Automatically clean your data before analysis

Automatic Data Quality Check & Cleaning

Automatic detection and removal of duplicates, nonsense texts, and empty entries for highest data quality

With data cleaning and quality check from deepsight cloud, you automatically filter duplicates, nonsense texts, and empty entries from your survey data – for valid analyses and reliable results.

How Sanity Check Works

Qualitätsprüfung
Konsistenz
Ausstehend
Vollständigkeit
Ausstehend
Qualität
Ausstehend

Garbage In, Garbage Out

Garbage In, Garbage Out

Poor data quality leads to distorted analysis results. Duplicates, nonsense texts, and empty entries must be removed – manually a huge effort.

!

Duplicates distort results and statistics

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Nonsense texts like 'asdfasdf' or 'test test' dilute analysis

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Empty or too short texts provide no value

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Manual cleaning costs hours of valuable time

Die Lösung

Automatic Data Cleaning

Sanity Check analyzes your data and automatically removes:

Structural Check

Empty lines, whitespace, and invalid character lengths are automatically detected

Duplicate Detection

Exact and semantic duplicates (>90% similarity) are identified

Nonsense Detection

AI-powered detection of meaningless input like 'asdfasdf' or 'test test'

Quality Scoring

Each text receives a quality score (0-100) for flexible filtering

Intelligent Quality Scoring

Every text is checked and scored for quality

Sanity Check in Workflow

Automatic quality check before every analysis

Sanity Check im Workflow Builder

Anwendungsfälle

Use Cases

Where Sanity Check is used

Survey Cleaning

Remove spam and test answers from surveys

  • Automatically filter spam responses
  • Detect and remove test entries
  • Ensure survey data quality

Feedback Cleaning

Focus on real, actionable feedback

  • Remove duplicates from multiple submissions
  • Filter incomplete responses
  • Preserve context for analysis

Data Import

Automatically clean external data sources

  • Automatically correct inconsistencies on import
  • Deduplicate multiple imports
  • Enable external analysis

Integration

First Stage of Your Pipeline

Sanity Check should always be the first step – clean data = better analysis.

1

Upload your data

2

Automatic quality check

3

Cleaning and deduplication

4

Clean data for analysis

FAQ

Frequently Asked Questions

Texts with similar content but different wording are detected as duplicates (e.g., 'Very good' vs. 'Really great').

Yes! In the Enterprise plan, you can define your own regex patterns and minimum lengths.

Yes, you receive a report with all removed entries and the reason for removal.

AI analyzes text patterns and detects random keystrokes, repetitive characters, and meaningless input.

Yes! You can compare the cleaned dataset with the original and restore entries.

Get Started

Improve data quality now

Free trial – no credit card required

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