Compiling Brief Documentation for the Dashboard#
We will write brief documentation for the dashboard, which will be placed on a separate tab of the dashboard.
General Information#
The WWI Business Performance Overview Dashboard provides comprehensive insights into sales performance, customer behavior, product analytics, and delivery operations within the Wide World Importers company. This tool enables data-driven decision making across multiple business dimensions.
Dashboard Owner: Pavel Grigoryev
Data Coverage: January 2013 - May 2016
Abbreviations:
Abbreviation |
Full Name |
|---|---|
LM |
Last Month |
YoY |
Year-over-Year |
AOV |
Average Order Value |
ARPPU |
Average Revenue Per Paying User |
APC |
Average Payment Count |
Tab Overview#
Sales Tab#
Key Metrics:
Revenue - Total sales amount for the last month
Profit - Total profit generated for the last month
Sales - Total number of orders sold for the last month
AOV - Average Order Value for the last month
Each metric includes a monthly trend visualization (sparkline) for the last 12 months and the previous year, allowing for direct historical comparison.
Detailed Breakdowns:
By customer category
By delivery status (on-time vs delayed orders)
By state and city geographic regions
Customers Tab#
Key Metrics:
Customers - Total active customers for the last month
ARPPU - Average Revenue Per Paying User for the last month
APC - Average Purchase Count per customer for the last month
Avg Items/Order - Average Products per Order for the last month
Each metric includes a monthly trend visualization (sparkline) for the last 12 months and the previous year, allowing for direct historical comparison.
Detailed Breakdowns:
Customer metrics by state and city
Products Tab#
Key Metrics:
Avg Product Revenue - Average Revenue per Product for the last month
Avg Product Profit - Average Profit per Product for the last month
Avg Items Sales - Average Units Sold per Product for the last month
Avg Unit Price - Average Product Price for the last month
Each metric includes a monthly trend visualization (sparkline) for the last 12 months and the previous year, allowing for direct historical comparison.
Detailed Breakdowns:
By product category
By packaging type (internal/external packaging)
Delivery & Logistics Tab#
Key Metrics:
Avg Delivery Days - Mean time from order to delivery in days for the last month
Delay Rate - Percentage of orders delivered late for the last month
Average Delay Days - Mean lateness for delayed orders for the last month
Avg Picking Days - Mean Order picking time for the last month
Each metric includes a monthly trend visualization (sparkline) for the last 12 months and the previous year, allowing for direct historical comparison.
Detailed Breakdowns:
Performance by state and city regions
Access Information#
Access Level: Available to all
Data Sources & Technical Details#
Data Sources:
Data is sourced from the analytical database.
The dashboard connects to materialized views: analytics.mv_orders and analytics.mv_products.
Calculation Methodology:
YoY (Year-over-Year) Growth: Calculated as (Metric Value for Last Month / Metric Value for Same Month Previous Year) - 1.
Sparkline Trends: Each monthly point on sparklines represents the YoY growth for that specific month, calculated as (Current Month Value / Same Month Previous Year Value) - 1, providing a continuous YoY comparison over the past 12 months.
Frequently Asked Questions#
What does YoY mean and how is it calculated?#
YoY stands for Year-over-Year.
It is a key performance metric that compares a specific period (e.g., a month) to the exact same period in the previous year.
This eliminates seasonal effects and provides a clearer view of growth trends.
It is calculated as:
(Metric Value for Current Period / Metric Value for Same Period Previous Year) - 1
How are delayed orders defined?#
An order is classified as delayed if the actual delivery date is later than the promised/scheduled delivery date.
What is shown on the sparkline charts?#
The sparklines provide a visual history of a metricβs performance:
The solid line represents the monthly values for the most recent 12-month period.
The shaded dashed line behind it represents the values for the same months from the previous year (a 12-month period offset by one year).
This overlay allows for an instant visual comparison of current performance against the historical benchmark.