Quanovo | Data Technologies | Liverpool

Government

"The emergence of Big Data has become the newest natural resource of law enforcement"

James Lingerfelt, Senior Consultant with Global Smarter Cities Team at IBM

Government


It is likely the case that the largest collection of data held about a specific person, geographical area, industry and many other categories is to be found with governments and local councils. This, coupled with the increasing pressure for government departments to become more streamlined by cutting costs and increasing efficiency measures, means the public sector has been eager to reap the benefits of becoming Data Driven through the use of Data Science and Big Data.

The right data analysis and visualisation can allow police forces to gain a holistic view of criminal activity that can improve intelligence gathering, reduce crime and help define policing best practices. Through Data Science and Machine Learning security agencies are able to detect threats and terrorism before it happens, making citizens safer.

As prisons become more and more crowded inmates are often scheduled for early release to help with overcrowding. Therefore, when it comes to assessing an inmates chance of reoffending (Recidivism) Data Science techniques can help identify those likely to reoffend using Predictive Analytics.

In a similar way Tax Fraud & Money Laundering can be identified quicker using pattern recognition and other Machine Learning techniques. Suspicious activity stands out when viewing data in the right way and therefore can be targeted more effectively.

Perhaps one of the most exciting areas of the public sector that can benefit from Big Data analytics is that of Smart Cities. Local councils and government have already begun to research, and in some cases implement, Smart City technologies. These advancements aim to enhance the quality of life by analysing data on economic development, sustainability, transportation and other areas of city living.

With pressure to become more streamlined Operational Analysis has become a major tool to governments and local councils. Making use of Network Analysis can easily identify any bottle necks or black holes in the current system providing actionable insights.

Citizen Engagement and Policy Analysis is something that can bring government closer to the electorate. Using Social Network Analysis and Text Mining Techniques Data Science can provide insights into better understanding the public’s sentiment when it comes to potential policy changes. This in turn gives the added value of being able to develop strategies and improve performance while allocating resources and funds in a more beneficial way.

Increase Police Enforcement Efficiency

Recidivism Forecasting

Threat Analysis

Fraud Detection

Leverage Smart City Data

Gauge Social Sentiment

Targeted Social Media Campaigns


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Predictive Analytics

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Network Analytics

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Social Media Analysis

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Fraud Detection

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