Billing Mediation Systems

A billing mediation platform is a system used to convert data of certain datatypes to other datatypes, usually for billing purposes. Billing Mediation Platforms are used mostly by telephone companies, who typically need to process UDRs (Usage Detail Records). In call scenarios UDRs are most often known as CDRs (Call Detail Records), and among broadband carriers they are often referred to as IPDR.

The CDR/UDR datatypes could hold data such as NPX,NPA,Call Duration,peak time flag,call length and this data may be represented in binary formats. The billing mediation platform typically reads this data and converts into common normalized format.

Billing Systems and all other downstream systems, in turn, converts this data to component[its own] understandable format.

Billing mediation platforms get their name from their behavior: they "mediate" between a variety of other systems. In the typical telephone company scenario, the upstream systems (those providing data to the mediation platform) are network elements, such as telephone switches, and the downstream systems (those receiving data from the mediation platform) perform accounting, auditing, archiving, or bill-generation functions. The mediation system collects, collates and prepares data for consumption by the downstream systems, which often accept data only in a limited set of formats.

Typically a mediation platform is used for the following tasks:

1. Collection and validation of CDRs
2. Filtering out of non billing-relevant CDRs
3. Collating
4. Correlation of different input sources CDRs
5. Aggregation of partial CDRs related to the same call
6. Format change and CDRs normalization
7. Business transformation of data

In a telecom billing scenario, mediation is the first step after receiving a CDR. The mediated CDR is forwarded to a rating engine, which calculates the charge associated with the CDRs.In today's world Rating Engines are more becoming necessary for the telecom billing system to meet the growing variant customer needs for different services.^{[citation needed]}

Despite the name, not all of the data transferred via billing mediation platforms is actually used for billing purposes. For instance, the mediation software might generate traffic volume statistics based on the number and origin of the records passing through it. Those statistics could then be used for capacity planning, as part of a network monitoring procedure, or for any other business intelligence applications.

Sophisticated Billing Mediation software from various providers serves end to end functionality for Telecom Operators. Mediation software performs various operation from Collection to Downstream Distribution to modules like Retail Billing, Interconnect Settlement, Business intelligence, Fraud Detection, Revenue Assurance, Test Call Generation. Following list of activities provides an insight on Mediation software activities

1. Collection and Archive
2. Decoding/Encoding
3. CDR Normalization (Common Format)
4. Filtering
5. Conversion
6. Validation
7. Record Enrichment (Using Complex Reference Data)
8. Duplicate Record Detection
9. Aggregation or Correlation
10. Buffering
11. Cloning
12. Sorting
13. Downstream Format Mapping
14. Header and Trailer generation
15. Downstream Distribution
16. Error Messaging and Alarms
17. Auditing and Reports
18. Reconciliation
19. Reference Data Configuration
20. Provisioning services for the subscription.

Complementary to Billing Mediation functions, comprehensive mediation platforms also provide functionality dedicated to Service Provisioning (the two areas frequently intermix as services configured and used by the end customer result in usage data records generation in the network).

Mediating between the systems is not the only job that Mediation Platform can do. Actually this can be used as a provisioning agent. The basic provisioning commands can be configured within the mediation system and whenever we get a request for the system which does the provisioning, the request can be converted into a file , in which mediation can append the service provisioning commands and send it to HLR for activating any request. This of course , load dependent but can come very handy when there is a crisis in the other system.

At core Mediation involves data transfer between various systems with or without modification of data starting Network elements to OSS/BSS systems.

Mediation platforms for Telecom Practice supports various systems:

• Retail Billing
• Wholesale Billing - National and International
• Network Traffic Management
• Data Warehousing
• Reconciliation system
• Fraud Management
• Provisioning Feed to Sub-systems

Telecom operators offer Voice,video,data,fax and internet services to subscribers and partners on various product lines.Mediation products are tuned to provide solutions for complex business challenges.

Mediation

In revenue management, mediation is a process used to collect, validate, filter, collate, correlate, aggregate and convert data to create a data record that can be used for billing purposes. It is the first step in the billing process after collection of data records, and before Rating.

The data records produced by mediation were called Call Detail Records (CDRs), and contained all the necessary parameters to rate and bill a voice call such as call duration, distance, time of day and so on. Latterly, the record has become known as an xDR, IPDR, EDR and so on, to distinguish voice call records from records used to bill data services.

Historically, telecoms switches performed some of the mediation tasks, and mediation was often built into the billing solution. Mediation functions are not typically provided by a router, however. Thus with the move to data networks (packet switching), as well as the introduction of prepaid services and data services, mediation became far more complex. This resulted in a generation of specialist, standalone mediation platforms in the late 1990s and early 2000s. Over time most of these were acquired by billing vendors.

It should be noted, however, that data produced by mediation platforms is often used for non-billing purposes. For example, the mediation software might generate traffic volume statistics based on the number and origin of the records passing through it. Those statistics could then be used for capacity planning, as part of a network monitoring procedure, or for any other business intelligence applications. Other solutions such as Interconnect settlement, Business intelligence, Revenue assurance and Fraud management, Test Call Generation and so on, may use the data provided by a mediation platform.

Revenue assurance and Fraud management

Revenue assurance is the practice of identifying and remedying (sometimes preventing) financial underperformance in CSPs. Due to the complexity of revenue management, the complex nature of telecoms software infrastructure, combined with human error and suboptimal processes, CSPs 'lose' a percentage of revenue owed to them. Revenue assurance software, processes and practitioners seek to minimise these losses to the company and prevent them from occurring.

While revenue assurance processes and software seeks to minimise revenue lost due to incompetence or error, in contrast fraud management is the practice (aided by software solutions) of minimising financial losses due to deliberate or intentional theft (fraud).CSPs are subject to a number of types of fraud, and the types, scale and complexity of fraud continue to increase.

FRAUD
Fraud in telecommunications can be very complex and transversal to the operator structure. The authors propose a classification method used in the FMS case management that allows a better characterization of the fraud phenomenon and enables a detailed reporting. The approach used is based in the 3M’s classification:

Motive: the fundamental objective of the fraud.
1. Non-revenue fraud, making use of a service with intent to avoid the cost but without the intention of making money. It includes providing no-cost services to friends or private usage.
2. Revenue fraud, which intends financial benefits as in Call Selling or Premium Rate Service (PRS) fraud (described below).

Means: the nature or form of the fraud used to satisfy the motive. Some examples:
1. Call Selling: sale of high tariff calls – usually international – bellow their market value with the intent to evade the operator payment.
2. Premium Rate Services (PRS) Fraud: inflation of the revenue payable to a Service Provider by generating calls to a PRS line.
3. Surfing: use of other person’s service without consent which can be achieved, for example, through SIM card duplication (cloning), illegally obtaining calling card authorisation details or PBX hacking.

4. Ghosting: refers to obtaining free or cheap rate through technical means of deceiving the network. It can be performed, for example, by manipulating switch or database contents to ‘alter’ call records.
5. Sensitive information disclosure - involves obtaining valuable information (e.g. VIP client details or access codes) and selling it to external entities. This fraud is usually performed internally.
6. Content stealing: a more recent type of fraud, which deals with getting high value contents (videos, ring tones, games) for free, by exploiting the non real-time pre-paid billing pre-paid system (hot-billing) or by avoiding payment of the invoice (post-paid services).

Method: the generic fraud method.
1. Subscription: fraudulent subscription obtained with false credentials that allow debt accumulation by systematic payment avoidance.
2. Technical: more advanced fraud that is based in exploiting loopholes found in the operator network elements or platforms.
3. Internal: inside information systems abuse

4. Point of Sale: when the dealer manipulates sales figures to increase the compensations paid by the operator

A FMS should be able to collect data from multiple formats and sources, and through a process of data preparation and mediation, conveniently process and adapt it to the system internal data formats. Some of the relevant processes of this stage are data filtering, call assembly and call rating. With some FMS tools, it is possible to perform data enhancement through cross-relation of different data sources, which may boost performance in some more complex detection techniques.

Subsequently, detection processes are applied in order to generate alerts on situations that deserve closer investigation by fraud analysts. Some of the relevant techniques used in this stage are rule–based detection and profiling through Artificial Intelligence (AI) techniques like neural networks or decision trees.

Fraud analysts investigate alerts by accessing all relevant information (detailed client/account information, associated Call Detail Records, alert details, client alert history…) needed to conveniently assess the alert. Alert clarification may also benefit from graphic information describing client consumption profile.

Detected fraud cases are then forward to a case manager to initiate subjacent bureaucratic processes subsequent to fraud identification. All relevant information (e.g., CDR details, detailed client information, related alerts…) is attached to the case and the specific case fraud is classified (involved

services and fraud motives, means and methods) along with financial indicators quantifying performed fraud detection gains against fraud losses.

Finally, the system must provide friendly and complete reporting tools, thus allowing access to all relevant information to analyst, fraud process manager and system management information.

Fraud tackling efficiency may also benefit from seamlessly integrating and cross-referencing multiple data sources (client and billing information), which may enable focusing on most suspicious alerts.

Versatility and adaptability of fraudsters imply usage of different tools and technologies for each scenario. These tools must handle huge data volumes (e.g., billions of call records) and allow the integration of any new relevant technology. Additionally, the regular advent and new services and client growth implies easily scalable tools.