Revenue Assurance
Mitigate fraud attacks, reduce losses and increase competitiveness.
How SAS® Delivers Revenue Assurance
SAS advanced analytics solutions enable utilities to reduce revenue leakage, optimize results across multiple processes, and generate the highest return on investment by taking a systematic approach to addressing credit and collections, as well as nontechnical loss.
How SAS® Helps With Credit & Collections
Derive deeper insights you can use to improve credit and collection cycles – and your bottom line.
Credit decisioning
- Reduce credit losses and boost profitability by making better, data-driven credit decisions.
- Develop, validate and implement unlimited application and behavioral scorecards in-house with an end-to-end, integrated solution that gets models and scorecards into production faster while reducing your model risk.
- Incorporate business rules and process and execution optimization in a seamless flow.
- Get better-performing models with integrated champion/challenger capabilities, enabling low-risk experimentation.
Model development & management
- Automate model selection to find the optimal credit risk scoring, behavioral and propensity models from hundreds of candidates.
- Manage the performance of all your models to ensure the best result across changing operating conditions over time.
Collections optimization
- Integrate and augment recovery data from a variety of sources.
- Explore and segment to design targeted interventions that you can execute across multiple channels.
- Track and measure intervention performance and responses and feed results back into your analytics environment to improve models.
Why do utilities choose SAS® for credit scoring and collections optimization?
SAS provides credit analysts with the ability to maximize economic outcomes by making the most of each individual customer communication in the credit and collections process.
Predict cash flow, manage risk & reduce bad debt
Assess and control risk in your existing consumer portfolios and improve your acquisition strategies. Advanced predictive analytics enable you to gain a better understanding of the specific risk characteristics and subsequent attributes that lead to delinquency, default and bad debt.
Understand propensity & ability to pay
Take a more personalized and analytics-driven approach to managing debt by building risk scores for customers based on credit ratings, usage patterns and payment history.
Determine the best payment offers for individual customers
Test and optimize treatment strategies using predictive analytics and what-if scenarios. Improve the customer experience by offering the rate and payment plan most likely to help customers keep accounts current.
Increase collection process effectiveness & efficiency
Segment customers according to risk attributes, demographics, behavior, etc., and boost conversion rates by adopting different collection strategies that take customer experience into account. Adapt collection methods to individual segments and refine the communication channel, timing and message for interactions with each customer.
Reduce default rates & durations
Increase the value of settlements and payment plans. Find the best exit strategy for individual customers to ensure fair outcomes and the best customer experience.
Each year we want to do more and work faster – providing more intelligence to the business because that's what will ultimately make us more competitive – and SAS helps us to do that. We now mail out 43% fewer reminders to [guaranteed payers].Duncan Bain Risk Analytics Manager Scottish Power
How SAS® Delivers Trusted Protection From Nontechnical Loss
SAS enables superior nontechnical loss detection and more efficient, effective investigations.
Advanced analytics
- Detect fraudulent patterns and other anomalous behavior in monthly, weekly, daily, hourly and subhourly data using data mining, machine learning and feature extraction capabilities.
- Uncover suspicious activity in real time and automatically route the highest-priority cases for review using a combination of heuristic rules, anomaly detection, predictive modeling and social network analysis.
Customer-centric data sources
- Identify suspicious activity and hidden relationships in diverse data sets associated with smart meters, communications networks, call centers, meter repairs and replacements, meter tampering and inspection data, billing data and case referrals.
- Improve information credibility by integrating disparate data sources, regardless of format, and applying embedded data quality techniques to ensure accuracy.
- Combine AMI/AMR data and billing, payment and arrears data with geographic location for a holistic, customer-centric view of nontechnical loss that’s unrestricted by data source.
Configurable workflow
- Promote systematic investigations and capture and display all information pertinent to a case without duplicate data entry.
- Combine alerts from multiple monitoring systems, associate them with common individuals or entities, and automatically prioritize and route potentially fraudulent cases to appropriate team members.
- Monitor process performance from discovery to recovery with automated analysis, scoring and alerting, and case management.
Why do utilities choose SAS® for nontechnical loss?
SAS provides credit analysts with the ability to maximize economic outcomes by making the most of each individual customer communication in the credit and collections process.
Protect customers & employees, as well as revenue
Deter tampering with electrical equipment and decrease risk of injury to customers and utility field crews.
Find & resolve revenue leakage faster
Use advanced analytics to uncover hidden relationships, detect subtle behavior patterns, prioritize suspicious cases and predict future risks. Quickly classify suspicious meter activity into theft and nontheft cases. Find patterns that indicate meter tampering and distinguish them from meter malfunctions and billing errors.
Improve Information credibility
Make better decisions using data you can trust by integrating disparate data sources regardless of format and applying embedded data quality techniques to ensure accuracy.
Ensure governance & compliance
Enhance audit and investigation effectiveness, defend investigatory outcomes, and improve relationships with investors, stakeholders and regulators.
The solution provided us with proof that one-time vendors create major risks, and we really needed to tackle that problem in the new Fluvius system. Thanks to the screening, we are now certain that fraud detection and optimization are under control.Joost Van Slycken Head of Supplier Management Fluvius