Uma M

Project# 1

Client: Tech Innovate Electronics

Project Name : E-Commerce Sales Insight

Reports: Product Launch Performance, Market Penetration Analysis
Visuals: Bar chart for launch performance, pie chart for market share
KPIs: Launch Revenue, Market Share, Customer Engagement
Tables: ProductLaunchData, MarketAnalysis, CustomerFeedback

Objective :

• To provide the client with reports and visuals that will help in assessing the performance of their product launches, analyzing market penetration, and measuring customer engagement.

Key Achievements :

• Collaborating with the client to understand their reporting requirements and identifying the most suitable data sources, which for this project includes the tables ProductLaunchData, MarketAnalysis, CustomerFeedback.
• Developing the queries to extract the relevant data from the source systems and ensuring that data is clean, accurate and appropriate for the analysis.
• Designing and developing the reports using Power BI visuals, such as bar charts and pie charts, and developing dashboards/scorecards with interactive elements to allow end-users to explore and interact with the data.
• Selecting the appropriate KPIs such as Launch Revenue, Market Share, and Customer Engagement, to accurately measure the performance and penetration of Tech Innovate Electronic's products in the market.
• Incorporating E-Commerce Sales Insight data to provide additional insights for online sales strategies.
• Ensuring that the reports are delivered on time and to a high standard, and providing documentation and training to end-users on how to use the reports.

Project #2:

Client: Online Retail Hub

Project Name : Smart Home Devices Usage

Reports: Customer Purchase Behavior, Top Selling Products
Visuals: Heatmap for purchase behavior, column chart for top products
KPIs: Average Purchase Value, Repeat Customer Rate, Product Ratings
Tables: CustomerPurchases, ProductRatings, SalesData

Objectives :

Online Retail Hub is to analyze customer purchase behavior, identify top-selling products and provide insights into smart home device usage.

Key Achievements :

• The project for Online Retail Hub has helped the organization gain valuable insights into customer purchase behavior and top-selling products.
• These insights have been used to optimize sales and marketing strategies, resulting in increased sales revenue and profitability.
• Additionally, it has led to better inventory management and increased efficiency and productivity.
• The project has also enabled Online Retail Hub to monitor important metrics like Average Purchase Value, Repeat Customer Rate, and Product Ratings, leading to improved customer satisfaction and retention.

Outcome :

This project for Online Retail Hub has contributed to a positive impact on business performance, productivity, and customer satisfaction. By monitoring important metrics and extracting valuable insights, Online Retail Hub can make data-driven decisions and make significant advances towards their business goals.

Project #3:

Client: HomeTech Solutions

Project Name : Automotive Sales Performance
Reports: Device Usage Trends, Energy Saving Insights
Visuals: Line chart for device usage over time, donut chart for energy savings
KPIs: Usage Hours, Energy Savings, User Satisfaction
Tables: DeviceUsage, EnergyConsumption, UserFeedback

Objective :

Understand how consumers are using smart home devices through analyzing device usage trends over time. Identify opportunities for energy savings through analyzing energy consumption trends. Monitor user satisfaction levels to enhance device performance and overall user experience.

Key Achievements :

• Better understanding of how consumers are using smart home devices through device usage trends analysis.
• Identification of opportunities for energy savings through energy consumption trends analysis.
• Improved device performance and user experience through monitoring user satisfaction levels.
• Optimization of device offerings and increased device efficiency through the use of key performance indicators, such as Usage Hours, Energy Savings, and User Satisfaction.
• Improved decision-making for product development, marketing strategies, and cost management based on the insights gained from the project.

Outcome :

• The outcome of the project for HomeTech Solutions is to provide valuable insights into device usage trends, energy-saving opportunities, and user satisfaction levels. By analyzing device usage and energy consumption trends, HomeTech Solutions can identify opportunities for energy savings, improve device efficiency, and optimize device offerings.
• The tables and visuals generated through the project, including the Line chart for device usage over time and the donut chart for energy savings, provide valuable insights and help drive better decision-making for the client.

Project #4 :

Client: BankGlobal
Project Name : Loan Lifecycle Insights
Reports: Loan Origination Analysis Dashboard
Purpose: To streamline the loan approval process and reduce defaults.
KPIs: Approval Time, Default Rate, Loan Value Distribution, Customer Satisfaction, Origination Volume.
Outcome: Streamlined loan processing reduced approval time by 30%.
Data Model: Includes Loan Applications, Customer Profiles, Loan Performance tables.

Objective :
The main objectives of the Loan Lifecycle Insights project for BankGlobal are to make the loan approval process smoother and faster, reduce the risk of loan defaults, ensure fair distribution of loans, improve customer satisfaction, and increase the overall volume of loans. These objectives are achieved by analyzing loan applications, customer profiles, and loan performance data and presenting insights on loan origination, approval time, default rate, loan value distribution, and customer satisfaction using the Loan Origination Analysis Dashboard. The project successfully streamlined the loan approval process and reduced the approval time by 30%.

Key Achievements :

• The project aimed to reduce the loan approval time. The team achieved this objective by using a Loan Origination Analysis Dashboard, which helped identify bottlenecks in the process and streamline it. They were able to reduce the approval time by 30%.
• To reduce the default rate by analyzing loan performance. By using the data model that included loan applications and loan performance tables, the team could identify the loan types and customer profiles that were more prone to defaults. This allowed BankGlobal to take corrective action and improve their loan performance.
• The Loan Origination Analysis Dashboard helped in analyzing customer profiles, their preferences and complaints. Using this data, the team made quick and informed decisions to improve customer satisfaction.
• The team was responsible for understanding BankGlobal's business requirements and the loan approval process.
• To provide loan lifecycle insights, the team was responsible for building and maintaining the data model that included loan applications, customer profiles, and loan performance tables.
• We were responsible for creating the Loan Origination Analysis Dashboard, which provided insights into loan approval time, default rate, loan value distribution, customer satisfaction, and origination volume.
• We were tasked with analyzing loan applications and loan performance to identify patterns and trends in the loan lifecycle, including identifying the types of loans and customer profiles that were more prone to defaults.

Outcome :

The Loan Lifecycle Insights project for BankGlobal was the successful streamlining of the loan approval process which led to a 30% reduction in the approval time. This was achieved through the analysis of loan applications, customer profiles, and loan performance data using the Loan Origination Analysis Dashboard, which provided insights into loan origination, approval time, default rate, loan value distribution, and customer satisfaction.

Declaration:

I hereby declare you that all the information provided above are to the best of my knowledge