Willis Towers Watson Data Services

Getting compensation right is hard. We make it easy.

By connecting our market data, people, and software we can help you create and deliver a future-oriented, pay-for-performance culture that attracts, retains and engages employees to grow and drive your business results.

We offer powerful, integrated solutions to simplify your pay and benefit planning:

Compensation surveys with comprehensive salary and variable pay data cover all industries and more than 33 million employees — at all levels — in 130+ countries.
Unique job matching using a clear, flexible and easy to implement approach.
Consistent, reliable and high-quality results via our unique survey methodology that reflects our deep knowledge in job leveling and job architecture.
World’s largest executive compensation database captures pay practices for all executive jobs in leading companies Data are extensive, screened by experts and supplemented with company disclosures to guarantee all major listed companies are included.
Deep analyses of long-term incentives using current trends and practices from our U.S. and international databases.
HR policies and practices data including in-depth information on salary increase budgets, company car plans, variable pay (sales and non-sales), allowances and perquisites, training and development, and more.
Benefit design practices and insights on essential benefit and reward topics including retirement, health care, death and disability, and wellness to help shape your reward program.
Custom compensation and benefit surveys tailor-made to help you meet unique compensation and benefit needs and talent objectives.
Willis Towers Watson Compensation Software designed to help global organizations create and manage effective compensation structures that place total compensation within the context of performance, market benchmarks and system wide equity.
Local expertise and global reach including in-country experts with local knowledge of the varied employment markets, practices and customs.