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Data is a strategic asset in all aspects of the public sector. By learning the skills to analyse the right data effectively, public sector employees have the ability to discover new insights, predict future trends, improve efficiency and make better decisions that improve public services.
IoT allows organisations to connect and integrate data from various devices, and automatically apply analytics to them, reducing time to action, and improving understanding of what interventions will help service users.
With significant use of personal devices such as smartwatches that collect medical data, analysts can assess patients’ risk of health decline in real time.
Organisations can embed predictive algorithms to forecast demand and provide an evidence base to understand where and when to best deploy resources to optimise outcomes and maximise return on investment.
Augmented analytics can generate the insights needed for evidence-based decision-making at all levels across organisations. Powered by Machine Learning (ML) and Artificial Intelligence (AI), augmented analytics can provide real-time, easily consumable data and contextual suggestions for relevant insights.
Synthetic data is artificially generated by computer programmes and algorithms instead of real-world events. This has the significant benefit of eradicating any personally identifiable data, meaning organisations will use it to undertake advanced analysis and enhanced simulation modelling on datasets without having to overcome data protection and information governance constraints.
Natural Language Processing (NLP) and Conversational AI enable organisations to easily analyse any unstructured text data for trends and insights that are hard to notice with the human eye.