The business demand on a modern statistician in the big data era

Philip Steyn from ABSA will present this Actuarial Sciences seminar.

Mathematical statistics and applied mathematics dominated industry, drive insights into various problem statements to enable business strategy and decision making across many sectors in the economy. Techniques associated with statistical sciences have been the go-to skill to enable complex problem solving.

Metrics derived using statistical techniques have specifically enabled the financial sector to perform risk measurement and to support sophisticated risk management. The advent of big data created hype around roles aligned to new domains that do not fully align to traditional sciences and techniques.

The data scientist role is often viewed as a modern role that is overtaking statistical science’s roles and is linked to buzzwords like deep learning, artificial intelligence and data mining. The velocity of data is increasing, systems and processes are more integrated than before, data quality is problematic and modern data management approaches are more agile than before. This talk will briefly introduce key concepts and definitions to discuss how modern statisticians should leverage new technology, approaches and capabilities to thrive in business.

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