At Cognism, we use a multi-layered approach to collect, verify, and maintain high-quality B2B data. Our process ensures accuracy, compliance, and reliability, making our data the most trusted in the industry.
1. Data Collection: Gathering Information from Trusted Sources
Cognism collects data from a diverse range of reliable sources, including:
- News articles and press releases
- Company websites
- Annual reports and earnings releases
- Public registries
- Validated data vendors
- Proprietary methods
Our AI-powered tool, Orion, processes between 60 to 200 data sources per company, ensuring a comprehensive and up-to-date dataset.
2. Scoring & Matching: Organizing and Evaluating Data
Each collected data point undergoes a scoring and matching process to determine its reliability:
- A confidence score is assigned to each data point based on its source credibility and consistency across multiple references.
- Orion stitches together the most accurate and relevant data points to build a complete and trustworthy company profile.
3. Data Verification: Ensuring Accuracy with AI and Machine Learning
Once data has been scored and matched, we use sophisticated machine learning models and systematic testing frameworks to verify key contact details, including:
- Mobile phone numbers – Checked for validity and accuracy.
- Email addresses – Verified to reduce bounce rates and improve deliverability.
This process ensures our users receive accurate, verified contact information to improve connection rates.
4. Compliance & Data Governance: Meeting Global Standards
Cognism enforces a strict governance framework to ensure compliance with international regulations. We:
- Cross-check data against 13 international Do Not Call (DNC) lists—more than any other provider in the industry.
- Adhere to major data protection laws, including GDPR, CCPA, and other regional regulations.
- Implement privacy-first practices to ensure ethical data usage.
5. Human Oversight: Ongoing Monitoring & Updates
Our data team plays a crucial role in maintaining data integrity:
- Regularly testing, updating, and monitoring data to keep it fresh.
- Conducting manual reviews to enhance quality control.
- Refining our processes based on real-world data performance.
6. Customer Feedback: Refining Data Through Real-World Usage
The final step in our process is customer-driven refinement:
- We analyze how users interact with our data to understand which records are the most valuable.
- Customer feedback helps us identify gaps, remove outdated information, and continuously improve data quality.
Why Choose Cognism?
By combining AI-driven automation, machine learning, compliance expertise, and human oversight, Cognism delivers the highest standard of B2B data. Our multi-layered verification process ensures that you can trust our data for sales outreach, marketing, and business intelligence.
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