Pay & Benefits Data

Our compensation and benefit surveys allow an in-depth understanding of the field of compensation and benefits in Israel.
Current data received from over 400 employers and including over 150,000 employees turn data into knowledge, insights, and managerial tools providing a panoramic view and analysis over the whole arc and hierarchy of positions.

Methodology
Zviran Pay Data are based only on detailed data originating from employers who report their data to Zviran; none of the data comes from private individuals, employment agencies or any other external source.
The data reported by employers undergoes a rigorous auditing process, and only after its completion is the data incorporated into the Zviran’s unique information system.  When data collection is completed, the data is processed and market pay and benefits data are produced.

Data Collection Process

Data is collected from all employers in a uniform format predetermined by Zviran.
Upon purchase of the Pay Data Service subscription, our consultants instruct the HR and payroll teams in the organization on the data collection process in general, and on job matching in particular.  Organization employees are mapped to our generic Job Catalog, according to characteristics such as scope of position, professional knowledge and skills, span of control, hierarchy, professional experience, etc.
The data reported by the employer include individual data on each employee, not averages per position or general data.
The data includes details regarding the employee’s Job and length of employment at the organization, and the employee’s salary data, including base salary monthly allowances, company car status, payment for overtime and shifts, variable annual payments (e.g. bonuses, sales commissions), eligibility for study fund, etc.
Job Matching is one of the cornerstones of the data collection process, and is a critical component of data preparation.
It is important to note that the data reported to Zviran is anonymous – Zviran does not collect personal data such as names, surnames, addresses, telephone numbers, dates of birth, government issued identification numbers, gender or any other information that would identify an employee.

Quality Control and Data Integrity
Quality control on input and output are of crucial importance.  Therefore, we put in a lot of effort ensuring the highest quality.  As the basis for preparing the data and in order to ensure data integrity, we assist employers in understanding the method of reporting and in mapping employees to the correct jobs.
Based on the meticulous data gathering the extensive quality control processes, Zviran Pay Data is considered the most reliable and comprehensive information source regarding salary and labor cost in Israel.

Confidentiality and Privacy
Maintaining the confidentiality of data is an essential component in our process and in producing the pay data.
We sign a mutual confidentiality agreement with each of the employers that report their data; in this agreement, we commit to keeping the data reported by employers completely confidential, and to prevent the exposure, in any way, of the employer’s data.
On their side, all subscribers to the Pay Data Service commit to only use the results for the employer’s internal needs, and that the results and information included in the Pay Data Service will in no way be exposed nor passed on to others.
In addition to the contractual obligations to confidentiality, we implement a wide range of meticulous measures to ensure the confidentiality of data reported to us:

• Zviran is ISO 27001 certified, the world leading standard for information security, and we undergo annual information security audits.
• All data is encrypted, both in storage and in transmission.
• Zviran’s systems have successfully passed a penetration test.
• Zviran employees are all signed to a strict and rigorous confidentiality agreement.
• Access to compensation and benefits data reported by employers is classified, and only specific Zviran employees involved in data processing are authorized to access data.

All of these, in addition to other means which we will leave undisclosed.