WEBINAR: Predictive Economics

Predictive Economics: Using analytics to streamline financial processes to reduce cost and time

Hosted by SRR

As data in the enterprise increase exponentially, it is imperative that organizations find better ways to utilize data and appropriate analytics to reduce cost and time expended in repeating processes. With a plethora of analytical techniques, hyped-up terminology and many companies offering products and services, it has become difficult to ascertain what could be useful. Most make ROI claims but seldom deliver. More importantly, to reduce cost and time in financial processes, a thorough understanding of business processes are required before applications of any type of analytics or technology. In this talk, we address how organizations can cut through the clutter and confusion created by the latest wave of technology and analytics, accompanied by misused terms such as machine learning, deep learning and artificial intelligence.

 

Using case studies, practical examples and a technology that has been developed over the past 2 decades, solving complex business problems in diverse industries including life sciences, energy, hi-technology, manufacturing, financial and legal services, we demonstrate how appropriate analytics and technologies can substantially reduce the cost and time expended in financial planning processes including but not limited to forecasting, budgeting and performance monitoring. We focus on shareholder value as the ultimate metric rather than tactical process improvement measurements, most of which may not have significant effect on firm performance. We demonstrate how human resource intensity can be significantly reduced in financial processes with associated reductions in total cost, errors and rework. We also illustrate how machines could be better at measuring, monitoring and managing risk with human assistance and the power of exception based management.

To learn more about SRR, visit:
http://www.srr.com/services/predictive-economics


Speakers

Mr. Gill Eapen

Managing Director
Stout Risius Ross

Credits

1.00 CPE
Basic

Method

group-internet-based

Field

Information Technology, Technical

Prerequisites

none

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