Move from Annual Budgeting to Rolling Forecasts with Data and Analytics
In today’s ever-changing business environment, organizations need an agile model for allocating resources to desired outcomes. This webcast explores agile budgeting and rolling forecast models that leverage big data, analytics, AI, and machine learning for a new level of dynamic performance measurement.
Format
Webcast
NASBA Field of Study
Finance
Level
Intermediate
CPE Credits
2
Author(s)
Aubrey Joachim
Availability
3 months
Product Number
WC3290059
Embracing agile budgeting to remain competitive
Digital transformation has extended to the budgeting and forecasting functions in today’s leading organizations. This webcast will show you how to move towards an agile approach to performance management that leverages the power of technology, including big data and analytics.
The traditional budgeting model is based on annual cycles followed by analyzing variances to fixed positions - a philosophy that is becoming dated. Many organizations are finding that a rolling forecast model that considers the impacts of dynamically shifting positions is more flexible and effective.
The perceived challenges of identifying changes in business drivers has been made easier and more reliable with the advent of big data, technology and analytics, providing predictive insights on business outcomes through fact-based modelling.
With finance teams and organizations as a whole moving to more of an agile environment, rolling forecasts are more relevant and allow for developing dynamic performance management frameworks that better support successful business management.
Learn how to make the shift to forecasting techniques based on predictive insights rather than unsubstantiated assumptions. Finance professionals helping their organizations remain competitive in a dynamic environment will not want to miss this webcast. Register today!
- CGMAs
- Management accountants
- Controllers
- FP&A teams
- Agile finance
- Budgeting
- Forecasting
- Rolling forecasts
- Data and analytics
- Recognize the mindset shift from using unsubstantiated assumptions in forecasting to fact-based modelling
- Identify the role of big data and analytics in the forecasting process
- Identify innovative technology-based techniques for improved forecasting in a dynamic environment
- Analyze why rolling forecasts support an agile approach to forecasting
- Identify a more relevant and dynamic performance management framework that works in an agile environment
Group ordering for your team
2 to 5 registrants
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