RIPA STOP 4+

Turbo Data Systems Inc

Designed for iPhone

    • Free

iPhone Screenshots

Description

ticketPRO RIPA solution will provide your agency the necessary tools and processes to comply with the CA AB953 RIPA ACT of 2015. The solution offers newly designed and developed applications to simplify and accurately collects the STOP data required by AB953. In addition to ensuring compliance, the app supports various platforms and conveniences to help maintain consistent data quality and integrity. Our solution offers customization as needed. Below are highlights of the many features and functions available as part of our offering.



Comprehensive solution to fully comply with AB953 – Racial and Identity Profiling Act (RIPA)
Complete STOP Collection Application Anywhere, Anytime and Anyhow
Convenient, fast and accurate 
Support for iOS


Support for custom data collection

Specify additional questions to collect data not related to RIPA and helpful for your agency
Specify answer type such as single/multiple answers, text response, Yes/No, etc.
Control if question is required or optional


Easy enrollment and usage tracking

Enrollment ID will be used to auto-register each user
Track usage and user count
License re-assignments
Additional licenses during the year are prorated


Reporting

Custom reports will be created and scheduled as needed
Predefined reports will be accessible and provided on a scheduled basis if needed
Reports will include STOP Activities, by group, user, supervisor, etc.


DOJ Export

Export data to DOJ on a scheduled basis
Data format will meet the specification and requirements set by the DOJ
Support for future requirements as they become available.

What’s New

Version 3.4.3

Bug Fixes

App Privacy

The developer, Turbo Data Systems Inc, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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