Category: Data Analytics

Topic: Antecedents and consequences of the adoption of AI-driven supply chain
Mediator: Adoption of AI-driven SC Exogenous/Independent variable: Performance expectancy, effort expectancy, social influence, and facilitating conditions
Moderator: Resources readiness
Data collection: From middle to top managers working in Saudi SC firms through Google Forms-enabled virtual survey.
Data collected will be shared once tutor selected from 100 participants for 25 questions

As per my teacher you have to rectify errors in my document by doing SPSS analysis. Teachers comments are in attached document.

As per my teacher you have to rectify errors in my document by doing SPSS analysis. Teachers comments are in attached document.

There are 10 questions in total. If you don’t get the questions, you can take separate screenshots.
There are five more pictures to upload later

Use this info to draw a business diagram if you think you can add something go ahead and do it.
[Client approaches the bank]
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V
[Client chooses the method of contact: branch, website, mobile app]
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V
[Application is directed to the decision-making unit]
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V
[Bank’s automated system checks the client and returns a response]
|
V
[Decision-making unit contacts the credit bureau for credit history check]
|
V
[Decision-making unit contacts the risk assessment department]
|
V
[Bank evaluates the client’s financial situation]
|
V
[Bank offers the client optimal loan or credit terms]
|
V
[Client agrees to the proposed terms]
|
V
[Bank makes a decision on granting the loan or credit]
|
V
[Bank disburses the loan or credit to the client]

hello everyone , i hope y’all are good,, these are the Instructions :Avoid plagiarism, the work should be in your own words, copying from students or other resources without proper referencing will result in ZERO marks. No exceptions
All answered must be typed using Times New Roman (size 12, double-spaced) font. No pictures containing text will be accepted and will be considered plagiarism).·
must mention question number clearly in their answer.·
Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between words, hide characters, use different character sets, convert text into image or languages other than English or any kind of manipulation).

Do all the Module 1 and Module 2 exercises.You will need my log in to do them. You can find them on courses – Data Analysis – Modules and do the Module 1 (watch the video) then exercises and then module 2. (I have attached what you have to do.
Read MindTap Module 1: Creating a Worksheet and a Chart
_____ View Lessons | Module 1: Creating a Worksheet and a Chart
_____ Read MindTap Module 2: Formulas, Functions & Formatting
_____ View Lessons | Module 2: Formulas, Functions & Formatting
_____ Complete SAM Trainings Excel Module 1 & 2
_____ Complete SAM Exams Excel Module 1 & 2
_____ Complete End-of-Chapter Project 1 Module 1 & 2
_____ Complete Project 1b Module 1 & 2

Team – B: [Every document and screenshot should be named as ‘Team-B’]
Overview:
This week you will work with your group on your final project.
Objectives
Apply concepts learned about Hadoop Ecosystem
Apply concepts learned in data preparation to preprocess data
Construct an external table using basic SQL commands in BigQuery
Develop queries in BigQuery.
Construct a well-defined schema using basic HQL commands in Hive
Develop queries in Hive
Develop queries in Spark
Instructions
Each group will research their assigned use case. They will select a static dataset and streaming data source from the approved list provided or locate another and obtain the instructors’ approval.
Each group will create an executive summary. This summary should be between 400 and 550 words, not including the title page, references, or other supporting documents. It should read like a summary of your presentation, giving the use case project, stepping through the data lifecycle, identifying tools/applications used during certain phases of the data lifecycle, and concluding with the next steps for the data science or analyst teams. The executive summary is in Times New Roman, 12-point, with one-inch margins.
Each group will create a document with screenshots that includes the project and storage they created for their use case in GCP, setting up their Hadoop ecosystem, performing data processing with their static and streaming data, and performing queries in BigQuery, Hive, and Spark to ensure the quality of their data for the data science or analysts teams. Through each step, the team will take screenshots of their work and present them in a word document with brief explanations of the screenshots. The desciption should include the application used, the task performed, and why it was performed. Do not include how-to instructions.
Each group will create a presentation that tells a story using the data lifecycle as a guide, and they will present their work during the designated time. You may be creative with the presentation with PowerPoint. The presentation is a professional business presentation. Each member of the group should speak. After the presentation, the group will entertain questions from the audience. The presentation should be at least 10-15 minutes in length.
Meeting_Notes_Template:
I have provided the ‘Meeting_Notes_Template.docx’, please fill the provided template.
Approved Data Sources:
I have provided ‘Approved Data Sources.pdf’ please select a two datasets from any USE CASES Approved Data Sources provided in the pdf.
PPT and Word:
Topic: Use cases from the discussion post
Data: Use approved data sources (two or more)
Executive Summary (25%): This paper should be between 400 and 550 words, not including the title page, code, and references.
Screenshots (25%): These screenshots should show how you applied what you learned. Create a new project in GCP for this use case.
Presentation (50%): The group will present
Grading: This project is worth 20% of your final course grade. The Executive Summary will comprise 25% of this grade, screenshots 25%, and the presentation will be 50%
Document Type: Word and PPT
Executive Summary Requirements:
400 to 550 words, not counting the title page, references, or supporting documents.
Title page: Organization Name, Logo, Use case, group number, and group members
Introduction: Introduce the use case and its purpose (Example: Data Engineering Request)
Body: Step through the data lifecycle with your use case and the tasks you did
Conclusion: Summarize and discuss the next steps for the data science and analyst teams
Double-spaced Word Document
References
Application Screenshots Requirements:
GCP project & storage
Hadoop
OpenRefine
BigQuery
Hive
Spark
Include an explanation (3-10 sentences) with the screenshots telling the application used and the task performed.
Supporting Documents:
Reference page
Meeting notes or Task board
Data Sheet – List of Data sources and any
additional information such as the website
address
Other documents
Word Document
Meeting Notes Template:
Date:
Start and End time:
Attendees:
Note-taker:
Notes:
Decisions:
Action Items:
Task board:
Create a Task board using MS Teams – Planner,
Excel, or Word
Task board Columns
To-Do
In Progress
Review
Done
Task Info: Description, Owner, Due Date
Presentation Requirements:
Business casual
TELL A STORY
Every group member must present
10-15 minutes to present
2 minutes for questions
10-20 PowerPoint Slides
Title page: Organization Name, Logo, Use case, group number, and group members
Outline or Agenda
Every step of the data lifecycle – No definitions
Hive and Spark SQL comparison chart
A few of your screenshots (No more than 5)
Cite the source on the slide if not your own words
Word document regarding rubrics instructions.

Sure, here’s an example outline for a CRJ101 (Introduction to Criminal Justice) course at Strayer University, focusing on Week 4’s topic: “Modern Day Policing, Society, And The Future”:
I. Introduction to Modern Policing
Definition and Evolution of Policing
Historical Context: From Early Forms to Modern Law Enforcement
II. Contemporary Issues in Policing
Police-Community Relations
Use of Force and Police Brutality
Racial Profiling and Bias in Policing
III. Technology and Policing
Role of Technology in Law Enforcement
Surveillance and Privacy Concerns
Predictive Policing and Data Analysis
IV. Challenges and Opportunities
Mental Health and Policing
De-Escalation Techniques
Community Policing Models
V. Future Trends in Policing
Policing in the Digital Age
Predictions for Law Enforcement Practices
Potential Impact of Societal Changes on Policing
VI. Case Studies and Examples
Analysis of Recent Policing Incidents
Success Stories in Community Policing
Innovations in Law Enforcement Technology
VII. Discussion and Reflection
Group Discussion: What are the most pressing issues in modern policing?
Reflective Exercise: How can individuals contribute to positive changes in policing?
VIII. Conclusion
Summary of Key Concepts
Importance of Adaptation and Reform in Policing
IX. References
Scholarly Articles, Books, and Reports
Relevant News Sources and Websites
This outline provides a structured approach to explore various aspects of modern policing, from historical perspectives to future trends, while encouraging critical thinking and discussion among students. Each section can be further expanded with readings, multimedia resources, and interactive activities to enhance student engagement and understanding.

Team – B: [Every document and screenshot should be named as ‘Team-B’]
Overview:
This week you will work with your group on your final project.
Objectives
Apply concepts learned about Hadoop Ecosystem
Apply concepts learned in data preparation to preprocess data Construct an external table using basic SQL commands in BigQuery Develop queries in BigQuery. Construct a well-defined schema using basic HQL commands in Hive Develop queries in Hive Develop queries in Spark
Instructions
Each group will research their assigned use case. They will select a static dataset and streaming data source from the approved list provided or locate another and obtain the instructors’ approval. Each group will create an executive summary. This summary should be between 400 and 550 words, not including the title page, references, or other supporting documents. It should read like a summary of your presentation, giving the use case project, stepping through the data lifecycle, identifying tools/applications used during certain phases of the data lifecycle, and concluding with the next steps for the data science or analyst teams. The executive summary is in Times New Roman, 12-point, with one-inch margins.
Each group will create a document with screenshots that includes the project and storage they created for their use case in GCP, setting up their Hadoop ecosystem, performing data processing with their static and streaming data, and performing queries in BigQuery, Hive, and Spark to ensure the quality of their data for the data science or analysts teams. Through each step, the team will take screenshots of their work and present them in a word document with brief explanations of the screenshots. The desciption should include the application used, the task performed, and why it was performed. Do not include how-to instructions.
Each group will create a presentation that tells a story using the data lifecycle as a guide, and they will present their work during the designated time. You may be creative with the presentation with PowerPoint. The presentation is a professional business presentation. Each member of the group should speak. After the presentation, the group will entertain questions from the audience. The presentation should be at least 10-15 minutes in length.
Meeting_Notes_Template:
I have provided the ‘Meeting_Notes_Template.docx’, please fill the provided template.
Approved Data Sources:
I have provided ‘Approved Data Sources.pdf’ please select a two datasets from any USE CASES Approved Data Sources provided in the pdf.
PPT and Word:
Topic: Use cases from the discussion post
Data: Use approved data sources (two or more)
Executive Summary (25%): This paper should be between 400 and 550 words, not including the title page, code, and references.
Screenshots (25%): These screenshots should show how you applied what you learned. Create a new project in GCP for this use case.
Presentation (50%): The group will present
Grading: This project is worth 20% of your final course grade. The Executive Summary will comprise 25% of this grade, screenshots 25%, and the presentation will be 50%
Document Type: Word and PPT
Executive Summary Requirements:
400 to 550 words, not counting the title page, references, or supporting documents.
Title page: Organization Name, Logo, Use case, group number, and group members
• Introduction: Introduce the use case and its purpose (Example: Data Engineering Request)
Body: Step through the data lifecycle with your use case and the tasks you did
Conclusion: Summarize and discuss the next steps for the data science and analyst teams
Double-spaced Word Document
References
Application Screenshots Requirements:
GCP project & storage
Hadoop
OpenRefine
BigQuery
Hive
Spark
Include an explanation (3-10 sentences) with the screenshots telling the application used and the task performed.
Supporting Documents:
Reference page
Meeting notes or Task board
Data Sheet – List of Data sources and any
additional information such as the website
address
Other documents
Word Document
Meeting Notes Template:
Date:
Start and End time:
Attendees:
Note-taker:
Notes:
Decisions:
Action Items:
Task board:
Create a Task board using MS Teams – Planner,
Excel, or Word
Task board Columns
To-Do
In Progress
Review
Done
Task Info: Description, Owner, Due Date
Presentation Requirements:
Business casual
TELL A STORY
Every group member must present
10-15 minutes to present
2 minutes for questions
10-20 PowerPoint Slides
Title page: Organization Name, Logo, Use case, group number, and group members
Outline or Agenda
Every step of the data lifecycle – No definitions
Hive and Spark SQL comparison chart
A few of your screenshots (No more than 5)
Cite the source on the slide if not your own words
Word document regarding rubrics instructions.