Demos & Diagnostic Tools with Sample Data
Explore how the checks work through synthetic examples, not invented client case studies.
Status: two synthetic demonstrations and two browser-based diagnostic tools are interactive.
Four paths, one evidence-led method
Trace procurement KPIs and review flags to a synthetic source row.
Explore rule toggles, before-and-after records and unresolved issues interactively.
Calculate manual reporting workload transparently using your own assumptions.
15 questions on procurement data quality, scored locally without registration.
Two synthetic demonstrations plus two interactive diagnostics are available.
Four ways to explore and test
Four clearly separated tools: two fully synthetic data demos, a user-input cost calculator and a 15-question self-check. None are client case studies, audited results or certifications.
Connect figures to underlying decisions
KPI → filter → exception → individual document row. The demo explains data definitions, data origin and documented exceptions.
Do not silently overwrite errors
Rules for missing identifiers, duplicates and inconsistent values. Ambiguous records should remain visible for review.
Estimate workload, not savings
Staff count, per-person hours per reporting cycle, annual cycles and fully loaded hourly cost. Users supply the assumptions.
Identify gaps systematically
Five dimensions with three questions each. The score is a self-check, not an audit, certification or external benchmark.
Procurement Reporting Demo
The demo shows: procurement volume, supplier concentration, price versions, matching rates and exceptions requiring attention. The dashboard leads through filters to a specific synthetic record rather than stopping at a chart.
Open interactive reporting demo → · Synthetic sample data only.
Data Quality Lab
The demo shows: before-and-after checks on sample records with documented rules. Deterministic normalization and manual review cases must remain distinct. Detecting a problem is not proof that it can always be fixed automatically.
Open interactive Data Quality Lab → · No file uploads.
Reporting Cost Calculator
Model annual reporting cost with people × hours per person/cycle × yearly cycles × fully loaded hourly cost. Extra team rework is counted separately when entered.
Open the interactive reporting cost calculator → · No guaranteed savings.
Procurement Self-Assessment
The 15-question self-check covers completeness, supplier master governance, price traceability, PO/invoice links and exception monitoring. All questions need known answers for a total score.
Open the procurement data quality self-check → · Not a certification.
What these examples do not prove
The reporting demo and lab use only synthetic example records. The calculator uses assumptions you enter, and the self-check reflects self-reported practices. They do not demonstrate verified client outcomes, actual savings or certified performance.
Are these actual client reports?
No. The demonstrations use synthetic records, not claims of completed client engagements.
Are tool inputs stored?
The two demonstrations use synthetic data. The calculator and self-check process your inputs in the browser only, without accounts, storage or submissions.
Clarify the data and scope together
A scope discussion starts with specific sources, checks and boundaries, not unverified outcomes.