Predictive analytics can play a critical role in digital policing by helping to predict and prevent crimes and run internal police operations more effectively. But there is a challenge. How do police forces identify the data they need from the myriad of data sources that are available to them—both within and outside the organization?
To realize the full potential of digital police technology requires a new, coordinated and more focused approach—one that will take crime prevention to the next level by connecting individual missions with the data police officers really need, when they need it most.
The Accenture analytics forensic escalator defines what data sources need to be ingested, what kind of analytics are required to sift through the huge volumes of data, and how the assessment of risk will be conducted and operationalized based on that data.
For every police mission, from fighting gang crime and preventing child abuse to identifying corrupt officers, certain datasets hold the key to essential intelligence. Provided these can be rapidly identified, analyzed and acted upon, police forces will be able to prevent more crimes from happening.
In a recent Accenture survey, 88 percent of respondents said they were comfortable with the police using predictive technologies to prevent crime. We also know that the value of predictive police analytics can be significantly increased with a new, more focused approach.
The analytics forensic escalator introduces a robust process that draws together three factors:
It forces teams to be clear about the aim of their missions
It provides a framework for identifying the information that is needed to support each mission, at every stage
It provides legitimate reasons for requesting additional information, via any required surveillance authority, when this is in the interests of the overall mission and public safety.
The analytics forensic escalator gives police forces a rigorous process for defining each mission-critical dataset and mapping a pathway toward the information that matters most. The tool demonstrates how analysts’ efforts can be concentrated on tightly defined datasets across different stages of the mission. For example, the Santa Cruz police drove a 19 percent reduction in burglaries over a six-month period and, in the United Kingdom, Kent police successfully reduced street violence in one district by six percent.
For police forces worldwide, it is time to turn the challenges of information overload into opportunities for more effective crime prevention. The analytics forensic escalator provides improved insight, frees up analyst time, and enables police forces to combine a much wider range of information and intelligence in a coherent and integrated way. It provides a fully developed, tested, and proven solution to offer more targeted interventions and reduce risk (to the public and to officers) while increasing force productivity.