DATAMARK Announces Introduction Of CloudAssign, A Cloud-Native Application That Improves Addressing Processes For Local Governments

New product simplifies process of assigning new addresses into local databases

DATAMARK, the public safety geographic information systems (GIS) team of Michael Baker International, announced the development of DATAMARK CloudAssign, a cloud-native Software-as-a-Service (SaaS) solution designed to simplify the complex process of creating new addresses for local governments. DATAMARK CloudAssign streamlines address assignment and maintenance by creating a simple and accessible workflow, allowing ease-of-use for both GIS and non-GIS experts throughout the United States.

Recommended AI News: Aqua Security Achieves AWS Graviton Ready Designation

“DATAMARK is the go-to authority on GIS data for public safety and we developed DATAMARK CloudAssign as a solution for localities who required a simple and straightforward way to create and maintain highly accurate address data,” said Ashley Buzzeo, Director of Product at DATAMARK. “Through the deployment of this tool, addressing authorities can create new addresses using an intuitive and streamlined workflow for the entire addressing lifecycle.”

DATAMARK CloudAssign features include:

Automated Workflow

• Automated login drops user into Addressing Assignment form and map.
• Edits are provided to the assigned admin for review and approval.
• Emails and PDFs for printed letters are created once an edit is approved.
• All product updates are applied automatically

Recommended AI News: RED Technologies Files AFC System Operator Application With The FCC

Ensured Accuracy & Recordkeeping

• Requests are run against existing mapping data to check for errors.
• Reporting pages are updated with integrated dashboard tile metrics.
• Chronological list of all requests, their status and associated emails/PDFs available for download and export.

Data-Focused Design

• CloudAssign can be securely accessed from any web browser, anywhere.
• Data streamlines into NENA-compliant data that integrates with any systems already in place.
• All data seamlessly transitions to NG9-1-1 schemas.

Recommended AI News: Gilead And AWS Collaborate On Development And Delivery Of New Medicines For Patients