E-commerce Analysis
School Project
An Insightful Overview of a Hypothetical Watch Store Enhanced by Figma, ChatGPT 4, and Looker Studio.
Explore key highlights from my analysis, where I merge data with design to reveal strategic insights, all within the scope of a week's dedicated effort in digital retail innovation
Time Investment
Objective
Key Features/Highlights:
Process Steps
This project represents a week of focused effort, amounting to 40 hours of dedicated work
To demonstrate comprehensive data analysis skills by creating a measurement plan and a Looker Studio presentation for a hypothetical e-commerce watch store.
This project involves conceptualizing a non-existent company and following a structured process plan to analyze its e-commerce operations. The focus is on creating and presenting meaningful data insights.
Innovative use of ChatGPT-4 for data generation.Effective data visualization techniques in Looker Studio.Detailed measurement plan showcasing analytical proficiency.
Choosing a Business Model: Focusing on an e-commerce watch store.
Developing a Measurement Plan: Planning and determining essential data points.
Data Creation and Collection: Utilizing ChatGPT-4 for generating and aggregating relevant data.
Data Analysis and Visualization: Implementing Looker Studio to create initial charts and data visualizations.
Refinement and Design: Enhancing the presentation layout and design to align with the project's style.
Script Preparation and Rehearsal: Crafting a compelling narrative for the presentation and extensive practice.
Choosing a Business Model
Approach: Selected the e-commerce model for its relevance in the current digital age, focusing on a watch store to analyze a niche yet dynamic market.
Rationale: E-commerce offers insights into online consumer behavior, sales trends, and digital marketing effectiveness.
Developing a Measurement Plan
Planning and Determining Essential Data Points
Key Metrics: Identified critical metrics such as sales revenue, customer retention rates, product popularity, and customer service feedback.
Objective: The goal was to measure the store's performance over time, understand customer behavior, and evaluate the effectiveness of marketing strategies.
Data Creation and Collection
Acquisition Metrics:
New Customers
Social Media Followers and Reach
Conversion Rate
Total Sales
Number of Items Sold
Customer Support Metrics:
Resolved Support Issues
Average Response Time (Hours)
Post-Purchase Feedback Rating
Customer Service Rating
Customer Engagement Metrics:
Repeat Purchase Rate
Customer Loyalty Points
Average Time Between Purchases
Number of Active Loyalty Program Members
Views on Brand Content
Brand Awareness Metrics:
Search Volume for Brand-Related Terms
Brand Mentions in Media
Views on Brand Content
Revenue Metrics:
Sales Revenue
Average Order Value
Utilizing ChatGPT-4 for Generating and Aggregating Relevant Data
Method: Leveraged ChatGPT-4 for generating hypothetical data sets and scenarios, simulating real-world e-commerce challenges and opportunities.
Data Overview
Data Analysis and Visualization
Created initial charts and graphs with Looker Studio for clear data representation.
Designed icons and graphics using Figma.
Result: Simplified complex data into accessible visual insights.
Refinement and Design
Iterative enhancement of layout and design for professional coherence.
Selected a clean, modern aesthetic for readability and impact.
That's a wrap on this project! It's been a real journey of data crunching, design tweaks, and loads of practice.
Thanks for taking the time to check it out. Hope you found it as interesting as I did making it!
E-commerce Analysis
School Project
E-commerce Analysis
School Project
E-commerce Analysis
School Project
An Insightful Overview of a Hypothetical Watch Store Enhanced by Figma, ChatGPT 4, and Looker Studio.
Explore key highlights from my analysis, where I merge data with design to reveal strategic insights, all within the scope of a week's dedicated effort in digital retail innovation
An Insightful Overview of a Hypothetical Watch Store Enhanced by Figma, ChatGPT 4, and Looker Studio.
Explore key highlights from my analysis, where I merge data with design to reveal strategic insights, all within the scope of a week's dedicated effort in digital retail innovation
Time Investment
Time Investment
Objective
Objective
Process Steps
Process Steps
This project represents a week of focused effort, amounting to 40 hours of dedicated work
This project represents a week of focused effort, amounting to 40 hours of dedicated work
This project represents a week of focused effort, amounting to 40 hours of dedicated work
To demonstrate comprehensive data analysis skills by creating a measurement plan and a Looker Studio presentation for a hypothetical e-commerce watch store.
This project involves conceptualizing a non-existent company and following a structured process plan to analyze its e-commerce operations. The focus is on creating and presenting meaningful data insights.
To demonstrate comprehensive data analysis skills by creating a measurement plan and a Looker Studio presentation for a hypothetical e-commerce watch store.
This project involves conceptualizing a non-existent company and following a structured process plan to analyze its e-commerce operations. The focus is on creating and presenting meaningful data insights.
To demonstrate comprehensive data analysis skills by creating a measurement plan and a Looker Studio presentation for a hypothetical e-commerce watch store.
This project involves conceptualizing a non-existent company and following a structured process plan to analyze its e-commerce operations. The focus is on creating and presenting meaningful data insights.
Choosing a Business Model: Focusing on an e-commerce watch store.
Developing a Measurement Plan: Planning and determining essential data points.
Data Creation and Collection: Utilizing ChatGPT-4 for generating and aggregating relevant data.
Data Analysis and Visualization: Implementing Looker Studio to create initial charts and data visualizations.
Refinement and Design: Enhancing the presentation layout and design to align with the project's style.
Script Preparation and Rehearsal: Crafting a compelling narrative for the presentation and extensive practice.
Choosing a Business Model: Focusing on an e-commerce watch store.
Developing a Measurement Plan: Planning and determining essential data points.
Data Creation and Collection: Utilizing ChatGPT-4 for generating and aggregating relevant data.
Data Analysis and Visualization: Implementing Looker Studio to create initial charts and data visualizations.
Refinement and Design: Enhancing the presentation layout and design to align with the project's style.
Script Preparation and Rehearsal: Crafting a compelling narrative for the presentation and extensive practice.
Key Features/Highlights:
Key Features/Highlights:
Innovative use of ChatGPT-4 for data generation.Effective data visualization techniques in Looker Studio.Detailed measurement plan showcasing analytical proficiency.
Innovative use of ChatGPT-4 for data generation.Effective data visualization techniques in Looker Studio.Detailed measurement plan showcasing analytical proficiency.
Choosing a Business Model
Choosing a Business Model
Choosing a Business Model
Approach: Selected the e-commerce model for its relevance in the current digital age, focusing on a watch store to analyze a niche yet dynamic market.
Rationale: E-commerce offers insights into online consumer behavior, sales trends, and digital marketing effectiveness.
Approach: Selected the e-commerce model for its relevance in the current digital age, focusing on a watch store to analyze a niche yet dynamic market.
Rationale: E-commerce offers insights into online consumer behavior, sales trends, and digital marketing effectiveness.
Developing a Measurement Plan
Developing a Measurement Plan
Developing a Measurement Plan
Planning and Determining Essential Data Points
Key Metrics: Identified critical metrics such as sales revenue, customer retention rates, product popularity, and customer service feedback.
Objective: The goal was to measure the store's performance over time, understand customer behavior, and evaluate the effectiveness of marketing strategies.
Planning and Determining Essential Data Points
Key Metrics: Identified critical metrics such as sales revenue, customer retention rates, product popularity, and customer service feedback.
Objective: The goal was to measure the store's performance over time, understand customer behavior, and evaluate the effectiveness of marketing strategies.
Data Creation and Collection
Data Creation and Collection
Data Creation and Collection
Acquisition Metrics:
New Customers
Social Media Followers and Reach
Conversion Rate
Total Sales
Number of Items Sold
Customer Support Metrics:
Resolved Support Issues
Average Response Time (Hours)
Post-Purchase
Feedback Rating
Customer Service Rating
Customer Engagement Metrics:
Repeat Purchase Rate
Customer Loyalty Points
Average Time Between Purchases
Number of Active Loyalty Program Members
Views on Brand Content
Brand Awareness Metrics:
Search Volume for Brand-Related Terms
Brand Mentions in Media
Views on Brand Content
Revenue Metrics:
Sales Revenue
Average Order Value
Utilizing ChatGPT-4 for Generating and Aggregating Relevant Data
Method: Leveraged ChatGPT-4 for generating hypothetical data sets and scenarios, simulating real-world e-commerce challenges and opportunities.
Utilizing ChatGPT-4 for Generating and Aggregating Relevant Data
Method: Leveraged ChatGPT-4 for generating hypothetical data sets and scenarios, simulating real-world e-commerce challenges and opportunities.
Data Overview
Data Overview
Data Overview
Data Analysis and Visualization
Data Analysis and Visualization
Data Analysis and Visualization
Created initial charts and graphs with Looker Studio for clear data representation.
Designed icons and graphics using Figma.
Result: Simplified complex data into accessible visual insights.
Created initial charts and graphs with Looker Studio for clear data representation.
Designed icons and graphics using Figma.
Result: Simplified complex data into accessible visual insights.
Refinement and Design
Refinement and Design
Refinement and Design
Iterative enhancement of layout and design for professional coherence.
Selected a clean, modern aesthetic for readability and impact.
Iterative enhancement of layout and design for professional coherence.
Selected a clean, modern aesthetic for readability and impact.
That's a wrap on this project! It's been a real journey of data crunching, design tweaks, and loads of practice.
Thanks for taking the time to check it out. Hope you found it as interesting as I did making it!
That's a wrap on this project! It's been a real journey of data crunching, design tweaks, and loads of practice.
Thanks for taking the time to check it out. Hope you found it as interesting as I did making it!
That's a wrap on this project! It's been a real journey of data crunching, design tweaks, and loads of practice.
Thanks for taking the time to check it out. Hope you found it as interesting as I did making it!
E-commerce Analysis
School Project
An Insightful Overview of a Hypothetical Watch Store Enhanced by Figma, ChatGPT 4, and Looker Studio.
Explore key highlights from my analysis, where I merge data with design to reveal strategic insights, all within the scope of a week's dedicated effort in digital retail innovation
Time Investment
Objective
Key Features/Highlights:
Process Steps
This project represents a week of focused effort, amounting to 40 hours of dedicated work
To demonstrate comprehensive data analysis skills by creating a measurement plan and a Looker Studio presentation for a hypothetical e-commerce watch store.
This project involves conceptualizing a non-existent company and following a structured process plan to analyze its e-commerce operations. The focus is on creating and presenting meaningful data insights.
Innovative use of ChatGPT-4 for data generation.Effective data visualization techniques in Looker Studio.Detailed measurement plan showcasing analytical proficiency.
Choosing a Business Model: Focusing on an e-commerce watch store.
Developing a Measurement Plan: Planning and determining essential data points.
Data Creation and Collection: Utilizing ChatGPT-4 for generating and aggregating relevant data.
Data Analysis and Visualization: Implementing Looker Studio to create initial charts and data visualizations.
Refinement and Design: Enhancing the presentation layout and design to align with the project's style.
Script Preparation and Rehearsal: Crafting a compelling narrative for the presentation and extensive practice.
Choosing a Business Model
Approach: Selected the e-commerce model for its relevance in the current digital age, focusing on a watch store to analyze a niche yet dynamic market.
Rationale: E-commerce offers insights into online consumer behavior, sales trends, and digital marketing effectiveness.
Developing a Measurement Plan
Planning and Determining Essential Data Points
Key Metrics: Identified critical metrics such as sales revenue, customer retention rates, product popularity, and customer service feedback.
Objective: The goal was to measure the store's performance over time, understand customer behavior, and evaluate the effectiveness of marketing strategies.
Data Creation and Collection
Acquisition Metrics:
New Customers
Social Media Followers and Reach
Conversion Rate
Total Sales
Number of Items Sold
Customer Support Metrics:
Resolved Support Issues
Average Response Time (Hours)
Post-Purchase Feedback Rating
Customer Service Rating
Customer Engagement Metrics:
Repeat Purchase Rate
Customer Loyalty Points
Average Time Between Purchases
Number of Active Loyalty Program Members
Views on Brand Content
Brand Awareness Metrics:
Search Volume for Brand-Related Terms
Brand Mentions in Media
Views on Brand Content
Revenue Metrics:
Sales Revenue
Average Order Value
Utilizing ChatGPT-4 for Generating and Aggregating Relevant Data
Method: Leveraged ChatGPT-4 for generating hypothetical data sets and scenarios, simulating real-world e-commerce challenges and opportunities.
Data Overview
Data Analysis and Visualization
Created initial charts and graphs with Looker Studio for clear data representation.
Designed icons and graphics using Figma.
Result: Simplified complex data into accessible visual insights.
Refinement and Design
Iterative enhancement of layout and design for professional coherence.
Selected a clean, modern aesthetic for readability and impact.
That's a wrap on this project! It's been a real journey of data crunching, design tweaks, and loads of practice.
Thanks for taking the time to check it out. Hope you found it as interesting as I did making it!
Get in Touch!
Feel free to reach out via LinkedIn or Email.
Always open to new projects, collaborations, and discussions!
Get in Touch!
Feel free to reach out via LinkedIn or Email.
Always open to new projects, collaborations, and discussions!
Get in Touch!
Feel free to reach out via LinkedIn or Email.
Always open to new projects, collaborations, and discussions!
