• Assignment 3: Creating Training Tools
  Due Week 9 and worth 200 pointsImagine your manager has requested that everyone in the company take the StrengthsFinder test. Now, your manager has asked you to put together a training tool on how to best coach and develop employees in the decision making process who have varied strengths.Write a three to five (3-5) page document for your manager in which you:
  1. Describe a decision-making process for employees with two different strengths. Determine how the process might be approached differently for each employee to produce the best results. Use scenarios to convey your idea.
  2. Explain how a manager could develop employees with different strengths. Use scenarios to convey your idea.
  3. Format your assignment according to the following formatting requirements:
     1. Typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
     2. Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page is not included in the required page length.

  The specific course learning outcomes associated with this assignment are:

  • Explain the decision-making process management uses to develop viable courses of action to a variety of management situations.
  • Explain the multiple aspects of the managerial planning process and the application of various business- and corporate-level strategies.
  • Use technology and information resources to research issues in management concepts.
  • Write clearly and concisely about management concepts using proper writing mechanics.

  Click here to view the grading rubric for this assignment.

• Assignment Help

  Click here to view a video on submitting a clickable rubric assignment

Recent Trends in Business Analytics

• Do some research on recent trends in business analytics such as Google Analytics, cloud computing, artificial intelligence, machine learning and so on.
• Focus on one trend and discuss its relevancy to your business or any business you would like to discuss.
• Consider how these analytics tools would impact business decision making.

Week 2: Respond to at least two of your classmates’ initial posts. Your response should be substantive and further the discussion. It is OK to be critical and use critical thinking. That means you can question what your classmates say. Do they provide their own critical thinking and logic?

Please provide at least 2 peer reviewed journals or articles in responding to the discussion post!

Minimum of 1 page response to each and please follow grading rubic and use critical thinking and logic!

Rubric Name: MBA/MSHRM/MSL Discussion Grading Rubric – Timeliness v1

1. Module 4 Discussion

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One of the recent trends in business analytics that I feel is relevant to most businesses is the use of Artificial Intelligence (AI). Artificial intelligence is the science aiming to make machines execute what is usually done by complex human intelligence (Ledied, 2017). This mean that AI is the use of complex computer programs to perform calculations and predictive analysis instead of using humans. AI is used to predict future trends and sales forecasts, and its use by various types of businesses and organizations is increasing. AI has allowed businesses to move from static, passive reports derived from historical events, to proactive analytics that allow the business or organization to monitor sales and trends on a real-time basis (Ledied, 2017). They are able to receive alerts and notifications when they are not meeting their goals or if something unexpected occurs. The use of AI gives businesses and organizations the ability to react on a day-to-day basis due to the real-time information it provides, and it gives them the ability to more accurately predict the future needs of their organization (Oswal, 2018). AI also gives the business or organization the ability to forecast future trends based off of information that would have seemed irrelevant in the past. AI can look at data that may have been ignored or not considered by humans when running an analysis. AI is also capable of incorporating larger amounts of data than a human could when predicting future trends and events. Another reason that AI is beneficial to businesses is that it saves time. AI programs can gather information, run an analysis, and make predictions in fractions of a second. These programs can also give up to the minute information, which is not possible when trying to be accomplished by humans. This technology is relevant to my line of business because it helps predict the future needs of my organization. It can determine the number of people needed for a project, the budget allowed for that project, how much time it will take to complete the project, and the materials necessary for the completion of the project. This gives my organization the ability to create better timelines and budgets and it helps determine how many people my organization will need to hire to accomplish future missions. AI is used, and will continue to be used, to track and predict sales, the amount of revenue received, and personnel and material required for future projects. It can also help predict which locations will perform the best and if an organization should expand into different locations. As the capability of AI grows, I feel that businesses and organizations will rely on it more and more to provide the data and analysis they require to operate on a day to day basis.

Reference

Ledied, M. (2017, December 13). Top 10 Analytics and Business Intelligence Trends for 2018. Business Intelligence. Retrieved fromhttps://www.datapine.com/blog/business-intelligence-trends/

Oswal, N. (2018, February 19). How AI is Transforming Business Intelligence. Retrieved from http://dataconomy.com/2018/ai-transforming-business-intelligence

2. Machine Learning – Time Series Forecasting

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posted Apr 12, 2018 9:10 PM

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Time series forecasting is a really interesting topic for me primarily because my role at work is intertwined with both short-term capacity analysts and long term forecasters who use time series forecasting. As my employer proudly advertises, they are always looking at ways to continuously improve processes. As part of my team’s initiative over the next years, I’m helping to guide my team into utilization into a new programming language called R in the hopes of using this coupled with machine learning to improve time series forecasting for our department. As we use this programming language, one of the interesting parts of this is the automation of some roles within my company. Without going into much detail, automation is playing a huge role in corporate America and Machine Learning is playing a large part in this. There aren’t any areas that come to my mind that aren’t candidates for automation with machine learning.

One of my co-workers recently informed me that he designed a new long term time series forecasting program that ran multiple types of forecasting methods and plotted them against each other to see which was the most accurate. His next steps were to automate this process using machine learning so others could use this as well. The interesting part here is to see if there will be less of a need for human hiring vs machine learning curators overseeing this type of work. I think these types of machine learning tools would be very helpful in the longevity of a company in predicting certain types of oncoming events that normally take many hours of work.

An interesting thing in the future will be to see how well these machine learning methods compare to long term forecasting methods. In my research, one of the noted limitations is that machine learning for medium and long-term forecasting doesn’t exists, where it only exists one step ahead of short term forecasting (Massimakopoulos, Makridakis, & Spiliotis, 2018). What I think in this realm will be helpful is to be able to see how much “faith” is put into these types of environments, where humans used to be the end-all decision makers. I think going forward one thing I will also be interested in seeing is how much decision making will these machine learning methods be able to make without human contribution. I feel like these tools would impact business decision making in-so much as the accuracy would warrant – if there wasn’t a great deal of accuracy, then I don’t foresee these impacting decision making tremendously at all.

Reference

Makridakis, S., Spiliotis, E., & Assimakopoulos, V. (2018). Statistical and machine learning forecasting methods: Concerns and ways forward. PLoS One, 13(3) doi:http://dx.doi.org.ezproxy.trident.edu:2048/10.1371/journal.pone.0194889

3. “AI” obviously would be at the top of the list when it comes to business analytics. But I’m a huge fan of The Terminator series, and we all know how serious Skynet is in the movies. I am, however, interested in Natural Language Processing. According to Lebied (2017), “It is based on linguistics and deep learning, a type of AI that works with pattern recognition to improve the program’s understanding by analyzing massive amount of data to find correlations that are relevant.” (Business Intelligence) I’m a firm believer in connecting people and making sure everyone has a job. I find it disturbing that someone would have a computer do the job a human could do, just to save the company money. With the NLP, whichever business elects to incorporate this branch of AI into their business, would be opening the gates to better understanding of the foreign partners. It’s understood different cultures and languages have different styles and meanings of speaking. For example, someone from Colombia speaking their native language, may speak with a different level of passion within their sentence. Who is to say someone in America would not be able to pick up on that passion? With the implantation of NLP in some type of system like Skype or something, there would be a better understanding between the language barriers.

References

1. Lebied, M. (2017). Top 10 Analytics and Business Intelligence Trends for 2018. Datapine.

Retrieved from https://www.datapine.com/blog/business-intelligence-trends/

Nearly all projects produce lessons learned, many of which have applications to other current or future projects. While these lessons may be shared at any point during a project, a lessons learned meeting should be held at the end of every project. Using the project from this week’s first discussion, prepare an overview for a final lessons learned meeting that shows the important points you will discuss.

Your presentation will consist of two slides. The first slide will feature bullet points that briefly describe the lessons learned. The second slide will feature bullet points that describe how the lessons may be of use to other current or future projects. Each of these slides must contain speaker notes and 3 to 4 bullet points. Add a title slide and a reference slide showing at least one source used to prepare your assignment. Attach your slides to the discussion forum as a Microsoft PowerPoint presentation.

This project asks you to analyze the arguments that two stakeholder organizations make about their conflicting views on a given issue. You will find common ground between their two viewpoints, and suggest a compromise that both stakeholders can actually do.

These guiding questions will help you choose two specific stakeholder organizations with seemingly incompatible viewpoints about an issue. After you have answered the questions, use the rest of the assignment sheet to start drafting your paper, or follow your instructor’s directions.

• List at least ten stakeholder groups that have a voice or viewpoint on your topic.
• Choose four specific stakeholder organizations and write their slogans or mission statements. You can find slogans or mission statements on the organization’s website. Be sure to cite your sources.
• Analyze two stakeholder organizations that seem to have conflicting viewpoints on your topic. What are their viewpoints, and how are they different?
• Stay with your two stakeholder organizations from question 3. What do they have in common? Describe the goals or values that the organizations share.
• Given the shared goals and values that your two organizations share, describe a part of your topic that they could both agree on—that’s your common ground.
• Explain how your two stakeholder organizations could achieve a compromise. What would each stakeholder organization have to contribute? What would each stakeholder organization have to give up?
• What needs to happen to accomplish your compromise? Prove that your compromise will actually work using research.

Unless your instructor has told you otherwise, you should begin drafting your argument below. Write a draft of your thesis statement and 250 words about your stakeholder organizations, their common ground, and your proposed compromise.

after you read the instruction write about my topic

( My topic is about Fast food and obesity in United States)

My topic is on Bullying. I did my service learning at a high school and we spoke about the negative effects that bullying has on students.

Instructions: Write a research paper on a topic related to your service project. To do so, formulate an inquiry-based research question and answer it by combining your own analysis of the subject with information from reliable sources. Your research question may be on any specific, debatable topic related to your service.

These are sample questions only. You should form your own question related to your service learning project and based on a topic that interests you (remember that the topic is related to, not necessarily about, your service learning). Make sure your topic is debatable (reasonable people could disagree on the best way to answer your question) and manageable (you can adequately address it in a 5-8 page paper).

You must conduct research and cite at least four sources in your final paper. Two must be scholarly sources from the MDC library databases, and one must be an interview or survey conducted by you. Your fourth source may be from a reliable website. Include a correctly formatted MLA Works Cited page and in-text citations, and use MLA formatting throughout. This paper should be 5-8 pages long.

(I attached a file down below. It’s an outline for the essay, the essay doesn’t have to be exactly like the outline I just attached it so you can have an idea of what I want)