CA35P Business Data Analytics

What Will You Learn?

• Discuss fundamental aspects of big data and data analytics from the CRISP (cross-industry standard process for data mining) framework, data visualisation and emerging issues
• Apply data analytics in preparation of financial statements, financial statements analysis and forecasting, carrying out sensitivity/scenario analysis and presenting financial data and metrics using dashboards
• Apply data analytics in financial management principles that include time value of money analysis, evaluate capital projects, carry out sensitivity/scenario analysis and present information using dash boards.
• Apply data analytics in management accounting to estimate product costs, breakeven analysis, budget preparation, sensitivity/scenario analysis and flexible budgets.
• Apply data analytics in auditing techniques including key financial trends, fraud detection, tests of control, model reviews and validation issues.
• Apply data analytics in estimating tax payable and in public sector financial management.