By the end of the course, participants should be able to:
- Appreciate the fundamentals of data and use of data in insurance
- Select appropriate techniques and consolidate data based on defined data requirements
- Ensure sufficiency and adequacy of data required for data analysis needs
- Organise collected data for analysis
- Understand ways to conduct preliminary analysis of data for review and verification
- Describe the usage of analytics in decision-making in business
- Explain the difference between Data, Information, and Knowledge
- Describe the role of data warehouses in decision-making
- Identify what Business Intelligence and Business Analytics is
- Briefly list the traditional technology platform used for business analytics
- Understand business problem, audience needs and objectives for story telling
- Select appropriate visualisation techniques and information displays to convey data and findings
- Organise the presentation of data to reflect trends and correlations
- Incorporate appropriate elements to create informative and dynamic data displays
- Communicate limitations of data and interpretations of findings
- Understand the Use of Data Analytics for Ratemaking, Reserving and Risk Controls
- Describe data trends and patterns ways suited to the audience’s level of understanding
- Understand Big data and modern data analytics in Insurance
