13 May CHARACTERISTICS OF INFORMATION AND QUALITY OF DATA
CHARACTERISTICS OF INFORMATION AND QUALITY OF DATA
Too often, managers and information workers are constrained by data that cannot be trusted. It is incomplete, out of context, outdated, inaccurate, inaccessible, or so overwhelming that it requires weeks to analyze. In those situations, the decision maker faces too much uncertainty to make intelligent business decisions. Knowing the characteristics of information and understanding which is most important to an organization will help you to effectively create, implement, and maintain information.
Organizations are increasingly challenged by the quantity of data being generated on a daily basis. Disk space seems to no longer limit how much data can be generated and stored, but managing huge volumes of data requires a systematic approach, regardless of the size of the organization. Further, data can be located within a variety of devices, including personal devices not under the control of the organization.
RESOURCES
Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.
WEEKLY RESOURCES
To prepare for this Discussion:
• Consider the characteristics of information (such as accuracy, timeliness, completeness, and relevancy) that are important to organizations.
• Reflect on which of these characteristics are most important for an organization with which you are familiar.
BY DAY 3
Post a 300- to 400-word evaluation in which you:
• Explain which characteristic of information is most important for an organization with which you are familiar. Justify your response.
• Describe approaches an organization might use to manage data, data structures, and databases. Share experiences from your own working environment, where possible.
Refer to the Week 4 Discussion Rubric for specific grading elements and criteria. Your Instructor will use this grading rubric to assess your work.
Read a selection of your colleagues’ postings.
Be sure to use APA formatting throughout and support your work with specific citations from this week’s Learning Resources and any additional sources.
LEARNING RESOURCES
Required Readings
• Turban, E., Pollard, C., & Wood, G. (2021). Information technology for management: Driving digital transformation to enhance local and global performance, growth and sustainability (12th ed.). Wiley.
o Chapter 3, “Data Management, Data Warehouses, and Data Governance” (pp. 66–106)
o Chapter 6, “Business Intelligence, Data Science, and Data Analytics” (pp. 199–248)
Required Media
• Walden University, LLC. (2016). Databases and trends in managing data [Video]. Walden University Canvas. https://waldenu.instructure.com
• Absolute. (2019, February 12). Data privacy explained | cybersecurity insights #11Links to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=3YIPQrEWOeY
Note: The approximate length of this media piece is 3 minutes.
• Edureka. (2020, April 10). What is big data | big data in 2 minutes | introduction to big data | big data training | EdurekaLinks to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=UQeyU0YcPKY
Note: The approximate length of this media piece is 2 minutes.
• IBM. (2016). Designing a database [Video]. Walden University Canvas. https://waldenu.instructure.com
Note: The approximate length of this media piece is 7 minutes.
• IBM. (2016). Relational schemas [Video]. Walden University Canvas. https://waldenu.instructure.com
Note: The approximate length of this media piece is 7 minutes.
• Marr, B. (2019, March 29). How do you use big data in business by Bernard MarrLinks to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=-zRJZt12Ii4
Note: The approximate length of this media piece is 3 minutes.
• MeasuringTheDigitalWorld. (2016, January 27). Big data explained: Beyond the hype to the analytics challenges of big dataLinks to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=8rcXbpE9dN4
Note: The approximate length of this media piece is 14 minutes.
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