Predictive Analytics in Frontline Services: What’s Possible in 2026

Frontline services are under increasing pressure to do more with limited resources. Predictive analytics is becoming a key tool in helping organisations anticipate demand, allocate resources more effectively, and manage risk in complex operational environments.

In this webinar, Cybit will explore what is realistically possible with predictive analytics in frontline services as we move into 2026. The session will focus on practical use cases, governance considerations, and how analytics can be applied across multi-agency environments.

Rob Hankin will be joined by a guest speaker from Qlik to provide additional perspective and context. Guest speaker to be announced.

What we will cover

• Forecasting demand to support frontline planning
• Resource optimisation using predictive models
• Risk scoring and incident modelling
• Data governance considerations in multi-agency environments
• Use case demonstration
• Live Q&A

Key takeaways

By attending this session, you will:

• Understand how predictive analytics can support frontline service delivery
• Learn where predictive models can add the most operational value
• Gain insight into governance challenges in shared data environments
• See how these approaches can be applied in practice

Who should attend

This webinar is designed for:

• Blue Light digital and data leaders
• Operational and service delivery leaders
• Analytics and insight teams working in frontline environments
• IT and data leaders supporting operational services

Event details

• Date: Wednesday 25 February 2026
• Time: 10:00 to 11:00 AM (UK time)
• Format: Live webinar with presentation, use case demo, and Q&A

Speakers

Rob Hankin – Chief Technology Officer, Cybit

Guest speaker – Qlik
Speaker to be announced.

Register to understand how predictive analytics can be applied in frontline services and what organisations can realistically achieve as they plan for 2026.