Gurgaon, India | 33+ Countries
Data Quality & Validation

Ensure Data Integrity with Rigorous Validation

Multi-layered data quality checks that identify fraudulent responses, detect anomalies, and ensure your research decisions are built on clean, reliable, and validated data.

ESOMAR Compliant
GDPR Certified
ISO Approved
33+ Countries
50+ QC Checks
Fraud Detection

Quality Metrics

Data validation dashboard

Live
50+
QC Checks
12%
Fraud Detected
99.5%
Data Accuracy
33+
Markets
50+
QC Checks
8M+
Records Validated
99.5%
Data Accuracy
12%
Fraud Detected
33+
Markets
50+
QC Checks Applied
8M+
Records Validated
12%
Fraud Detected
99.5%
Data Accuracy
ESOMAR Guidelines
GDPR Compliant
ISO Standards
MRS Best Practices

Data Quality & Validation Capabilities

Comprehensive quality checks to ensure every data point is reliable and trustworthy.

Fraud Detection

Identify bot responses, duplicate entries, proxy respondents, and professional survey-takers.

Speeder Identification

Detect respondents who complete surveys too quickly to have read and considered questions.

Straight-Lining Detection

Flag respondents who select the same answer across all questions without consideration.

Geolocation Validation

Verify respondent location matches target market using IP, GPS, and timezone analysis.

Outlier Detection

Statistical identification of extreme or inconsistent responses that skew results.

Consistency Checks

Verify logical consistency across related questions and repeated validation items.

Data Quality Applications

Quality validation for every research methodology and data source.

Online survey data validation
Panel data quality auditing
CATI/CABI data verification
Mixed-mode data reconciliation
Longitudinal data consistency
Cross-market data harmonization
Client-supplied data validation
Regulatory compliance auditing

Our Data Quality Process

A multi-layered approach to ensure data integrity at every stage.

1
Automated Screening

AI-powered initial screening for speeders, straight-liners, duplicates, and bot patterns.

2
Deep Analysis

Statistical analysis for outliers, inconsistencies, response patterns, and data anomalies.

3
Manual Review

Expert data validators review flagged responses and edge cases for final determination.

4
Cleaning & Correction

Apply agreed cleaning rules, remove invalid data, and document all quality decisions.

5
Quality Report

Comprehensive data quality report with metrics, decisions log, and cleaned dataset delivery.

Why Choose Our Data Quality Services?

We protect your research integrity with the most thorough data validation in the industry.

50+ QC Checks

Comprehensive quality checks covering every dimension of data integrity and respondent behavior.

AI-Powered Detection

Machine learning algorithms that continuously evolve to detect new fraud patterns and techniques.

Transparent Reporting

Every quality decision is documented with clear rationale and impact assessment on results.

ESOMAR Compliance

All quality processes follow ESOMAR/ICC Code guidelines for ethical research practices.

Real-Time Alerts

Instant notifications when quality thresholds are breached so corrective action is immediate.

Regulatory Ready

Quality processes compliant with GDPR, CCPA, and international data protection regulations.

Bad data leads to bad decisions. Our rigorous quality validation ensures every insight you act on is built on a foundation of clean, verified, and reliable research data.

— Flamingo Insights Data Quality Team

Their data quality team caught 15% fraudulent responses that our previous provider missed entirely. The detailed quality report gave us complete confidence in our research findings.
RH

Robert Hayes

Research Manager, Pharmaceutical Company

Frequently Asked Questions

Common questions about our data quality and validation services.

How many quality checks do you perform?
We apply 50+ quality checks covering fraud detection, speeders, straight-lining, geolocation, consistency, outliers, duplicates, and technical validation across all data points.
Can you validate data from other providers?
Yes, we provide independent data quality validation for data collected by other fieldwork providers. We'll assess data integrity and provide a comprehensive quality report.
What percentage of data do you typically flag?
Typically 8-15% of responses are flagged for review, depending on the study design, target audience, and data source. Online panel data tends to have higher fraud rates.
Do you provide a quality report?
Yes, every project receives a comprehensive data quality report detailing all checks performed, responses flagged, actions taken, and the impact on overall data quality metrics.
Is your quality process GDPR compliant?
Yes, all quality processes are fully GDPR and CCPA compliant. We handle respondent data with strict confidentiality and follow international data protection regulations throughout the validation process.
Can you monitor quality during active fieldwork?
Yes, we provide real-time quality monitoring during active fieldwork. Issues are caught and addressed immediately — not after data delivery when it's too late to fix.

Ready to Ensure Data Quality?

Let our data quality team validate your research data to the highest standards.