What are we going to cover?

• Data Management & Financial Reporting:

  SAS allows efficient management of large financial datasets from various sources, enabling data cleaning, transformation, and integration. It also supports compliance and regulatory reporting, helping financial institutions meet auditing and legal requirements. Additionally, SAS enables the creation of customized financial reports and dashboards for effective data visualization and communication.

• Descriptive & Predictive Analytics:

  SAS provides tools for summarizing and visualizing financial data using statistics, histograms, and scatter plots. Advanced predictive analytics techniques, including regression, time series analysis, and machine learning, help forecast financial metrics like stock prices, sales revenue, and risk assessments.

• Risk Management & Fraud Detection:

  SAS is widely used for credit risk assessment, market risk analysis, and fraud detection. It offers specialized algorithms for risk modeling, fraud prevention, and real-time identification of suspicious transactions, minimizing financial losses.

• Portfolio Optimization & Investment Strategies:

  SAS enables portfolio optimization by constructing investment strategies that balance risk and return. It supports asset allocation, portfolio rebalancing, and performance tracking to maximize financial gains within predefined constraints.