This universal content portion will review the basics of how data science, machine learning, and AI can generate predictions and recommendations, with special emphasis on forecasts applicable to FP&A Professionals. The lessons will cover the data prerequisites as well as the human factors that make automation work. In addition, the materials will discuss the elements and qualities that affect the successful implementation of digital solutions.
1: Understand the Full Scope of Data Applications in Business
2: Architect Systems for Agility and Scalability in a True Partnership with IT
3: Lead Rapid Implementations That Deliver Quick Wins and Sustainability
4: Harness Data with Ease and Transparency
5: Lead Data Quality and Master Data Management for Best Analytics Results
6: Becoming an Advocate of Data Culture and a Change Leader
7: Design Processes for Performance and Sustainability