Course Outline

MISA 521 : Assuring Information Integrity in Data Warehousing/Mining

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Last approved: Wed, 20 Jan 2016 14:10:24 GMT

Last edit: Wed, 20 Jan 2016 14:10:23 GMT

MISA 521-WW
Campus
Worldwide
College of Business (WBUAD)
MISA
521
Assuring Information Integrity in Data Warehousing/Mining
3
Information Integrity has been defined in many ways, but perhaps the simplest and most effective definition is that "integrity" is the measure of how complete and correct the information is, how timely it is, and whether it is made available to you how and where you need it to do your job when you need to do it. Implicit in that definition are concepts like protecting the data from access by others, either for unauthorized purposes, or to protect the objectives the data supports from corruption or interruption. When organizational information scales up from in-house data bases to data warehousing operations, however, these leaps in volume and complexity bring with them even more data and information integrity issues. This course helps prepare the student to address the fundamental issues of availability, reliability, suitability -- "fitness for purpose" -- of the information their organization wants to find in their data warehousing and mining operations. It introduces key concepts in data quality assessment, and helps the student make the business case for instituting data and information quality and integrity as part of data warehousing and data mining operations. Prerequisites: MISA 501 and MISA 502, or approval of the Program Chair

This course helps the student bridge the understanding gaps between the IT experts in the organization, and the line operational managers and senior leaders, when it comes to making the business case for information and data integrity projects. Data warehousing is notorious for its ability to agglomerate huge amounts of data from many different sources, without really paying much attention to the quality or integrity of that data in the warehouse. But as this course demonstrates, a combination of processes can be used to measure or assess information integrity, gauge the potential impacts that poor-quality data might have on organizational objectives, and determine better ways to deal with these risks.

Explain the important distinctions between enterprise databases and data warehouses. Explain the impacts to organizational objectives of various legislative and regulatory requirements regarding protection of data. Construct a compelling business case for a data warehousing information / data quality assessment, in the context of overall information risk management. Plan, conduct, and review the results of a data warehouse information quality assessment. Explain the role of data abstraction, and how it assists both the builders and users of data warehouses, and managers who rely on its findings, in achieving organizational goals and objectives.

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Written assignments must be formatted in accordance with the current edition of the Publication Manual of the American Psychological Association (APA) unless otherwise instructed in individual assignments.

ActivityPercent of Grade
Input Grading Item100

Undergraduate Grade Scale

90 - 100% A
80 - 89% B
70 - 79% C
60 - 69% D
0 - 60% F

Graduate Grade Scale

90 - 100% A
80 - 89% B
70 - 79% C
0 - 69% F
Steve Chadwick - 2/24/2015
chadw202@erau.edu
Wendi Kappers - 2/24/2015
KAPPERSW@erau.edu
Aaron Glassman - 2/24/2015
glassf10@erau.edu
Dr. Bobby McMasters - 2/24/2015
mcmas245@erau.edu
PO#NameDescription
1-5 Master of Science in Information Security and Assurance Understand the interdisciplinary aspects (technical, business, management, and policy) of information assurance and information systems and organizational security.
2. Assess and manage the identification of and response to the changing nature of the information risks and information security challenges that increasingly complex, distributed organizations face.
3. Establish governance policies and management mechanisms necessary to develop, acquire, and operate sustainable, cost-effective secure information infrastructures.
4. Integrate various ethical, legal, technological and professional perspectives, both local and global, along with data protection and information assurance perspectives, throughout the various MIS decision making and managerial and leadership processes
5. Manage and direct the development and operational use of information security and assurance procedures, policies and technologies throughout the organization.
Key: 333