Big Data

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About the session

Traditional data processing methods often struggle to manage the large and complex data sets that government organisations generate - data sets characterised by their high volume, velocity, variety, veracity, and value (5 Vs of Big Data). And no matter how big your data is - bad data is bad data.

  1. Predictive Analysis: What large-scale data sources are considered the most valuable for predictive analysis in government, and how can the quality and accuracy of these data sets be ensured? In what ways can we leverage Big Data for iterative improvements of predictive models, and adapt these models based on new data trends?

  2. Scalability: Big data introduces unique challenges in data storage and management. How should we plan to build and maintain a data infrastructure that can cope with the demands of big data, accommodating various data types and formats?

  3. Skills and Capacity Building: Managing and analysing Big Data requires specific skill sets. How are departments currently equipped in terms of personnel and expertise to handle Big Data, and what future training or hiring initiatives will be required?