ACPEN: Data Science for Accountants – Business Analytics

Overview

In today’s environment of constant volatility and complexity, organizations are inundated with data yet often lack meaningful insights. The finance and accounting function has a unique opportunity to harness Big Data and the full spectrum of analytics—descriptive, diagnostic, predictive, and prescriptive—to enhance decision-making. However, collecting and reporting data is not the same as analyzing it to extract actionable intelligence. Compared to fields like marketing, sales, and supply chain management, finance has been slower to adopt advanced analytics. This course explores how CFOs and finance leaders can close that gap and transform their function into a true driver of strategic insight.

Highlights

• The Rise of Business Intelligence (BI), Business Analytics (BA), and Big Data
• Why the interest in BI and BA?
• The analytics continuum
• How BA can provide a competitive advantage
• The difference between BI and BA
• The difference between forecasting and predictive analytics
• Fundamentals of analytical techniques
• Examples for the CFO and accounting function
• Benefits from applying analytics
• The impact of artificial intelligence (AI) on the accounting profession

Prerequisites

None

Designed For

CEOs, CFOs, Controllers and other corporate professionals

Objectives

• Understand how Business Intelligence (BI) and Business Analytics (BA) can help you make sense of your organization's data

Preparation

Some data analysis experience is helpful