INFORMATION TECHNOLOGY AUDITING AND ASSURANCE

INFORMATION TECHNOLOGY AUDITING AND ASSURANCE
MGT 278B

Data, Databases and More

Background:
It is all about data. In the end, data drives business processes and business decisions from what to buy and what to make to what to sell and how to sell it. Data are the artifacts of business.
Assignment:
1. Distinguish among the following terms and concepts:
a. Big Data
b. Business Intelligence
c. Data Analytics
d. Data Governance
e. Data Management
f. Data Modeling
g. Data Quality
h. Data Visualization
i. MasterData Management (MDM)
j. Predictive Analytics
k. Content Management
l. Document Management
m. ETL (Extract Transform Load)
2. Describe Data Quality in your own words. Include the following information:
a. What framework or frameworks provide guidance about Data Quality?
b. What does the Data Management Association say about Data Quality?
c. What attributes does Data require to have Data Quality?
d. How do automated systems ensure Data Quality?
e. What controls are built into automated systems to ensure Data Quality?
f. What are API’s (Application Programming Interfaces)? Why are they important for Data Quality?
g. Identify different techniques for handling “invalid” data to ensure Data Quality.
3. What roles can IT Auditors play in ensuring Data Quality?

NOTES:
Everyone is expected to do THEIR WORK according to the requirements of the UCR Academic Integrity policy.
This means acknowledging where yourinformation camefrom.
Provide citations for quotations and for ideas or outlines that are substantially someone else’s work.
Extra points will be given for citing original sources. For example, if the New York Times quotes an article first published elsewhere. Find the original article and cite it in your workproduct.
The best approach is to say everything in your own words.
Submit this exercise in the form of a memo or report that would be suitable to submit to a CIO (Chief Information Officer) in your role as an Internal IT Auditor.