Data Quality & Readiness Analyzer
Before you load a dataset into a database, a BI model, or a machine-learning pipeline, find out what will break. Get a 0–100 readiness score for each target — SQL, Power BI, and ML — with the exact blockers and how to fix them.
Your dataset is analyzed in the browser — nothing is uploaded.
Tool interface
Readiness report
Introduction
Every target platform has different tolerances: SQL rejects invalid identifiers, Power BI suffers from wide messy tables, and ML pipelines fail on leaks and imbalance. This analyzer runs the checks that matter for each target and tells you — before you commit — how ready your data really is.
How it works
- The CSV is parsed and profiled locally (types, fill rates, cardinality, duplicates).
- Target-specific check sets run for SQL, Power BI, and machine learning.
- Each target receives a readiness score plus a prioritized blocker list.
- Every finding includes a concrete suggested fix.
How to use
- Paste CSV (or load the example).
- Tick the targets you plan to load into.
- Click Analyze readiness and review the score cards.
- Work through each target's blockers, then re-run to verify improvement.
Use cases
- Pre-load validation before database imports.
- Model-prep audits before feature engineering.
- Data-handoff documentation between teams.
Limitations
- Checks are heuristic — review flagged columns before acting.
- SQL reserved words cover common ANSI keywords; vendor extras may apply.
FAQ
Is my data uploaded anywhere?
No. All analysis happens locally in your browser.