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Interactive simulation

Simulation of a data analytics dashboard

The data your daily operation generates answers concrete questions: when incidents spike, where, what type and how quickly they are handled. This dashboard shows it with a year of sample data.

DATA ANALYTICS · MEXICO CITY INCIDENTS
Incidents
1,189
Daily average
13.2
Median response
10.7 min
Peak hour
20:00
Handled in ≤10 min
45%

Incidents per week

07114112w agoThis week

By incident type

  • Theft390
  • Traffic accident259
  • Medical assistance224
  • Damage and other183
  • Fight133

Incidents by hour of day

0006121823

Top zones

  • Historic Center177
  • Iztapalapa177
  • Reforma–Insurgentes139
  • Gustavo A. Madero139
  • Tepito–Morelos135
  • Tacubaya104
  • Coyoacán100

Concentration by day of week and hour

Mon
Tue
Wed
Thu
Fri
Sat
Sun
0003060912151821
FewerMore

Fictitious data generated for this demo (4,200 records). In the real system it is fed by the CAD.

Try it

  1. 1Change the period and area to compare patterns.
  2. 2Toggle incident types on and off and watch the indicators recalculate.
  3. 3Hover over the charts to see each value, or switch to the table view.

What you are seeing

Key indicators

Total, daily average, response time and peak hour at a glance.

Day by hour

The matrix shows which days and hours carry the heaviest workload.

Areas and types

Side-by-side comparisons to put resources where they are needed most.

No spreadsheets

In the production system the dashboard feeds directly from case records and exports for reporting.

Simulation with fictitious data that runs entirely in your browser. The real system is configured with each institution's catalogs, roles and integrations.

Can you picture this with your data?

We set up a demo with the catalogs and real cases from your operations.