Big DataOpportunities for PMR Operators and Public Safety Organizations

Tapio Savunen Director, Business Development

01 June 2016

Topics• Big Data – Short Intro

• Big Data and Public Safety

• Key Success Factors

• Conclusions

Google – Big Data Machine #1

• 50B web pages

• 40,000 searches every second

Evolving, complex search

algorithms –

665 improvements in 2012

Figure from Wikimedia Commons, the free media repository

Big Data –Multiform & Complex Data, Analytics, Added Value

ITERATION

Big Data and Public Safety

Data a Strong Asset within Public Safety

Predictive Policing –Crime Forecasting in Law Enforcement Operations

Figure: Rand Corporation; Predictive Policing – The Role of Crime Forecasting in

Law Enforcement Operations; 2013

Predictive Policing tools –

Common Situational Awareness

• Support tools for police

patrolling – integrated with

everyday operations

• Helps to identify potential

targets for police interventions

• Based on several information

sources and statistical analysis

Proven results with Predictive Policing

Source: PredPol

• LAPD ‘s Foothill division saw a 20% drop in crimes year over year from January 2013 –2014

• Atlanta Police Department’s aggregate crime decreased by 8% to 9% in the two areas that first deployed PredPol in July 2013

• Modesto, CA PD just reported the lowest crime rates in 3 years since deployment in January 2014

• The Norcross Police Department saw a 15-30% reduction in burglaries and robberies, just four months after it deployed the technology in August 2013

• Alhambra, CA PD reported a 32% drop in burglaries and a 20% drop in vehicle theft since deploying in January 2013. The city reported its lowest month of crime in history in May 2014

• 20% drop in crimes

• crime decreased by 8% to 9%

• the lowest crime rates in 3

years

• 15-30% reduction in burglaries

and robberies

• 31% drop in burglaries and a

20% drop in vehicle theft

TETRA Networks Analytics with Viewcor® -For PMR Operators and User Organizations

REAL-TIME ANALYTICS

USERS & GROUPS RADIO NETWORK

SPECIAL EVENT PLANS

VIP summits

Big sports events

New year’s Celebration

Hazardous chemical transfers

DATA

Viewcor® from Airbus - Real-time Visibility for Field Operations

Planning and monitoring of

special events

Visualization of the network load

and service impacts

Analysis of trends

Location of

disturbances with

analytics tools

Key Success Factors

Key Success Factors – Added User Value and Integration with Operational Models

Users value App vendors with

• end-to-end capabilities• proven experience in critical

communications

PMR Operators in a Key Position to Nurture Data Apps

In your opinion, what are the most important criteria to choose the vendor of mobile

broadband solutions?

39.6 %

37.5 %

22.9 %

22.9 %

20.8 %

6.3 %

2.1 %

50.0 %

50.0 %Vendor can deliver apps which work end-to-end

Proven experience in critical communications solutions

Long life-cycle of solutions

Apps can be used on the latest smart devices/platforms

(Android, iOS, Windows)

Demonstrated long-term partnership

Experience in working with governmental organizations

Experience in mobile apps

Large offering of different apps

Other

Source: Airbus Defence and Space; The Future of

Professional Apps – What app developers need to know

about the professional user market; 2015

ConclusionsBig Data

• Data – Analytics – Added value

• Data a strong asset

Follow Public Safety Drivers

• Improved safety

• Higher operational efficiency

• Key Success Factors

• Added User Value

• Working with users

• Integration with operational models

• PMR Operators in a key position –experienced in critical communications end-to-end

Questions

Thank You

Tapio Savunen Director, Business Development

M: +358 10 4080 525

E: tapio.savunen@airbus.com

www.securelandcommunications.com