The process of estimating future financial outcomes based on historical data and analysis.

Using Microsoft Excel to create financial models that simulate business scenarios and outcomes.

Financial practices and principles tailored specifically for new and emerging businesses.

Statistical techniques used to analyze numerical data for forecasting and decision-making.

The assessment of financial data to understand a company's performance and make informed decisions.

A financial statement that summarizes revenues, costs, and expenses to show profitability over a period.

A projection of cash inflows and outflows over a specific time frame, crucial for liquidity management.

A financial statement that provides a snapshot of a company's assets, liabilities, and equity at a specific time.

Forecasting methods based on subjective judgment and non-quantifiable information.

Past financial information used to identify trends and inform future forecasts.

Key premises that underpin financial forecasts, affecting their accuracy and reliability.

Evaluating historical data to identify patterns that can predict future performance.

The ability to adjust financial forecasts based on changing market conditions.

Methods used to predict future financial performance, including both quantitative and qualitative approaches.

The graphical representation of data to highlight trends and insights for better analysis.

An evaluation method allowing students to reflect on their understanding and progress.

Established methods that enhance accuracy and efficiency in financial forecasting.

A representation of a company's financial performance, often built in Excel, used for analysis and decision-making.

The net amount of cash being transferred into and out of a business.

Standards used to assess the quality and effectiveness of financial models and forecasts.

A formal display of financial forecasts and models to stakeholders for feedback and decision-making.

Structured approaches used to create financial forecasts based on various data inputs.

An in-depth financial forecast that integrates multiple financial statements and projections.

A practical task designed to apply learned concepts in a real-world context.

Estimates of future financial outcomes based on current and historical data.

The ability to analyze data effectively to draw meaningful conclusions and insights.