What is the Madhav E-Commerce Sales Dashboard?

It is a Power BI dashboard that visualizes sales, inventory, customer behavior, and regional performance for global e-commerce.

What KPIs are included in this Power BI dashboard?

Key KPIs include GMV growth, AOV, LTV:CAC ratio, repeat purchases, regional sales, and real-time inventory distribution.

Is this dashboard optimized for cross-border e-commerce?

Yes. It supports multi-region sales, currency conversions, and shipping performance analytics by country.

Can I integrate Shopify or WooCommerce data into Power BI?

Yes. Power Query and APIs enable seamless integration with Shopify, WooCommerce, and other platforms.

What DAX functions are used in this project?

It includes CALCULATE, DATESINPERIOD, RELATED, SUMX, and custom measures for rolling averages and CLV.

Does this dashboard support real-time analytics?

Yes. With streaming dataflows and scheduled refreshes, it delivers near real-time business insights.

Can I customize this dashboard for my own business?

Absolutely. We offer custom branding, layout, metrics, and data source adaptation based on your needs.

What are the benefits of Power BI for e-commerce?

Power BI helps e-commerce brands track sales trends, optimize pricing, measure marketing ROI, and forecast demand.

How secure is Power BI for business data?

Power BI uses Microsoft-grade security including row-level security, access roles, and Azure compliance standards.

Can this dashboard be accessed on mobile devices?

Yes. Power BI dashboards are fully responsive and viewable through mobile apps or web browsers.

Do you offer training or walkthroughs for Power BI?

Yes. We offer 1:1 sessions and team workshops covering dashboard usage, editing, and publishing workflows.

Can this dashboard track marketing channel performance?

Yes. It tracks ROAS, conversions, traffic sources, and compares performance across platforms like Instagram and Google Ads.

Does the dashboard include inventory tracking?

Yes. The heatmap and KPI cards show stock levels, top-selling SKUs, and warehouse performance.

What is the average setup time for such a dashboard?

Most dashboards are built and deployed within 2–4 weeks depending on complexity and data availability.

Why choose DataDriven IT for Power BI dashboards?

We provide tailored, scalable, and interactive dashboards backed by deep experience in global e-commerce analytics.

Power BI E-Commerce Dashboard: Advanced Analytics Guide

1. Power BI for Global E-Commerce Analytics
2. Data Architecture for Multi-Channel Sales
3. Key Dashboard Components & Metrics
4. Advanced DAX Formulas for Sales Analysis
5. Real-Time Inventory Management System
6. Customer Lifetime Value Calculation
7. Cross-Border Sales Analytics
8. Actionable Insights & Business Impact

1. Power BI for Global E-Commerce Analytics

Power BI enables enterprise-level e-commerce analytics through:

Multi-Source Data Integration

// Power Query Integration
let
    Source = Shopify.Contents("https://store.myshopify.com"),
    Orders = Source{[Name="Orders"]}[Data]
in
    Orders

Global Currency Conversion

// DAX Currency Conversion
Sales USD = 
SUMX(
    Sales,
    Sales[Amount] * RELATED(ExchangeRates[Rate])
)

2. Data Architecture for Multi-Channel Sales

Data Pipeline Architecture

Data Source	Frequency	Data Volume
Shopify API	Real-time	50K orders/day
Google Analytics	Hourly	2M events/day

3. Key Dashboard Components

Sales Performance

GMV Growth Rate (MoM)
AOV by Customer Segment

Customer Analytics

LTV:CAC Ratio
Repeat Purchase Rate

4. Advanced DAX Formulas

// Rolling 28-Day Revenue
Rolling Revenue = 
CALCULATE(
    SUM(Sales[Revenue]),
    DATESINPERIOD(
        Calendar[Date],
        LASTDATE(Calendar[Date]),
        -28,
        DAY
    )
)

5. Real-Time Inventory Management

6. Customer Lifetime Value

// CLV Calculation
Customer LTV = 
[Average Order Value] * 
[Purchase Frequency] * 
[Customer Lifespan]

7. Cross-Border Sales Analytics

Regional Performance

// Region-Specific Sales
EU Sales = 
CALCULATE(
    [Total Sales],
    Customers[Region] = "Europe"
)

Shipping Analytics

// Delivery Performance
On-Time Delivery % = 
DIVIDE(
    [On-Time Deliveries],
    [Total Orders]
)

E-Commerce Analytics: The Complete Guide to Madhav Sales Dashboard in Power BI

Figure 1: Madhav E-Commerce Sales Dashboard - Power BI Implementation (This is just for the purpose of displaying the information. In order to protect the privacy of our clients, we do not show the actual data of any client.)

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