Altrata is comprised of 5 unique offerings: BoardEx, Boardroom Insiders, RelSci, WealthEngine, and Wealth-X.

With more than 100 million profiles on wealthy individuals, senior decision makers, board members and c-suite leaders, Altrata provides intelligence on the people who are most impactful to their clients’ success.

Business Tools

Data

Altrata

The London office focuses on technology innovation, data science, and business development in the financial services sector.

London

Altrata's headquarters in New York, NY, United States

This department focuses on driving growth through strategic partnerships, account management, and talent acquisition.

Business Development

This department focuses on conducting comprehensive research and analysis to support data-driven decision making.

Research and Analytics

This department focuses on managing client relationships and overseeing account strategies to ensure customer satisfaction and business growth.

Account Management

This department focuses on ensuring positive client experiences and fostering long-term relationships through support and engagement strategies.

Customer Success

This department focuses on analyzing, managing, and improving data to drive informed decision-making across the organization.

Data Analytics

This department is responsible for monitoring and ensuring the quality of products and services through rigorous testing and analysis.

Quality Assurance

The Data Engineering and Analytics team at Altrata focuses on transforming vast amounts of data into actionable insights, enhancing the company’s offerings across its unique platforms. They develop robust data pipelines, ensure high data quality, and perform advanced analytics to support research initiatives on wealthy individuals and key decision-makers. This team is instrumental in driving strategic data-driven decisions that empower clients to connect with influential leaders and maximize their success.

People (4)

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Other teams

Research and Analytics

Account Management

Customer Success

Data Analytics

Quality Assurance

Data Engineering and Analytics