RAID Rating and Billing Validation (RBV) provides an automated auditing mechanism that simplifies the complex tasks around rating and charging in a multi-partner and multi-price service provider environment.
For communication service providers (CSPs) that want to quickly release, promote and discount services based upon a customer’s unique preferences, while simultaneously encouraging the use of additional revenue-generating applications, RAID RBV delivers auditing controls that prevent revenue leakage and enhance the customer experience.
Converged billing with real-time rating and charging enables CSPs to create innovative, customer-centric propositions, providing differentiation in a competitive market.
Mobileum's RBV can effectively respond to the CSP’s billing accuracy needs, whether they are simple (e.g. one-time fee, recurring flat fee), or complex (e.g. using promotions, discounts, adjustments, or credits) and independent of the customer type (prepaid, postpaid, or hybrid).
Rating & Billing Validation (RBV) monitors the billing process by validating billing data against historical and statistical data, or against other preferred data sources, to assure invoice accuracy.
Built-in aggregated validations guarantee high performance in the analysis of invoices, while detailed validations allow drill down into the source of the problem. With Rating and Billing Validation, CSPs are able to control revenue leakage due to billing and invoicing problems, and efficiently track and correct the underlying errors.
Mobileum Revenue Assurance modules include a set of prebuilt business validations that help analysts to address issues right out-of-the-box. Due to its intuitive graphical modelling interface, RAID’s business validation features enable operators to explicitly define, analyze, execute, audit and maintain a wide variety of rules that map directly to a business’s underlying business logic.
Multiple built-in checkpoints can ensure that all issues identified are reported and tracked, providing an all-inclusive view of the risk management process, enabling service providers to rapidly evolve the prevention of revenue leakage on a continuous basis.
RBV “rule-based” re-rating engine and ML capabilities supports a variety of discount type auditing – from simple discounts on a single product to complex discounts on multiple offers, promotions, bundles, or ‘joined accounts’. Mobileum's RBV enables robust features, such as:
❖ Flat discounts (fixed cash amount deduction)
❖ Percentage discounts
❖Volume discounts (based on the quantity of product/service, number of calls or minutes)
❖Revenue discounts (based on the invoiced amount for product/service or calls)
❖Tiered discounts (volume and revenue discounts applied separately for each volume tier)
❖ Applied discounts to selected products, usage, or entire order
❖Loyalty rewards (discounts based on customer credit rating and/or length of customer relationship)
The diversity of product and service bundles, tariff plans and migration options increase the possibility of in-correct billing configurations. These offers are usually configured in convergent billing systems where multiple access technologies and billing methods are implemented.
Due to the complexity of these billing systems, and the variety of customer offers available, there is significant risk to the integrity of the rating process. Separate the rating from the billing system to deliver special offers, promotions and bundles to subscribers without suffering the service degradation that traditionally comes with complex charging scenarios.
Using several elements of machine learning throughout the Rating and Billing Validation (RBV) process, we are able to identify line items that have the highest likelihood of needing attention from revenue assurance managers.
The system compares submitted line items to a set of rules that are based on the subscriber-specific service agreement. The resulting findings of these comparisons include issues such as non-billable activities and abnormal consumption patterns, as well as rate and activity mis-matches.
Focused on prioritized machine learning items, the system then ranks these line items by their likelihood of service agreement non-compliance and presents this information to analysts for more in-depth invoice review.
RAID for revenue assurance is powered by Mobileum's Active Intelligence Big Data Analytics platform.
With a range of prebuilt auditing and monitoring packages, built for Revenue Assurance, Fraud Management, and Business Assurance, Mobileum's Active Intelligence platform delivers a full-service solution from data collection all the way through to risk detection and traceability of case resolution.
The IoT industry faces specific challenges when it comes to IoT charging as related to the demand for rapid on boarding of new business models, multi-sided partnerships, integration of new devices and the ability to base charging on any service characteristics. At the same time, all the information presented to customers, partners and internal stakeholders must be relevant, accurate and up to date. Data processing in the IoT industry poses unique challenges that make event streaming processing the most reliable solution.
To address this complex event processing challenge, rating and billing validation that runs on the RAID streaming analytics platform can now enable millions of CDRs per second to be collected and processed in parallel.
Innovative and profitable ways to address the market depend on discount and promotional tactics to achieve business goals, like achieving customer acquisition and revenue targets. Maintaining billing accuracy while delivering bundles and managing hundreds of promotions can get complicated unless you have a revenue assurance solution designed for it.
Mobileum's RBV delivers the auditing mechanisms that enables accurate billing for thousands of products - from simple offerings to complicated bundles - while applying pricing at any level: plan, group of customers, partners, or particular customer.
