Compport is a one-stop integrated SaaS solution to manage all your compensation plans namely candidate offers, annual/adhoc salary review, bonus/incentive, sales incentive plans (customized to clients need), long term incentive plans, Rewards and recognition schemes and salary structuring.
It is a unique 100% modular solution that enable users to design single/multiple compensation plans with 100% flexibility, compare, and assess the impact and budget upfront, launch it to the line managers for review of salary related components for their respective teams and then enable communication with employees in a digital form to provide access of letters and total rewards statements, etc.
It helps organizations in achieving;
– Extraordinary efficiency, upto 90%, in managing all compensation processes
– Agility and 100% flexibility in comp modeling to ensure best fit tailored solution
– Improved decision making by Leaders, managers and HR
– Empowered culture by cascading decisions making in the hands of managers with appropriate limitations and controls
– Perfect transparency levels to improve employee’s perception on Total Rewards
It also provides a variety of analytics such as HC and turnover trends, compensation analytics, Gender Diversity analytics, talent identification and productivity analytics to build a strong culture of data driven decision-making including compensation decisions. Both the modules are very well supported by a comprehensive employee feedback survey module with 50 pre-embedded surveys to get feedback at any stage of employee lifecycle.
Compport is hosted on Google Cloud Platform and built with highly secured infrastructure and environment, compliant with global IT security and privacy standards/laws such as GDPR, SOC-II and ISO-27001 and regularly tested for penetration and vulnerability.
Our service support standard also aligned with the needs of our clients, wherein we provide the fastest possible solutions with turnaround time as low as 4 hours with 24/7 hypercare support upto 90 days during the peak usage periods.
