may not be personally identifiable information such as name and/or social security number, the data provided to businesses gives them a greater insight into consumer behavior. This provides the businesses with information to leverage additional sales and services.
Businesses gather all kinds of data on consumers, often sharing with other related competitors, to obtain a better view of the consumer behavior, including trends and associations. The information obtained through business intelligence may or may not be personally identifiable, it may still be sensitive in nature. Does it cross the line ethically? Are there other techniques to gather this information while maintaining privacy for the consumer? In this paper, the ethical issues of privacy on business intelligence will be explored to determine if the business intelligence outweighs the intrusion on privacy.
Key concepts in this review include privacy, big data analytics, business intelligence, ethical awareness framework, data mining, hackers, and the Organization of Economic Cooperation and Development (OECD) guidelines.
Data mining is discovering knowledge from large amounts of data (Sharda, Delen, & Turban, 2015). Although primarily thought to be the sole responsibility of information technology (IT), it is not necessarily so (Berendt, 2007). The determination of what data is collected reaches beyond IT to the executive level as the managers ultimately are responsible for what information is requested, reasoning and...

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