Sales KPIs, data quality and reporting practical guides, fast to read
A library designed for speed: understand the right KPIs, make a commercial export reliable, and produce readable reporting without a heavy BI project.
Start with these 6 guides
Sales KPI dashboard
Revenue, average basket, AOV, top customers, top products, concentration, and trends.
Pareto analysis (80/20)
Measure concentration and detect customer or product dependency.
Sales data cleaning
Standardization, traceable exclusions, quality audit, and clean export.
AOV and month-over-month trends
Calculate, interpret, and compare performance over time.
Automated sales reporting
Move from a raw export to a share-ready reporting workflow.
Sales metrics automation
Stabilize KPIs, mappings, and repeatable analysis workflows.
Quick answers
Which KPIs should I track first?
Revenue, unique customers, average basket, AOV when an order identifier exists, top customers/products, and concentration.
Why does data quality matter so much?
Because incorrectly parsed dates or amounts immediately degrade KPIs, trends, and exports.
How do I detect customer dependency?
Use Top 1 / Top 3 / Top 10 shares and Pareto concentration. A very high Top 1 share is a warning sign.
Do I need a native connector to get started?
No. In most cases, a clean CSV or XLSX export from your CRM, ERP, or spreadsheet is enough.