Predictive & Behavioural Analytics

Closely related to Big Data is Behavioural and Predictive analytics. These focus on providing insight into the actions of people through the analysis of large and varied data sets to uncover hidden patterns, and unknown correlations, to help make informed decisions

Behavioural Analytics centres on understanding how consumers act, and why, enabling predictions about how they are likely to act in the future. It allows providers in the private or public sector to make the right responses to the right consumer segments at the right time. Mainstream private sector uses are in eCommerce platforms, online games, web and mobile applications, and the IoT.

Predictive Analytics is the practice of extracting information from historical and real-time data sets to determine patterns and predict future outcomes and trends. Predictive analytics ‘forecasts’ what might happen in the future with an acceptable level of reliability, and includes what-if scenarios and risk-assessment. The defining function is the predictive score (probability) for an agent (individual, vehicle, machine, organisational unit, etc.) to aid with decision making in complex organisational processes. A representative example would be ‘credit scoring’ in financial services that uses customer’s credit history and current data to rank their likelihood of future credit payments on time. These technologies also show significant potential to aid decisions in government operations including law enforcement.

Related Papers and Publications

Algorithmic Government - The Computer Journal

The data science technologies of artificial intelligence (AI), Internet of Things (IoT), big data and behavioral/predictive analytics, and blockchain are poised to revolutionize government and create a new generation of GovTech start-ups. …

Paper #02

Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.

Paper #03

Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.

Paper #03

Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.
Related Events
Curabitur aliquet quam id dui posuere blandit. Quisque velit nisi, pretium ut lacinia in, elementum id enim. Mauris blandit aliquet elit, eget tincidunt nibh pulvinar aliquet quam id dui posuere blandit.

Next GovTechLab Event

Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.

Latest News

Ethical Concern Among Tech Workers

In this blog, Dr. Emre Kazim comments on a recent report into the ethical opinions and concerns of tech workers (‘technologists’). The recent Doteveryone report “People, Power and Technology: The Tech Workers’ View” (May 2019), is, to my knowledge, the first survey of...

read more

Data shouldn’t be allowed to speak for itself

Dr Vaughn Tan is an assistant professor at University College London’s School of Management. He received a PhD in Organizational Behaviour from Harvard University in 2013. Previously, he was an infantry signals logistician in the Republic of Singapore Army, then...

read more

Trust, Transparency and Tech (Policy Connect)

This item is a reproduction of a news post on Policy Connect’s report titled “Trust, Transparency, Tech on data and Technology Ethics” GovTech Lab’s Dr. Zeynep Engin provided evidence and was cited in this report. The All Party Parliamentary Data Analytics Group...

read more

Contact Us