Gilbert, Arizona, one of the fastest-growing communities in the United States, has embarked on an ambitious journey to become the "City of the Future". This mission is driven by innovative solutions that anticipate change and create a sustainable future for its residents. A pivotal step in this journey was partnering with SDG Group to implement a Data Governance Strategy, engineer a centralized data technology stack, and support data visualization creation as part of their Performance Management initiative.
In this article, we are proud to highlight a portion of Gilbert’s larger success story by showcasing their “Part 1 Crimes” dashboard. Fill out the form below to access the full success story:
The Digital Forensics Unit (DFU) in Gilbert’s Police Department is a specialized team comprising four detectives, a civilian audio/video forensic analyst, and a sergeant. This unit is tasked with conducting forensic examinations in criminal cases that involve digital evidence. DFU detectives receive specialized training to identify and preserve digital evidence in various types of criminal cases, including:
The DFU dashboard, developed by SDG Group, tracks three critical metrics that provide a comprehensive overview of the unit’s workload and efficiency:
Total Gigabytes Processed by Month: This metric tracks the volume of digital data examined by the DFU each month, highlighting the extensive nature of their investigations.
Average Number of Days to Process a Request: This metric measures the efficiency of the DFU in processing digital forensic requests, providing insights into their response times.
Total Devices Processed per Month: This metric tracks the number of devices examined by the DFU each month, indicating the unit’s capacity and throughput.
The data collected in these dashboards will provide valuable insights into the workload managed by DFU detectives, which often involves complex cases. This information will assist the Gilbert Police Department in evaluating future staffing needs for the unit and ensuring that resources are allocated effectively to handle increasing demands.