Data quality determines insight reliability—most firms build on sand
Every business intelligence company claims "big data" capabilities. Few invest in the unglamorous work of verification, cleaning, and validation that transforms raw information into reliable insights. We built our competitive advantage on data quality, because brilliant analysis of bad data produces dangerous fiction.
The data quality crisis no one discusses
90% of business data contains significant errors
Duplicate entries, outdated information, and collection biases contaminate most datasets. Companies make million-euro decisions based on data that wouldn't pass undergraduate statistics scrutiny.
Cultural context gets lost in translation
A complaint in Britain differs from one in Italy. Star ratings mean different things in different markets. Most data aggregation strips cultural context, destroying psychological meaning.
Volume without verification creates false confidence
"We analyzed 10 million data points" sounds impressive until you realize 9 million contained errors. Scale amplifies mistakes. Bad data at scale produces confident incorrectness.
Our data philosophy
Quality over quantity, always
We'd rather work with 100,000 verified data points than 10 million questionable ones. Every piece of data undergoes multi-stage verification. Clean data enables clean insights.
Cultural preservation during collection
We maintain cultural context throughout the data pipeline. A Dutch review stays Dutch in meaning, not just language. Psychological signals remain intact.
Continuous validation and updating
Data degrades over time. What was true last year might be false today. We continuously validate and refresh our datasets, ensuring temporal accuracy alongside statistical validity.
Our data capabilities
Data collection and sources
How we gather comprehensive behavioral data across European markets while maintaining quality and cultural context at every step.
Explore our collection methods
Quality standards and verification
The rigorous processes that ensure every insight rests on reliable data. Our verification methodology and quality guarantees.
Learn about our standards
Market coverage
Geographic and industry coverage across Europe. Current capabilities and expansion roadmap for comprehensive market intelligence.
Discover our coverage
Custom data collection
Tailored data gathering for specific business questions. When standard datasets aren't enough, we create custom solutions.
Explore custom services
Data partnerships and completion
How we work with your existing data to identify gaps and complete your intelligence picture with behavioral insights you're missing.
Learn about partnerships
How we ensure data quality
1
Multi-source collection
We gather data from diverse, verified sources across European markets, maintaining cultural and behavioral context at every stage of collection.
Cultural context preservation
Multi-language data handling
Source verification protocols
2
Rigorous verification
Every data point undergoes systematic verification through cross-referencing, temporal consistency checks, and cultural coherence validation.
Statistical validation
Cross-source verification
Cultural coherence checking
3
Continuous monitoring
Data quality monitoring ensures ongoing reliability through automated checks and regular human expert validation of patterns and anomalies.
Automated quality monitoring
Regular expert validation
Anomaly detection systems
European data excellence
GDPR compliance as quality driver
European data protection requirements force higher standards. We exceed compliance, using privacy requirements to ensure data quality and ethical sourcing.
Privacy-first data handling
All data processing follows strict privacy protocols, ensuring both legal compliance and ethical use of behavioral intelligence.
Frequently asked questions
How do you ensure data quality?
Through multi-stage verification: source validation, cross-reference checking, temporal consistency analysis, and cultural coherence testing. Bad data gets excluded, not averaged in.
What data sources do you use?
Public behavioral data from reviews, ratings, social discussions, search patterns, business registrations, and market movements. Multiple sources for validation, all legally and ethically sourced.
How current is your data?
Different data types update at different frequencies—daily for volatile metrics, monthly for stable patterns. We clearly indicate data freshness for every insight.
Can you work with our internal data?
Yes. We integrate client data while maintaining security and privacy. Your internal data adds depth to our external behavioral analysis.
How do you handle data privacy?
All data is aggregated and anonymized. We analyze patterns, not individuals. Full GDPR compliance with privacy-by-design architecture.
What about data in smaller markets?
Some markets have less data density. We adjust methodology and clearly communicate confidence levels. Quality over quantity means being honest about limitations.
How do you validate international data?
Local market experts validate cultural accuracy. Statistical patterns get checked against local knowledge. Numbers must make cultural sense.
What makes your data different from competitors?
Investment in verification and validation that others skip. Cultural context preservation others ignore. Quality standards others consider unnecessary. The difference shows in prediction accuracy.
Ready to get started?
Contact us to learn more about how our services can help your business.
Learn about our data services