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Predictive Analytics + Customer Engagement = Bad-Debt Prevention

Thursday Aug 15, 2013 Presented by Energy Central
Virtual Event

Losses from bad debt cost utilities millions every year. By using predictive analytics in their customer strategy, utilities can improve the way they engage customers to prevent bad debt losses.

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Event Information

Location: Virtual Event,
Venue: Your Office
Event Price: 0.00 (US)

Organizer Information

Energy Central
Contact Name: Energy Central
Phone: 303-782-5510
 

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Predictive Analytics + Customer Engagement =
Bad-Debt Prevention

 
Click here to view the on-demand recording now.

 
Losses from bad debt cost utilities millions every year. By using predictive analytics in their customer strategy, utilities can improve the way they engage customers to prevent bad debt losses.

Click to view the recording now to you will hear Sachin Chincholi of Pitney Bowes Software, Bruce Gay, Monticello Consulting and H. Christine Richards of the Utility Analytics Institute, as they discuss how utilities can succeed by engaging in strategies such as:

Reactive Collections - Using predictive analytics to determine who to invest effort in for collections and to prioritize collections activities (with the aim of ranking those most likely to pay as well as successful outcomes).

Proactive measures - Pre-delinquency management to identify the triggers and events that take place before someone starts missing payments so the business can proactively communicate to those customers and keep them on a path away from delinquency.

Predictive Analytics + Customer Engagement
= Bad-Debt Prevention

Click to view now.

 
The Panel:

 


Bruce Gay
President
Monticello Consulting
 

 


Sachin Chincholi
National Practice Manager, Customer Analytics and Interaction
Pitney Bowes Software
 


 

 

 
H. Christine Richards
Director
Utility Analytics Institute
 

 

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This complimentary webcast recording is brought to you by: