Zomalex | Data and AI Training

AI for Forecasting and Reporting – Course Outline

Who should attend

Finance professionals

Learning objectives

By the end of this course, participants will be able to:

apply AI-assisted techniques to forecast financial outcomes and trends in NHS settings
use AI to support more accurate and timely financial reporting
interpret forecasting and reporting outputs critically in the context of NHS finance decision-making

Course content

Forecasting and reporting are distinct activities, and each is covered in a separate module.

AI for forecasting

This section explores AI-assisted techniques for forecasting financial outcomes and trends.

Financial model building

Participants will learn how to build and adjust financial models in Excel, using parameters to test scenarios and support planning decisions.

Time-series forecasting

This module introduces financial time-series forecasting techniques, including statistical methods such as ARIMA, with a case study on an economic inflation time series.

Machine learning for forecasting

This section provides an overview of how machine learning techniques can be applied to forecasting tasks, including classification and regression models. It also includes a brief discussion of neural networks and deep learning, which underpin many recent advances in AI.

AI for reporting

This module covers the key concepts and techniques for AI-driven reporting, with a focus on reporting in Excel within an NHS finance context.

AI-driven data analysis

Good analysis is a necessary first step in creating credible reports. This module covers how AI can be used to analyse financial data, identify trends, and detect anomalies, helping NHS finance professionals make informed decisions.

Automated and assisted report generation

An overview of how AI can automate the generation of financial reports, including natural language generation and data visualisation techniques.