MCIS 6123 Decision Science Research Assignment

MCIS 6123 Decision Science Research Assignment

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MCIS 6123 Decision Science Research Assignment

MCIS 6123, Decision, Science, Research, Assignment

Read and understand analytics dashboards

MCIS6123 Decision Science (Prof. Maull) / Spring 2020 / HW2 This assignment is worth up to 15 POINTS to your grade total if you complete it on time.

Points Possible Due Date Time Commitment (estimated) 15 Wednesday, May 6 @ Midnight up to 2 hours

• GRADING: Grading will be aligned with the completeness of the objectives.
• INDEPENDENT WORK: Copying, cheating, plagiarism and academic dishonesty are not tolerated by University or course policy. Please see the syllabus for the full departmental and University statement on the academic code of honor.

OBJECTIVES • Read and understand analytics dashboards, their implementation, contextualization and use in the real

world

WHAT TO TURN IN Please turn in a copy of a .docx, or .pdf file (Word Document a PDF) to Blackboard with the answers to the questions labeled with the § sign in each objectives section.

ASSIGNMENT TASKS (100%) Read and understand analytics dashboards, their implementation, contextualization and use in the real world

Analytics dashboards are all around us and in used in a number of meaningful ways. You are being asked to read an article about Civic Analytics and how cities are using analytics dashboards to not only see what is going on in their city, but also to make meaningful decisions about resource allocation, planning and even civic communication that is data-driven and based on up-to-date metrics.

The City of Boston, MA implemented a citywide analytics program to measure and monitor key metrics for the city council, mayor and broader citizen base to consume and interact with.

You are to read the case study Case Study | Boston’s Citywide Analytics Team: Leading the Way to a Data-Driven City written May 15, 2017 by Katherine Hillenbrand:

https://datasmart.ash.harvard.edu/news/article/case-study-bostons-citywide-analytics-team-1043

After you have read this relatively short article, please answer the questions below.

Why did the author say the “Citywide Analytics Team” was created by Mayor Walsh in 2014? What kinds of skilled experts were hired into the team when it was formed? How long did it take for the team to develop the initial dashboard for Boston’s performance data?

The article mentions that some cabinet and departmental dashboards were tied into strategic goals, but that some were using individual reports that were used to track another type of goal that we talked about in class. What was it?

What is City Score? What decision was mentioned in the article that used City Score to tangible expand city resources that was directly based on observed data?

What application software was the Analytics Team issuing training for in other departments in direct response to providing expanded skills development across departments as it related to City Score? Describe what Building Intelligence System was and how was it integrated into Boston’s 911 response system? How were predictive analytics being integrated into Inspection Services?

• Visit Boston’s City Score site https://www.boston.gov/innovation-and-technology/cityscore. The data appears to be last updated in November 2019, but look at the data and list one area of improvement the city could be paying more attention to and why? You should either use data from the Month or Quarter (QTR). Where is the city doing well? Justify your answer with data as your evidence.

RUBRIC
Excellent Quality 95-100%	Introduction 45-41 points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.		Literature Support 91-84  points The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.			Methodology 58-53 points Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score 50-85%	40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.		83-76  points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.			52-49  points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality 0-45%	37-1 points The background and/or significance are missing. No search history information is provided.		75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.			48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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