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Sales Insights
for EcomVista
EcomVista, a rapidly growing e-commerce company, seeks to enhance
sales performance and customer satisfaction. This presentation outlines a
comprehensive approach to improve sales insights and drive growth.
by Vijay Prabhas
Background
EcomVista's Growth
EcomVista has experienced significant growth in customer
acquisition, but faces challenges in converting growth into
profitability. The company specializes in consumer electronics,
apparel, and household goods.
T h e Challenge
The company requires actionable insights to improve sales
performance and customer satisfaction. They need to
understand key metrics and leverage data for strategic
decision-making.
Problem Statement
Fragmented
Sales Data
Sales data was scattered
across regions, products, and
timeframes, making analysis
cumbersome.
L a c k of
Actionable
Insights
Key metrics were not easily
accessible, hindering data-
driven decision-making.
M is se d Opportunities
The absence of data-driven approaches impeded revenue growth
and operational efficiency.
Objective
To create a centralized and interactive dashboard using SQL and Tableau. The dashboard will analyze sales trends, provide
actionable insights, and enable informed decision-making.
Key Deliverables
Data Integration
and Preparation
Extract, cleanse, and prepare
sales data from multiple
sources for efficient analysis.
Interactive
Tableau
Dashboard
Develop a dynamic dashboard
showcasing KPIs, trends, and
actionable insights.
Sales Insights
Report
Highlight key recommendations
for maximizing sales
performance and customer
satisfaction.
Scalability and
Training
Ensure scalability for future
data analysis and provide
training for effective dashboard
utilization.
1. Data
Integration and
Preparation
1 Data Extraction
Extract sales data from multiple sources, including CRM, ERP
,
and web analytics platforms.
2 Data Cleaning
Cleansing and pre-processing the data using SQL for
efficient analysis, addressing inconsistencies and missing
values.
2. Interactive
Tableau Dashboard
K P I s
Track key performance indicators
(KPIs) such as total sales, profit
margins, and customer
demographics.
Visualizations
Visualize trends like seasonal sales
patterns, top-performing regions,
and products.
Interactivity
Enable interactive filtering and
drilling down for detailed analysis,
providing a dynamic and user-
friendly experience.
3. Sales Insights
Report
Cross-Selling
Opportunities
Identify opportunities for cross-selling
by analyzing customer purchase
history and product relationships.
1 2
Region-Specific
Strategies
Develop region-specific marketing
campaigns based on sales trends and
customer preferences.
3
Inventory Optimization
Optimize inventory levels and product
selection based on sales data and
demand forecasting.
4. Scalability for Future Analysis
1
Scalable Architecture
Ensure the dashboard can accommodate new data sources and advanced
metrics.
2
Cloud-Ba s ed Infrastructure
Leverage cloud-based solutions for scalability and data storage.
3
Automated Data Pipeline
Implement automated data pipelines for efficient data
loading and processing.
5.
Stakeholder
Training
1
U s e r Manual
Create a comprehensive user
manual for the dashboard.
2
Training Sessions
Conduct interactive training
sessions for the EcomVista team.
3
Ongoing Support
Provide ongoing support and
assistance for dashboard usage and
interpretation.

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Sales-Insights-for-EcomVista Datans.pptx

  • 1. Sales Insights for EcomVista EcomVista, a rapidly growing e-commerce company, seeks to enhance sales performance and customer satisfaction. This presentation outlines a comprehensive approach to improve sales insights and drive growth. by Vijay Prabhas
  • 2. Background EcomVista's Growth EcomVista has experienced significant growth in customer acquisition, but faces challenges in converting growth into profitability. The company specializes in consumer electronics, apparel, and household goods. T h e Challenge The company requires actionable insights to improve sales performance and customer satisfaction. They need to understand key metrics and leverage data for strategic decision-making.
  • 3. Problem Statement Fragmented Sales Data Sales data was scattered across regions, products, and timeframes, making analysis cumbersome. L a c k of Actionable Insights Key metrics were not easily accessible, hindering data- driven decision-making. M is se d Opportunities The absence of data-driven approaches impeded revenue growth and operational efficiency.
  • 4. Objective To create a centralized and interactive dashboard using SQL and Tableau. The dashboard will analyze sales trends, provide actionable insights, and enable informed decision-making.
  • 5. Key Deliverables Data Integration and Preparation Extract, cleanse, and prepare sales data from multiple sources for efficient analysis. Interactive Tableau Dashboard Develop a dynamic dashboard showcasing KPIs, trends, and actionable insights. Sales Insights Report Highlight key recommendations for maximizing sales performance and customer satisfaction. Scalability and Training Ensure scalability for future data analysis and provide training for effective dashboard utilization.
  • 6. 1. Data Integration and Preparation 1 Data Extraction Extract sales data from multiple sources, including CRM, ERP , and web analytics platforms. 2 Data Cleaning Cleansing and pre-processing the data using SQL for efficient analysis, addressing inconsistencies and missing values.
  • 7. 2. Interactive Tableau Dashboard K P I s Track key performance indicators (KPIs) such as total sales, profit margins, and customer demographics. Visualizations Visualize trends like seasonal sales patterns, top-performing regions, and products. Interactivity Enable interactive filtering and drilling down for detailed analysis, providing a dynamic and user- friendly experience.
  • 8. 3. Sales Insights Report Cross-Selling Opportunities Identify opportunities for cross-selling by analyzing customer purchase history and product relationships. 1 2 Region-Specific Strategies Develop region-specific marketing campaigns based on sales trends and customer preferences. 3 Inventory Optimization Optimize inventory levels and product selection based on sales data and demand forecasting.
  • 9. 4. Scalability for Future Analysis 1 Scalable Architecture Ensure the dashboard can accommodate new data sources and advanced metrics. 2 Cloud-Ba s ed Infrastructure Leverage cloud-based solutions for scalability and data storage. 3 Automated Data Pipeline Implement automated data pipelines for efficient data loading and processing.
  • 10. 5. Stakeholder Training 1 U s e r Manual Create a comprehensive user manual for the dashboard. 2 Training Sessions Conduct interactive training sessions for the EcomVista team. 3 Ongoing Support Provide ongoing support and assistance for dashboard usage and interpretation.