ASSESSMENT 2 BRIEF | |
Subject Code and Title | MIS609 Data Management and Analytics |
Assessment | Case Study Report: Data Analytics for Organisational Decision- Making |
Individual/Group | Individual |
Length | 2000 words (+/- 10%) |
Learning Outcomes | The Subject Learning Outcomes demonstrated by successful completion of the task below include:
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Weighting | 40% |
Total Marks | 100 |
Using the concepts covered in Module 2 and 3, write a 2000 words case study report for a real scenario faced by an organisation of your choice.
Context
This assessment gives you the opportunity to demonstrate your understanding of concepts covered in Module 2 and 3 including Configuration Management, Business Intelligence, Big Data, Data Warehousing, Cluster Computing, Data Mining, Machine Learning, Use of Data for AI. In doing so, you are required to select an organisation and then analyse and evaluate how the above-mentioned concepts can be used to solve a real-life problem.
Task Instructions
Step 1: Select an organisation that you would like to investigate. You may seek the guidance of your facilitator when selecting an appropriate organisation. When choosing the organisation, make sure that you are able to access data from the organisation easily, or the data is available on the web.
Step 2: Write a case study report outlining how the selected organisation has used the concepts covered in Module 2 and 3 to successfully solve a problem faced by the organisation. The report should consist of the following structure:
Section # | What is typically contained in this section? |
Title page | Include the subject code and name, assignment title, student name, student number, and name of the learning facilitator. |
Section 1: Introduction to the Organisation | Please address the following three points in this section:
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Section 2: Introduction to the concept of Data Analysis | Examples of ‘concept’ include (but are not limited to) Business Intelligence, Big Data, Data Warehousing, Cluster Computing, Data Mining, Machine Learning, Use of Data for AI. This concept is what is being applied by the organisation that you have picked in the ‘Step 1’. Write a brief about this concept that shows the facilitator that you understand this concept inside out. |
Section 3: Data Sources | List the sources from where you collected the information for this assessment. These sources can be interviews, videos, documents, website etc. |
Section 4: Analysis | Please address the following four points in this section:
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Section 5: Conclusions, Findings and Recommendations | Conclude your report explaining what you learned from this analysis. What were the core findings and what are your recommendations for the organisation that you selected? |
Section 1: Introduction to the Organisation
1. About the organisation:
Nissan motors corporation Ltd. is one of the Japan’s big automotive company who manufacture different type of motor vehicles from cars to trucks. The company was founded in December 26, 1933 by Masujiro Hashimiti and two others. This time the company’s name was Jidosha-Seizo corporation limited. Further in the next year, in 1934, the name of the company was renamed as Nissan Motors Company when it gets merged with another Japanese organisation. Today, Nissan become one of the three biggest companies working in Japan and fifth biggest company around the global market. Nissan motors is a part of the R-N-M alliance since 1999 where Renault, Nissan and Mitsubishi are in a partnership. By the end of year 2016, Nissan holds 34 percent control of Mitsubishi motors (nissan-global, 2018).
2. Why choosing this organisation:
In this assessment work, we have chosen Nissan Motors corporation limited. We choose this organisation because of their business strategies used in conducting their business. Their business strategies are defined as what they plan and what they achieve basis. Nissan motors uses long term plan in their business to achieve targeted performance, competitive advantages and a good level of satisfying customers. Their business strategies include the company goals, objectives, current and future business plans and methods to achieve those business objectives and goals. In our research, we have found that their business strategy was regularly optimized in both external and internal issues using business standard analysis tools. Due to using a good business strategy, Nissan motors become a successful and much profitable organisation among its competitors. Due to these learning possibilities from their business, we choose this organisation (nissan-global, 2018).
3. Typical business of the chosen organisation:
Nissan motors is one of the largest automotive company today. They sell their vehicles under Nissan, Datsun and Infinity brands. Nissan was become the sixth biggest automobile manufacturer in year 2013 and beat many big brands till that time. In year 2014, Nissan was become the biggest car manufacturers in north America. By the end of year 2018, Nissan will become world’s biggest electric vehicle manufacturer and has global sales more than 320k. Nissan motors manufacture and sell more than 3.7 million cars in around the globe. Nissan motors produce their first Datsun car which is a small and boxy car which was planned in April 1935. Majorly the company manufacture and sale passenger cars, vans, trucks, buses, aerospace and automotive parts and has branches around the world in major countries such as South Africa, Middle East, Canada, Japan, Mexico, United States and around Asia (nissan-global, 2018).
Section 2: Introduction to the concept of Data Analysis
Nissan motors using the concept of big data and analytics technique and tools to be used in their data analytics. These tools will help them in earning market ROI, enhanced conversations and evaluate their brand to meet the demand of new customers in this new business era. Their marketing and sales manager, Asako Hoshino just announced that they are started using data analytics technologies as the heart of growth strategy. Nissan motors started using big data, marketing science and analytics techniques for better business decisions. These techniques are used among the process, starts from marketing to determining the price of vehicles and dealership at different locations. This will help them in evolving their business according to the new generation of customers. Recently, their California head quarter announced that they started using the HDP (Hortonworks Data Platform) for strength their business through data analytics tools. This HDP tool for data lake infrastructure is build upon Apache Hadoop technique to gather data from different business platforms including data driving and data quality. This enables Nissan Motors to use big data concept in their business for example, analysis of battery usage in their electric vehicles, management of quality and many other cross functional analyses of data. HDP is becoming one of the true and secure open-source data base management tools which enable them to use modern data architecture where they link their data lake architecture with data warehouse. With the help of this technology, Nissan motors integrate different types of data, collected from different sources which provide valuable information that help in making right decision for their business (ETCIO, 2017).
One fruitful use of this technology is to analyse and examine the trend at specific sell location which help them in making informed decisions based on the location of store, customers demand, relevant prices of vehicle and marketing tactics to attract new customers. As per the statement of Hoshino, “Nissan Motors is focusing on distribution and the kind of vehicle model selling in that region”. As per their strategy, if a shop will not be gaining enough sale, it will be moved to another area where better sale is expected (News, 2016). The data collected and generated by the used tools and techniques is further used in designing and production of new vehicles (brand vehicle) and updating the business strategy which allow Nissan motors to develop a new brand vehicle using new technology which is the interest of the current customers. This thing will not work without the use of data analytics tools which provide them intelligence to make it possible to develop a new brand vehicle using innovative ideas and meeting new customer’s demand. Many of their senior management, stated that it will not possible to achieve this success rate with boldness without the use od data science tools and techniques.
Section 3: Data Sources
To complete this assessment work, we have searched for a variety of data sources which help me in collection of this sort of information and data. Most of the information is found over web sites, blogs and interviews related to the Nissan motors and their management persons. Here is the list of sources which help me in gathering data related to Nissan motors which I use in this assessment:
Data type | Author | |
1 | Web article | News, 2016 |
2 | Google review / analysis | Google, 2012 |
3 | Web article | Jessica Davis, 2018 |
4 | Video and News | Alyssa Altman and Philip Beil, 2020 |
5 | Web article | Hrucha Mehta, 2015 |
6 | Web article, analytics, video | Tableau, 2021 |
7 | Web article | ET Auto, 2020 |
8 | Web article / journal | Science direct, 2019 |
9 | Nissan global web site | Nissan motor corps, 2021 |
10 | Web article and review | Jasper Jolly, 2020 |
11 | Case study | Analytics insight, 2019 |
All the above listed sources help me in collecting useful information that I can use in this assessment.
Section 4: Analysis
Using the data science techniques, tools and business strategies, Nissan motors standardize the life of so many customers. They are conducting their business in a way, in which Nissan motors completely taking care of their valued customers, their vehicles and environment also. Being social and thinking about customer’s satisfaction, they are providing best customer service to build social value. When the company was started, they have to face so many troubles in running their business well. With the advancement of data analytics technologies, they started using it in their business
Section 5: Conclusion, Finding and Recommendations
In this assessment work, we have conducted a detailed research on Nissan motors corporation limited. The client has a global business around 180 countries in different locations. The business is founded in December 26, 1933 and continue getting evolved till today. Due to these continue revolutions and adopting new tools and technologies in their business, Nissan motors will become one of the top five automotive seller in the world. In their continuous development process, they face so many different types of issues related to business which somehow harm them and create a level of trouble in marketing, customer satisfaction, sales, etc. With the improvement of technologies and tools, they started analysing their business for such issues and adopt the best solution available in the market. These solutions include the adoption of big data, analytics tools, porter and SWOT analysis, HDP (Hortonworks Data Platform), Adobe cloud solution, etc. All these tools will help them in increased sales, provide power to the authorized dealers, improved marketing strategies, better management of data, improved customer interaction and improved customer satisfaction level. As per our research on these solutions adopted by Nissan, all these tools are so helpful for an organisation in so many different ways, depending the type of business and technology used. We recommend to adopt the above described solutions for a company who currently facing such issues.