Data retention policy
We will use your Personal Information only in accordance with our Privacy Policy. Some of the ways we may use your Personal Information include:
To process your orders and deliver services that you have ordered.
To provide reports based on information collected from use of our Products.
To keep you up to date on the latest Product announcements, software updates, software upgrades, system enhancements, special offers, and other information.
To provide support and assistance for our products and services.
To provide the ability to contact you, and provide you with shipping and billing information.
To provide customer feedback and support.
To provide opt-in contests, sweepstakes or other marketing or promotional activities on the itmplatform.com or affiliate websites.
To conduct questionnaires and surveys in order to provide better products and services to our customers and end users. Your completion of any questionnaires is voluntary.
To support recruitment inquiries.
To understand more about you, so we can personalize newsletters and websites to your preferences. For example, allow you the opportunity to request specific information on products and services that may be of interest.
To provide information on your request to another individual such as a friend or co-worker.
To meet contract obligations.
Data archiving and removal policy
If you do not wish us to continue using your Personal Information in this manner, you may request that your information be deleted from our databases.
Data storage policy
We will store customer data in accordance with:
Registration to trials of ITM Platform
Requesting service and support for our Products and providing such support
Placing transactions or orders
Registering to attend a seminar or webinar
Participating in an online survey
Billing and collecting payments for our Products
Participating in discussion groups or forums
Registering for membership programs or newsletter subscriptions
Registering to download digital content like eBooks or Whitepapers
Data hosting company
Azure
App/service has sub-processors
no
App/service uses large language models (LLM)
no