Accounting, Finance & Budgeting

Business Intelligence & Analytics for Finance Professionals Online Training Course

Business Intelligence & Analytics for Finance Professionals

LENGTH

5 Days

TYPE

Online

COURSE ID

AFBL1223

Upcoming Dates

VenueAvailable Date
Online23-11-2026
Online21-12-2026
Online18-01-2027
Online08-02-2027
Online08-03-2027
Online12-04-2027
Online10-05-2027
Online28-06-2027
Online12-07-2027
Online09-08-2027
Online06-09-2027
Online25-10-2027
Online08-11-2027
Online06-12-2027

Finance teams today are expected to do more than just report the numbers — they’re expected to tell the story behind them. Business Intelligence (BI) and Analytics give finance professionals the tools to do exactly that: turn data into insight, and insight into action.


This Business Intelligence & Analytics for Finance Professionals course is built to help you bridge the gap between traditional finance work and modern data-driven decision-making. Over five days, you'll explore how BI and analytics tools — like Power BI, Excel, Tableau, and predictive models — can support smarter planning, forecasting, and performance tracking.


We’ll cover key concepts like statistical analysis, data visualization, financial dashboards, and agile implementation strategies. But it’s not just about tools — it's about learning how to think analytically, identify what drives value, and communicate your insights clearly to decision-makers.


Whether you're creating your first financial dashboard or leading a BI initiative in your department, this course will help you build the mindset, skill set, and confidence to use analytics as a core part of your finance strategy.ofessional is to step-up and support the value creation process by moving from a narrow reporting role to embrace and exploit the full opportunities provided by today’s Business Intelligence (BI) and Business Analytics (BA) systems.

This course will focus on the tools and techniques used by world-class finance functions to provide the critical business insights C-Suite executives need for effective data driven decision management

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