Foundations Of Information Systems Management Summative Assessment: Value of Data: Analytics and Monetization As a leader who must understand the organization’s technical and business needs, you may h Original Papers

Foundations Of Information Systems ManagementSummative Assessment: Value of Data: Analytics and Monetization

As a leader who must understand the organization’s technical and business needs, you may help define the information systems and technologies needed to meet organizational objectives and then derive ways to digitize the organization. 

The process will entail decisions regarding what aspects of the business can or should be digitized. As part of this, decisions will need to be made as to what data to collect, where and how to obtain it, where to store it, how to analyze it, and how to employ it to bring value to the organization.

Write a 1,750- to 2,100-word paper about 1 type of data (e.g., customer, transactional, organizational, internal) collected by an entity (e.g., health care, retail, government, social media platform) of your choice. The paper should:

• Describe the means of identifying, collecting, storing, and analyzing the type of big data you selected.
• Describe best practices in identifying, collecting, storing, and analyzing big data. Include the roles of IT personnel, IST development methods, technology infrastructure, security, privacy, and ethics in your description.
• Summarize the value to be derived from monetizing the data.
• Recommend specific strategies for monetizing the data.
• Explain the role of cross-functional leadership approaches to provide business technology solutions for competitive advantage.
• Include a CDS-compliant title page.

Follow doctoral writing style standards.

Cite at least 3 academic sources to support your assignment.

Format your citations and reference list according to APA guidelines. Grading Rubric:1. Describe the means of identifying, collecting, storing, and analyzing the type of big data selected.

17% of total grade

• 2. Describe best practices in identifying, collecting, storing, and analyzing big data.

17% of total grade

• 3. Summarize the value to be derived from monetizing the data.

17% of total grade

• 4. Recommend specific strategies for monetizing the data.

17% of total grade

• 5. Explain the role of cross-functional leadership approaches to provide business technology solutions for competitive advantage.

17% of total grade

• 6. Doctoral Writing Style

5% of total grade

• 7. Support from Scholarly Sources

5% of total grade

• 8. Mechanics and APA Formatting

5% of total grade