MINI CASE: NSK Grocer opens in Quill City Mall

KUALA LUMPUR $($Jan $10)$: Quill City Mall KL has announced that anchor tenant, NSK Grocer, has opened its first modern$-$grocer concept store offering a variety of affordable$-$premium local and imported products.

Spanning over $85,000$ square feet and comprising a fresh food section, dry grocery area, wholesale section and a deli, NSK Grocer is the first$-$of$-$its$-$kind concept of modernising a traditional market setting furnished with a comfortable and pristine environment.

In a statement on Monday $($Jan $10),$ Quill City Mall Retails Sdn$.$ Bhd$.$ Senior Vice$-$President Justin Liew said having the first NSK Grocer is not only a milestone for the mall, but also a strategic effort to fulfil the discerning demands of sophisticated modern$-$day shoppers.

$"$We always intend to create a shopping experience that is both exciting and convenient for our shoppers where they are able to run their daily needs all in one place. Therefore, we are confident that NSK Grocer has the strong potential and credibility to cater to the needs of people in Kuala Lumpur and across the Klang Valley," Liew added.

NSK Grocer is the first grocer by NSK Group to offer an array of quality and affordable premium produce, ranging from a plethora of groceries, household items, poultry and fresh produce such as vegetables at reasonable pricing to provide value$-$for$-$money for customers.

NSK Grocer $($KL$)$ Sdn$.$ Bhd$.$ Executive Director Loh Teck Wah stated that Quill City Mall is the ideal location to open its first new outlet, as it is situated in the heart of Kuala Lumpur with a variety of customers crossing the mall daily, especially office workers, young families and college students in the surrounding area.

$"$We believe the opening of NSK Grocer will provide a relaxed shopping experience as well as a positive impact to the public, especially for those residing or working in the city centre who are always on$-$the$-$go and need a quick dash to the grocer for their daily needs," he said.The sales of a supermarket are influenced by a variety of factors that interact in a complex manner. Understanding these factors is crucial for supermarket owners and managers to optimize operations, enhance customer satisfaction, and drive revenue.

As a data analyst, you are tasked with a mini project to identify factors that are affecting the sales performance of supermarkets in your city by applying the SOAR analytics model. Based on the dataset given, address and discuss the following four $(4)$ components of the SOAR analytics model:

$>$ Specify the question: What factors are important in influencing the sales of supermarkets in your city?

$>$ Obtain the data: Download and review the given dataset. Identify and propose the dependent $($outcome and independent $($explanatory$)$ variables.

$$ Analyze the data: Run descriptive and predictive analytics on the proposed variables.

$$ Report the results: Report and interpret your findings obtained from the descriptive and predictive analytics.

REPORT DELIVERABLES

$1.$ Introduction

$$ Statement of the problem, question, issue or opportunity that initiated the analytics project.

$$ A concise description of why the project is relevant$/$important to the target audience.

$$ Detailed explanation of factors influencing the main problem or issue.

$2.$ Data and Methodology

$$ Source and description of data

$$ Description of methods of descriptive and predictive analytics chosen for the project

$3.$ Results and Discussion

$$ Summary of descriptive analytics of data $($measures of central location, measures of dispersion$)-$ support with suitable data visualizations

$$ Reporting of results of predictive analytics $($regression analysis$)-$ support with summary output

$$ Interpretation and discussion of results $-$ identify and discuss which factors$)$ is$/$are important in influencing sales performance

$4.$ Conclusion and Recommendations

$$ Summary of problem$/$issue$,$ factors affecting the problem$/$issue$,$ analytical methods, and results of the project

$$ Propose at least two $(2)$ recommendations for a course of action based on the results obtained. Explain these recommendations in detail and reiterate the significance of the analytics project.

$2/4$Data and Methodology:

Data Source: Utilized the provided dataset, which presumably contains information on

various aspects of supermarket operations in the city.

Dependent Variable $($Outcome$)$: The primary focus is on sales performance, serving as

the dependent variable.

Independent Variables $($Explanatory$)$: The dataset includes factors like product

pricing, location, customer demographics, and promotional activities, which are

considered independent variables affecting sales.

Descriptive Analytics: Applied measures of central location $($mean$,$ median$)$ and

dispersion $($standard deviation, range$)$ to gain insights into the dataset's characteristics.

Employed data visualizations such as histograms and box plots for a more intuitive

understanding.

Predictive Analytics: Employed regression analysis to identify relationship