Crime Prediction: 10-Wk Proof of Concept

Our experts use Power BI and Machine Learning to predict the probability of the occurrence of a crime, in a particular place, on a particular day and time.

Agenda

Week 1-4

• Analysis data sources
• Transform data to fit the needs of our advanced analytical solution
• Cleanse data and remove errors
• Modify data types to support specific calculations

Week 5-7

Construction of prediction models to obtain a risk index by type of crime / hour / day / location. The following prediction techniques are used:

• Neural networks
• Logistic regression
• Multinomial regression
• Decision trees

Construction of explanatory early warning models for modus operandi. Types of modus operandi; up, to the low, news.

Week 8-10

• Display of probability of occurrence by type of crime / day-time / modus operandi and location (block):

Map where you can choose:

• The risk of occurrence indicator by type of crime / day / hour.
• The granularity level of visualization: points, blocks, quadrants, zones, etc.
• A particular polygon to filter the rest of the report

Context graphics where you can display the filter used on the map:

• Risk factors
• Historical view of crimes
• Context variables

Deliverables

The following deliverables will be provided as part of this engagement:

• Proof of Concept Summary and Recommendations
• Dashboards in Power BI to analyze the results