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Pages:
1 page/≈275 words
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Style:
APA
Subject:
IT & Computer Science
Type:
Essay
Language:
English (U.S.)
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Date:
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Topic:

Communicating Data through Customized Data Analytic Presentations

Essay Instructions:

"Communicate with professionalism, accuracy, and transparency using interactive and dynamic visualization tools to translate technical information and offer effective solutions to organizational stakeholders."
Using Course Outcome Three as a guide, reflect on the process of designing your presentation. Consider that much of the data analytic process occurs "behind the scenes." How can you show value to those in less technically oriented parts of your organization? Stakeholders' needs will vary across the organization. How might you tailor presentations to meet the needs of the IT department? Your peers? Management? Describe how you will apply these thoughts to your data analytic presentation, due in the next module.

Essay Sample Content Preview:

7-3 Journal: Communicating Data
Student Name
Course ID
Instructor
Institutional affiliation
Communicating Data
Data communication requires utmost professionalism, accuracy, and transparency. Thus the use of interactive and dynamic data visualization tools is not only critical but essential. One reason is that it requires the translation of technical information into a simple language that can be understood across the board. The use of targeted communication is essential in achieving effective solutions that are multi-stakeholder-focused given the varying knowledge levels across the company (Stallings, 2012). To achieve this endeavor, presentations should be tailored to the various stakeholder and departmental needs. Therefore, data analytic presentations will be customized to the needs of departments, peers, and management.
In the upcoming data analytic presentation, the data analytic process will be customized to suit the multi-stakeholder communication needs. This is due to the primary role of the data analytic component in the project. Specific data visualization techniques will be used for each target audience since different audiences have varying data analytical needs. Still, employees and departments have disparate levels of knowledge. Effective multi-stakeho...
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