Private Web Maps are a prominent feature in Dielmo Maps that allows users to create secure and restricted working environments, ideal for sensitive projects requiring confidentiality in geospatial information. These Web Maps are available to subscribers with a Lite plan or higher and offer complete control over who can access and collaborate within them.

Key Features:

1. Confidentiality of Information: Private Web Maps are designed to protect the confidentiality of geospatial information. Sensitive or exclusive data can be stored and shared within these Web Maps without the risk of unauthorized disclosure.
2. Access Control: Web Maps owners have full control over who can access the Web Maps. They can invite and manage collaborators, as well as revoke access at any time, ensuring that only authorized individuals can view and contribute to the information contained in the Web Maps.
3. Data Security: Dielmo Maps employs robust security measures to protect data stored in private Web Maps. This includes end-to-end encryption, protection against unauthorized access, and other advanced technologies to safeguard data integrity and confidentiality.
4. Efficient Collaboration: Despite being private, Web Maps enable efficient collaboration among team members. Collaborators can share and update geospatial information in a coordinated manner, facilitating decision-making and project execution.

Example of Use:

Imagine an environmental consulting firm conducting an environmental impact assessment project for a client. They use a private Web Maps in Dielmo Maps to store and manage all data related to the project, including maps, reports, satellite images, and analysis results.

Experts in the consulting team can collaborate effectively within the private Web Maps, reviewing and updating information as needed. Thanks to access control and guaranteed confidentiality, the company can maintain data security and comply with client confidentiality requirements.

Private Web Maps in Dielmo Maps are a valuable tool for securely managing geospatial information in sensitive projects. They allow users to work efficiently and collaboratively while protecting the confidentiality and integrity of the data.