196850-483870ASSIGNMENT COVER PAGE
196850-483870ASSIGNMENT COVER PAGE
00ASSIGNMENT COVER PAGE
DATA ANALYTICS AND MODELLING
COURSE/ UNIT INFORMATION
Course Master of Business Administration
Course Level Masters
Module Name Data Analytics and Modelling
ASSIGNMENT INFORMATION
Formative Assignment/Summative Assignment FORMATIVE ASSIGNMENT
Faculty Ms. Annmol Cherian
TO BE FILLED BY THE STUDENT
Student Name Student ID Email ID Date Submitted
MARKS DIVISION
For the reference of the Learners Only. The total marks of both assignments will get the grade as per the descriptors.
NB: The Turnitin will be checked by the assessment team, the report need not be generated from the students side.
Assessment type Marks
FORMATIVE ASSIGNMENT SHORT ANSWERS 40
SUMMATIVE ASSIGNMENT REPORT 60
Overall Marks 100
GRADE DESCRIPTORS
GPA GRADE MARKS (Out of 100)
4 A+ 97-100
3.9 A 94-96
3.7 A- 90-93
3.3 B+ 87-89
3 B 84-86
2.7 B- 80-83
2.3 C+ 77-79
2 C 74-76
1.7 C- 70-73
1.3 D+ 67-69
1 D 64-66
0.7 D- 60-63
0 F Below 60
Module Description
This module is designed to inform and help the students, gain adequate awareness of the various
aspects of data through an understanding on the evolution of analytics, business intelligence, and modelling techniques for the organizational decision-making process. The application-based module is going to contribute to help the learners in introspecting and learning about the data analytics practices executed in the business world. Understanding of key areas such as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish shall provide learners with an opportunity to better position themselves for success and contribute for organizational development.
Learning Outcomes
LO1:Demonstrate an understanding about data, business intelligence and different types of data analytics techniques, process, along with adaptation of business intelligence models for business management.
LO2: Discuss the statistical techniques for data analytics and their relevance to business decision-making. Apply this discussion to business departments.
LO3: Gain an in-depth understanding of data modelling, its types and application processes.
LO4: Design tested and effective advanced analytics models and simulations for decision-making.
Expectations
Materials Access
All learning materials are provided in the form of a module kit and can be accessed from the Learning Management system (LMS)
Learning Hours
Students need to be aware of their commitment requirements regarding study time. To give you an indication of that, we have based the following information on the Malta Higher Education Quality Assurance Agency guidelines. The notional learning hours associated with qualifications, programmes and individual units of study are based on a broad agreement across institutions that students can expect to spend 10 hours learning on average in order to gain one academic credit unit (QAA 2006).
Re-sit
If you do not secure a pass when calculated from both the assignments, please read closely the feedback and speak with your Course leader(s) or faculty. After consulting the feedback, close attention is essential to rework on the areas of weakness, and then resubmit the work at the next opportunity. As per the QAA requirements, only one REDO is allowed where the marks will be capped at a Pass.
Plagiarism
All forms of plagiarism are taken seriously, and any suspected cases will be investigated thoroughly. If a case is found proven, then the work will be graded as a failure and the case will be reviewed by the academic committee. The assessment team checks the Turnitin before the evaluation of the assignment is undertaken.
Student appeals
There are no re-evaluations as the marks are graded and internally verified before release for both the assignments. However, as per our appeals policy, a student can make an appeal to the course leader which will be then reviewed by the academic committee (please check our academic policies and procedures manual for more information)
Assignment submission extensions
Students can apply for extensions via the LMS based on extenuating circumstances (if any) with evidence (proof) as per our extensions policy.
General Guidelines
Complete the To be filled by the student section in the cover page.
Both the assignments must be submitted as an electronic document in required format via the LMS
There are no criteria for PPT as you can be as creative as possible. For the word document Use 12 Times New Roman script with 1.5 spacing between lines.
The results are declared only if the student has met the mandatory attendance requirement of 75% and/or minimum 50 % under extenuating circumstances approved and ratified by the academic committee and the examination board.
The students have to submit both Formative and Summative Assignments to score a minimum of 60% to clear the module.
The assignment should not contain any contents with references cited from websites such as ukessays.com, styudymode.com, slideshare.net, scribd.com, Wikipedia but should contain references/citations from credible academic journal and articles.
Submit the assignment on the LMS with the file name being: First Name Last Name _ Module Abbreviation_Type of assignment. For example: John Smith_DAM_FormativeChecklist
I have filled the student Information columns below.
The assignment is checked for being Formative/Summative and is being submitted accordingly.
I have strictly followed Harvard Referencing Style and Citations.
Formative Assignment Grades
Sno. Task Grade Comments
1 Explain the meaning of Business intelligence. Give one real-life example and explain the use of Business Intelligence in the real world. ../07 2 Compare and contrast the terms Business Analytics and Business Intelligence. Ensure that these are done through thorough use of literature and are backed-up by the real examples. ../08 3 (a) From the sample data set, given below, perform and interpret Mean, Median, Mode, Standard Deviation, Variance, Skewness and Kurtosis. Explain what type of data is Gender and Weight/Height? Make a histogram for Weight variable ../15 3 (b) Perform Bivariate analysis to find correlation between Gender and Height and Gender and Weight using Scatter plots ../10 Assessment type Marks Marks Achieved
FORMATIVE ASSIGNMENT SHORT ANSWERS 40 GPA GRADE FEEDBACK ON FORMATIVE
WOOLF PRESENTATION RUBRIC
(USE ONLY IF PRESENTATION IS REQUIRED IN THE TASK)
All the questions that are given in the presentation part (Formative Assignment) will be checked for these descriptors. A detailed explanation can be provided to the learners when preparing the sheet based on the following pointers.
Professional Documentation Content Completion Content Accuracy Speaker Notes and Explanation Given Applicability of Contents
20% of Marks 20% of Marks 20% of Marks 20% of Marks 20% of Marks
The overall presentation documentation, use of good images/tables/SmartArt. The learners are expected to have a consistency in the font and size of text. It is also important to the desired number of slides as per the assignment brief.
*The cover, thank you/Q&A and references slides arenot countedin the given number.
The learners must ensure that they have covered all the required questions asked in the task. The complete content would be covering all the explanation required in all the parts of the questions given in the task. The accuracy of the content is related to the applicability of the concepts. It is also linked to the facts and figures used. An accurate content would be correctly cited. This factor is about the speaker notes being added in the presentation and the effort of engaging the reader.
The explanation through an apt speaker note should and self-explanatory. None of the speaker notes to be too detailed that it starts confusing rather than explain the concepts. The learner has been able to portray with the work, the application of the concepts in a factual manner.
Assessment
Data Analytics and Modelling
Scenario: There is no scenario for this assignment. However, all the below mentioned questions must be answered to mark the completion of this milestone. There are questions in which the learner might have to make a choice of the firm. This should be done carefully so that the citations can be in an order.
Formative Assignment (40 Marks, 1500 Words)
Explain the meaning of Business intelligence. Give one real-life example and explain the use of Business Intelligence in the real world [07 marks, 500 Words].
Compare and contrast the terms Business Analytics and Business Intelligence. Ensure that these are done through thorough use of literature and are backed-up by the real examples. [08 marks, 600 Words].
Given below is the data set:
Gender Dominant Hand Height (cm) Weight (kg)
Male Right 174 70
Male Right 202 99
Male Right 182 82
Male Right 184 75
Male Right 181 80
Male Right 180 59
Female Right 170 71
Male Right 192 81
Male Right 187 74
Male Right 188 85
Male Right 181 74
Male Right 181 68
Male Right 179 62
Female Left 158 44
Female Right 170 69
Female Right 172 56
Female Left 171 77
Female Right 161 55
Male Right 180 77
From the sample data set, perform and interpret Mean, Median, Mode, Standard Deviation, Variance, Skewness and Kurtosis. Explain what type of data is Gender and Weight/Height? Make a histogram for Weight variable. [15 marks, 300 Words].
Perform Bivariate analysis to find correlation between Gender and Height and Gender and Weight using Scatter plots. [10 marks, 100 Words].
151765-427990ASSIGNMENT COVER PAGE
00ASSIGNMENT COVER PAGE
DATA ANALYTICS AND MODELLING
COURSE/ UNIT INFORMATION
Course Master of Business Administration
Course Level Masters
Module Name Data Analytics and Modelling
ASSIGNMENT INFORMATION
Formative Assignment/Summative Assignment SUMMATIVE ASSIGNMENT
Faculty Ms. Annmol Cherian
TO BE FILLED BY THE STUDENT
Student Name Student ID Email ID Date Submitted
MARKS DIVISION
For the reference of the Learners Only. The total marks of both assignments will get the grade as per the descriptors.
NB: The Turnitin will be checked by the assessment team, the report need not be generated from the students side.
Assessment type Marks
FORMATIVE ASSIGNMENT SHORT ANSWERS 40
SUMMATIVE ASSIGNMENT REPORT 60
Overall Marks 100
GRADE DESCRIPTORS
GPA GRADE MARKS (Out of 100)
4 A+ 97-100
3.9 A 94-96
3.7 A- 90-93
3.3 B+ 87-89
3 B 84-86
2.7 B- 80-83
2.3 C+ 77-79
2 C 74-76
1.7 C- 70-73
1.3 D+ 67-69
1 D 64-66
0.7 D- 60-63
0 F Below 60
Module Description
This module is designed to inform and help the students, gain adequate awareness of the various
aspects of data through an understanding on the evolution of analytics, business intelligence, and modelling techniques for the organizational decision-making process. The application-based module is going to contribute to help the learners in introspecting and learning about the data analytics practices executed in the business world. Understanding of key areas such as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish shall provide learners with an opportunity to better position themselves for success and contribute for organizational development.
Learning Outcomes
LO1:Demonstrate an understanding about data, business intelligence and different types of data analytics techniques, process, along with adaptation of business intelligence models for business management.
LO2: Discuss the statistical techniques for data analytics and their relevance to business decision-making. Apply this discussion to business departments.
LO3: Gain an in-depth understanding of data modelling, its types and application processes.
LO4: Design tested and effective advanced analytics models and simulations for decision-making.
Expectations
Materials Access
All learning materials are provided in the form of a module kit and can be accessed from the Learning Management system (LMS)
Learning Hours
Students need to be aware of their commitment requirements regarding study time. To give you an indication of that, we have based the following information on the Malta Higher Education Quality Assurance Agency guidelines. The notional learning hours associated with qualifications, programmes and individual units of study are based on a broad agreement across institutions that students can expect to spend 10 hours learning on average in order to gain one academic credit unit (QAA 2006).
Re-sit
If you do not secure a pass when calculated from both the assignments, please read closely the feedback and speak with your Course leader(s) or faculty. After consulting the feedback, close attention is essential to rework on the areas of weakness, and then resubmit the work at the next opportunity. As per the QAA requirements, only one REDO is allowed where the marks will be capped at a Pass.
Plagiarism
All forms of plagiarism are taken seriously, and any suspected cases will be investigated thoroughly. If a case is found proven, then the work will be graded as a failure and the case will be reviewed by the academic committee. The assessment team checks the Turnitin before the evaluation of the assignment is undertaken.
Student appeals
There are no re-evaluations as the marks are graded and internally verified before release for both the assignments. However, as per our appeals policy, a student can make an appeal to the course leader which will be then reviewed by the academic committee (please check our academic policies and procedures manual for more information)
Assignment submission extensions
Students can apply for extensions via the LMS based on extenuating circumstances (if any) with evidence (proof) as per our extensions policy.
General Guidelines
Complete the To be filled by the student section in the cover page.
Both the assignments must be submitted as an electronic document in required format via the LMS
There are no criteria for PPT as you can be as creative as possible. For the word document Use 12 Times New Roman script with 1.5 spacing between lines.
The results are declared only if the student has met the mandatory attendance requirement of 75% and/or minimum 50 % under extenuating circumstances approved and ratified by the academic committee and the examination board.
The students have to submit both Formative and Summative Assignments to score a minimum of 60% to clear the module.
The assignment should not contain any contents with references cited from websites such as ukessays.com, styudymode.com, slideshare.net, scribd.com, Wikipedia but should contain references/citations from credible academic journal and articles.
Submit the assignment on the LMS with the file name being: First Name Last Name _ Module Abbreviation_Type of assignment. For example: John Smith_DAM_Summative
Checklist
I have filled the student Information columns below.
The assignment is checked for being Formative/Summative and is being submitted accordingly.
I have strictly followed Harvard Referencing Style and Citations.
Summative Assignment Grades
Sno. Task Grade Comments
1 Executive Summary ../05 2 Introduction ../08 3 (a) Analyse the data prerequisites and business demands of the organization. Evaluate the data utilized within the organization and identify issues with the existing data management procedures. ../07 3 (b) Describe three data models and data modelling methodologies applicable to the business context. Conduct an extensive review of the literature to determine the most appropriate data model for the selected organization. ../10 4 (a) Evaluate the business situation of the selected organization and elucidate the process of data modelling. Discuss the ethical considerations and obstacles that may arise during implementation. ../10 4 (b) Explore the utilization of advanced data analytics within the selected organization. Elaborate on the influence of implementing advanced analytics on organizational performance. ../10 5 (a) You should summarize the main findings, including their implications. ../05 5 (b) Provide recommendations that directly relate to this analysis and can help in better data management in the future. ../05 Assessment type Marks Marks Achieved
SUMMATIVE ASSIGNMENT LONG ANSWERS 60 GPA GRADE FEEDBACK ON SUMMATIVE
WOOLF ASSIGNMENT RUBRIC
All the questions that are given in the word document (Summative Assignment) will be checked for these descriptions and the percentage of marks will be determined based on each. A detailed explanation can be provided to the learners when preparing the sheet based on the following pointers.
Descriptors Percentage of Marks
Relevance: Directly relevant to the requirements of the assessment. 20%
Knowledge: A substantial knowledge of relevant materials, showing a clear grasp of themes, questions, and issues therein. 20%
Explanation: Good explanation in a clear, structured manner. 10%
Argument and Structure: Generally coherent and logically structured, using an appropriate mode of argument and/or theoretical model(s). The candidate has shown understanding and application of correct methods to the situation provided. 20%
Critical Evaluation: It May contain some distinctive or independent thinking; it may be to formulate an independent position related to theory and/or practice. 20%
Presentation: Well written, with standard spelling and grammar, in a readable style with acceptable style with acceptable format. 5%
References and Citation Uses a range of sourcesvery good use of source material to complete the work and the references and citation are in order. 5%
Assessment
Data Analytics and Modelling
Scenario:
Data modelling is a foundational concept in the realm of data analytics, providing a structured approach to organizing and representing data. This summative assignment aims to delve into the intricacies of data modelling, exploring its various types and the processes involved in its application. By the end of this assignment, you will have gained a comprehensive understanding of how data modelling contributes to effective data management and analysis
Your assignment is to develop a data model for either the organization where you are currently employed, a company you are acquainted with in your personal capacity, or any other organization that requires assistance, including multinational corporations.
Gain an understanding of the data needs of the chosen organization and compile a report intended for submission to the board of directors.
Summative Assignment (60 Marks, 3500 Words)
Learners are encouraged to refer to credible academic sources to analyse concepts. Please note that the slides provided, and discussions conducted during lectures are not the only source of information.
Note: - Primary data collection is not required for the assignment; only information gathering is expected from client organisations.
Word count note: Maximum word limit: The maximum expectedword count is 3500 words excluding references (any additional text will be discarded for evaluation).
You MUST follow the Project Report format, which should contain the following sections:
Executive Summary: You should summarize report briefly. [05 Marks, 300 Words]
Introduction: Provide a brief background and introduction about the chosen firm and background to change. [08 Marks, 400 Words]
Literature Review: You should conduct a review of relevant academic literature using at least 6-8 articles taken from reputed research journals/ article publications, as well as in addition consider any other secondary literature reports, company data/ any other relevant data, to critically analyse the available literature. The literature review should be based on:
Analyse the data prerequisites and business demands of the organization. Evaluate the data utilized within the organization and identify issues with the existing data management procedures. [07 Marks, 500 Words]
Describe three data models and data modelling methodologies applicable to the business context. Conduct an extensive review of the literature to determine the most appropriate data model for the selected organization. [10 Marks, 700 Words]
Application of theory to practice: You need to compare actual practices in the case study organisation with the concepts learnt in theory. It may point out similarities and differences, agreements and contradictions, arguments, and counter arguments, and suggest explanations for these relationships. The focus of this section needs to be: -
Evaluate the business situation of the selected organization and elucidate the process of data modelling. Discuss the ethical considerations and obstacles that may arise during implementation. [10 marks, 500 Words]
Explore the utilization of advanced data analytics within the selected organization. Elaborate on the influence of implementing advanced analytics on organizational performance. [10 marks, 600 Words]
Conclusions and Recommendations:
You should summarize the main findings, including their implications [5 Marks, 250 Words]
Provide recommendations that directly relate to this analysis and can help in better data management in the future. [5 Marks, 250 Words]
