About This Course
This course equips Finance SSC/GBS professionals with the skills to transform raw data into actionable insights using data analytics and AI. Participants will start with quick AI wins such as generating variance narratives and summarizing trends using AI-assisted tools, before progressing to advanced concepts like anomaly detection and predictive analytics. By combining foundational analytics techniques with AI-driven insights, this program enables finance teams to move from descriptive reporting to proactive decision support and conceptualize AI agent blueprints for continuous monitoring.
Learning Objectives
By the end of this program, participants will be able to:
- Apply quick AI wins such as using AI-assisted tools to generate variance narratives and summarize KPI trends.
- Prepare and interpret data for decision-making through visualization and narrative generation.
- Design alert thresholds and escalation logic for proactive monitoring of KPI drift andanomalies.
- Leverage predictive analytics and AI-driven insights to forecast trends and supportstrategic decisions.
- Conceptualize AI agent workflows for continuous oversight and decision automation
Prerequisites
Recommended: Course 1. Basic comfort with KPI reporting or dashboard
Target Audience
FP&A, reporting, performance management, finance analytics teams, SSC/GBS CoE members.
Training Outline
Foundations of AI Assisted Data Analytics for Finance Decision Support
- How AI-Assisted analytics supports finance decision-making
- KPI frameworks and metrics for SSC/GBS performance
- Data Preparation & Cleaning
- Building KPI dashboards
- Variance Narrative Generation – AI-assisted techniques to interpret data and create actionable insights.
AI-Driven Insights and Predictive Decision Support
- Designing Alert Thresholds
- Anomaly Detection & Escalation Logic
- Predictive Analytics for Decision
- Conceptualizing AI Agents
- Embedding AI into finance decision-making