Police forces are under increasing pressure to modernise their data environments while continuing to deliver effective and transparent policing. However, many organisations are still operating with fragmented legacy systems, siloed operational data, and inconsistent governance processes that limit their ability to generate actionable insight.

In this video, Ben Jarvis, CTO for Data & AI at Telefónica Tech, discusses how police forces can begin their data transformation journey by taking a pragmatic, governance-led approach to modernising their data foundations.

The discussion explores:

• The challenges created by legacy systems and siloed policing data
• Why data quality, security, and governance are critical to operational effectiveness
• How centralised data platforms can improve transparency and decision-making
• The importance of incremental, use-case-led transformation
• How modern data architectures can support more efficient investigations and resource allocation

The video also highlights how technologies from Microsoft and Databricks can help forces build secure, governed, and scalable data platforms that support both operational insight and future AI adoption.