Legal Notice

Heiniger Management Consulting
info@heinigerconsulting.ch

Disclaimer

Heiniger Management Consulting assumes no liability whatsoever with regard to the accuracy, completeness or reliability of the information provided.

Liability claims against Heiniger Management Consulting for damages of a material or immaterial nature arising from the use, access or misuse of the connection or from technical faults are excluded.

We would like to expressly point out that the responsibility for following possibly incorrect advice or consultation lies solely with the candidate or client seeking advice.

Heiniger Management Consulting expressly reserves the right to change, supplement or delete parts of the pages or the entire offer without prior notice.

Liability for links

References and links to third party websites are outside our responsibility. We disclaim any responsibility or liability for such websites.

Copyright and images

All rights to content, images, photos or other files on the website belong exclusively to Heiniger Management Consulting. Written permission must be obtained in advance to copy any elements.

Data protection

Based on Article 13 of the Swiss Federal Constitution and the data protection regulations of the Swiss Confederation (Data Protection Act, DSG), every person has the right to protection of his or her privacy as well as protection against misuse of his or her personal data. We comply with these provisions. Personal data is treated as strictly confidential. We do not pass on your data unless we are legally obliged to do so or you give your consent.

In cooperation with our hosting providers, we make every effort to protect the databases as well as possible against unauthorised access, loss, misuse or falsification. When you access our websites, the following data is stored in log files: IP address, date, time, browser request and generally transmitted information on the operating system or browser. This usage data forms the basis for statistical, anonymous evaluations so that trends can be identified, which we can use to improve our offers accordingly.