Sign In
Not register? Register Now!
Pages:
5 pages/β‰ˆ1375 words
Sources:
No Sources
Style:
MLA
Subject:
IT & Computer Science
Type:
Coursework
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 36.45
Topic:

The Company's Sectors Fall Short of the Company's Target Sales

Coursework Instructions:

Please upload your response to the lecture on Data Science in the Manufacturing Sector (Lecture 10: Andrew Loeb and George Baggs) answering the base questions asked in the course information. In addition, describe in your own words one of the case studies that was presented and the solution that was developed to solve the problem. (50 points of the 80 C+R points in the rubric)
prepare a short (~2-3 pages, 12 point single space) report that addresses as many of the following questions as are relevant:
• Describe the market sector or sub-space covered in this lecture.
• What data science related skills and technologies are commonly used in this sector?
• How are data and computing related methods used in typical workflows in this sector? Illustrate with an example.
• What are the data science related challenges one might encounter in this domain?
• What do you find interesting about the nature of data science opportunities in this
domain?
In addition,
(i) In the case studies, the speaker illustrates applications of ML for analyzing process and experimental outputs. Describe one application in your own words, the problem to be solved, and the solution presented (15 pts of the 80 C+R points in the rubric)
(ii) Both Supervised and Unsupervised Machine Learning approaches are used in the case studies presented by the speaker. Explain in your own words the differences between Supervised and Unsupervised Machine Learning approaches and provide examples. (15 pts of the 80 C+R points in the rubric)

Coursework Sample Content Preview:
The Company's Sectors Fall Short of the Company's Target Sales
The industrial market segment that is primarily shown in the film is the one that manufactures hydraulic components used in U.S. aircraft and defense systems, including military vehicles, missiles, naval platforms, air defense, launch vehicles, spacecraft, and surveillance. The business also supports and manufactures equipment for commercial uses, including wind energy, medical technology, and motorsports. The MOOG Company is an American-based manufacturer and designer of all hydraulic motion systems to system controls that are extensively used in a nation's military. They also produce this kind of equipment for general usage in places like power plants and car motors.
This market sector is enormous as companies that need such advanced technology are the government and other large companies that can spend millions of dollars quickly. According to an article posted by Cision (2022), from 2021 to 2026, the industrial services market is projected to expand by USD 11.37 billion. According to the most recent market report that focuses on the industrial company by Technavio, the growth pace is projected to slow down at a CAGR of 5.29 percent. In order to compete in the fragmented industrial services industry, suppliers are using both organic and inorganic growth strategies, which encompass all industrial materials without a specification. The military is the primary industrial sector that the MOOG is concentrating on, with only a limited amount of public usage.
With such a vast market, data analysis will be a fantastic asset to determine whether some of the company's sectors fall short of the company's target sales. Data science skills with such a broad understanding of architectural programming are required for this kind of sector. As mentioned in the presentation, communication is crucial in this market sector because the government is one of the company's other partners. By enhancing the company's data analytics, it will be more dependable and sturdier than it was before. The organization is working to improve its reputation as a trustworthy company; thus, maintaining that reputation requires a safe and secure algorithm.
Tracking the schedule of projects and deliveries, which should be made with such a large facility and a number of people scheduling their time, salary, and work, will be difficult and require a lot of computing power. Data analysis and computing shall be helpful in the everyday workflow of the companies. When a company's schedule is well-planned, a growing number of projects will be completed, resulting in significant profit and time savings. Data analysis would then be computed to disperse the workforce and the number of hours the workers will work each day, for example, if a project that required 100 specialists and laborers was scheduled to be completed the following month.
Partial data are the most significant issue the analyst will encounter because data are the foundation of all information in this market sector. Partial data can alter the predicted conclusion, and when large quantities of partial data build throughout a process or course of action, it becomes difficult to forecast the outcome since the data are deemed useless and have no val...
Updated on
Get the Whole Paper!
Not exactly what you need?
Do you need a custom essay? Order right now:

πŸ‘€ Other Visitors are Viewing These MLA Coursework Samples:

HIRE A WRITER FROM $11.95 / PAGE
ORDER WITH 15% DISCOUNT!