KRYNORA ▪
Portfolio demo · Synthetic data
Data engineering / analytics / automation

From scattered spreadsheets
to clear decisions.

A working example of a repeatable sales reporting workflow: standardize source files, check data quality, and turn clean records into a dashboard that explains what changed.

01 / INGEST

Three monthly files

Sales records across Poland, Germany and the UK, with inconsistent labels and deliberately planted errors.

02 / VALIDATE

Make the checks visible

Normalize country names, remove exact duplicates and quarantine rows that cannot be trusted.

03 / ANALYZE

One consistent view

Explore revenue, gross margin and monthly trends using the validated records below.

Live in-browser calculation

Sales performance

Monthly revenue EUR

Quality gate

Rejected records are excluded from every metric. Country standardization changes labels only; it does not change amounts.

Validated sales records

OrderMonthMarketProductRevenue (EUR)Gross margin
Inspect excluded records and calculation rules

Revenue = sum of validated order revenue. Gross profit = revenue − cost. Gross margin = gross profit ÷ revenue. Average order = revenue ÷ order count. Latest-month growth compares March with February in the selected market. All amounts are synthetic EUR values; this demo does not perform currency conversion.