Real Time Analytics

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About the session

The potential of Real Time Analytics in the public sector lies in its ability to improve decision-making, enhance service delivery, and support anticipatory problem-solving. However, leveraging these capabilities requires a robust data infrastructure, stringent data privacy measures, and assurance of data quality. There is also a need for specialised skills and tools to handle the speed and scale of real-time data processing.

  1. Enhanced Decision-Making: What time-sensitive challenges can we apply real-time analysis to; what would be the process to make such real-time insights actionable; and what would be the value of the expected benefits?
  2. Data Infrastructure: Considering the scale and complexity of public sector data, what kind of robust data infrastructure is required to support real-time analytics, and what is required to develop and maintain this infrastructure?
  3. Quality of Data: How can your agency ensure the consistent quality and accuracy of high-velocity data that underpins reliable real-time analytics?