DOI - Incident Management, Analysis, and Reporting System (IMARS)
Investment ID: 010-000000319
Overview
Program Title
DOI - Incident Management, Analysis, and Reporting System (IMARS)
Description
IMARS is a Department-wide, information collection, analysis, and reporting system that provides the common capability across all bureau law enforcement programs as the primary objective. Users can enter and manage data relating to law enforcement incidents, traffic crashes; major criminal/internal affairs case management, ticketing, evidence/property management, victim services, custody management, suspicious activity reporting, and Uniform Crime Reporting (UCR)/National Incident-Based Reporting System (NIBRS). IMARS allows all users the ability to create reports in various formats, sort data, conduct data analysis and interface with other systems, both internal (Computer Aided Dispatch (CAD)) and external (eGuardian, NDEx, etc.) to the Department. The Office of Law Enforcement and Security has been managing this investment since 2010.
Type of Program
Major IT Investments
Multi-Agency Category
Not Applicable
Investment Detail
IMARS provides a DOI-wide information collection, analysis, and reporting system for incident information from three inter-related activities: law enforcement, security, and emergency response services. The primary objective of IMARS is to provide a common capability across all participating functional areas for capturing, reporting, and sharing incident information. IMARS allows Department and bureau personnel to record law enforcement and related events, create reports in various formats, sort data, conduct data analysis and interface with other systems, both internal and external to the Department. Overall, IMARS gives the Department an enhanced ability to:
Prevent, detect and investigate known and suspected criminal activity.
Protect natural and cultural resources.
Capture, integrate and share law enforcement and related information and observations from other sources.
Identify needs (training, resources, etc).
Measure performance of law enforcement programs and management of emergency incidents.
Meet internal reporting requirements (including, DOI Level 1 and Level 2 Significant Incidents).
Meet external reporting requirements including Uniform Crime Reporting and NIBRS Reports to the FBI.
Meet external reporting requirements including Suspicious Activity Reporting to the FBI.
Analyze and prioritize protection efforts.
Justify requests and expenditures.
Assist in managing visitor use and protection programs.
Training (including, incorporation into FLETC programs).
Investigate, detain and apprehend those committing crimes on DOI lands.
Investigate and prevent visitor accident injuries on DOI lands.
Provide information to the Department and Bureaus related to Activity Based Costing.
Access and enter law enforcement information in a disconnected, field environment.
Increase Officer Safety.
Provide consistent reporting for tribal law enforcement agencies across Indian Country.
Provide access to external databases for querying relevant suspect and law enforcement related information.
The IMARS Investment reached its return on investment (ROI) shortly after full deployment in 2012. Since that time, the investment has been estimated to save $155 million in Law Enforcement operational costs across participating bureaus. FWS, as a non-participating bureau, continues to invest in their legacy system, duplicating IMARS costs and efforts at $6.2 million annually. This represents a conservative cost for the duplication of reporting across each of the five law enforcement programs in the Department served by the enterprise system, a cost savings of $31 million, annually. With an operating budget of $4.7 million in FY2018, the program continues to operate below the estimated $4.9 million as planned in the Alternatives Analysis, and well below the FWS stand alone, legacy system operational costs of $6.2 million.
Prevent, detect and investigate known and suspected criminal activity.
Protect natural and cultural resources.
Capture, integrate and share law enforcement and related information and observations from other sources.
Identify needs (training, resources, etc).
Measure performance of law enforcement programs and management of emergency incidents.
Meet internal reporting requirements (including, DOI Level 1 and Level 2 Significant Incidents).
Meet external reporting requirements including Uniform Crime Reporting and NIBRS Reports to the FBI.
Meet external reporting requirements including Suspicious Activity Reporting to the FBI.
Analyze and prioritize protection efforts.
Justify requests and expenditures.
Assist in managing visitor use and protection programs.
Training (including, incorporation into FLETC programs).
Investigate, detain and apprehend those committing crimes on DOI lands.
Investigate and prevent visitor accident injuries on DOI lands.
Provide information to the Department and Bureaus related to Activity Based Costing.
Access and enter law enforcement information in a disconnected, field environment.
Increase Officer Safety.
Provide consistent reporting for tribal law enforcement agencies across Indian Country.
Provide access to external databases for querying relevant suspect and law enforcement related information.
The IMARS Investment reached its return on investment (ROI) shortly after full deployment in 2012. Since that time, the investment has been estimated to save $155 million in Law Enforcement operational costs across participating bureaus. FWS, as a non-participating bureau, continues to invest in their legacy system, duplicating IMARS costs and efforts at $6.2 million annually. This represents a conservative cost for the duplication of reporting across each of the five law enforcement programs in the Department served by the enterprise system, a cost savings of $31 million, annually. With an operating budget of $4.7 million in FY2018, the program continues to operate below the estimated $4.9 million as planned in the Alternatives Analysis, and well below the FWS stand alone, legacy system operational costs of $6.2 million.