This document provides a summary of a webinar on revenue assurance industry updates from December 2014. It discusses statistics on revenue leakage from surveys, best practices including the Revenue Assurance Maturity Model (RAMM), and trends in areas like mobile billing complexity, charging systems, targeted process improvements, and new business models involving flat rates, family plans, and data sharing. It also outlines the TM Forum's work on a unified Analytics Big Data Repository to improve analytics capabilities.
12. 12
Use of Best Practices1
Use of RA Best Practices Documents by TM Forum Members
20 Respondents, 180 Indications less 38 N/A = 142
13% 19% 19% 19% 25% 27% 33%
44% 38% 44% 50% 38% 33%
47%
63% 56%
44% 44% 38% 31% 38% 40%
20%
6% 6%
31% 38%
(16) (16) (16) (16) (16) (16) (16) (15) (15)
0%
100%
GB941-B (RAMM) GB941 Guidebook TR131 GB941-E [1] GB941-D GB941-A (RASK) GB941-E [3] GB941-E [2] GB941-C RFX
Not familiar with it and not using it Familiar with it but not using it Familiar with it and using it
1: Source, TM Forum, Revenue Assurance Survey 2012
14. 14
RA Maturity Model (RAMM)
Use of RA Best Practices Documents by TM Forum Members
20 Respondents, 180 Indications less 38 N/A = 142
13% 19% 19% 19% 25% 27% 33%
44% 38% 44% 50% 38% 33%
47%
63% 56%
44% 44% 38% 31% 38% 40%
20%
6% 6%
31% 38%
(16) (16) (16) (16) (16) (16) (16) (15) (15)
0%
100%
GB941-B (RAMM) GB941 Guidebook TR131 GB941-E [1] GB941-D GB941-A (RASK) GB941-E [3] GB941-E [2] GB941-C RFX
Not familiar with it and not using it Familiar with it but not using it Familiar with it and using it
Widely used by the industry
A blueprint to improve RA operations
Internal and external benchmarking
Based on Capability Maturity Model (CMM) principles
15. 15
Revenue Assurance Maturity Model
Organization Process Measurement Technology
RA strategy
RA objectives, goals & incentives
Organizational fit
Sponsorship, ownership,
accountability and responsibility of
RA
Skill set of RA team
Business knowledge
Relationship with other
departments
Staffing levels
Communications
RA planning & review
Use of risk management
techniques
Change management involvement
& sign-off
In-life product reviews
Operation of primary controls
Operation of secondary controls
Investigation of discrepancies
Correction of identified issues
RA reporting
Adoption & sharing of industry best
practice
Measurement framework
RA control structure
Risk mitigation
RA control coverage & data quality
Leakage & benefits
RA control efficiency
RA control effectiveness
RA productivity metrics
Unmeasured leakage
Technology strategy
Technology acquisition
Functionality of RA toolset
Access to information
Data analysis
Use of RA technology
Ease of use
Degree of automation
Revenue coverage
Supplier management
Provides a method to assess the maturity of business activities that should
deliver revenue assurance objectives based on a quantitative maturity model
Maturity Model Assessment Areas:
18. 18
TM Forum - Revenue Assurance Metrics
Data Quality Revenue Leakage RA Process Effectiveness
Percentage of validated data Percentage of customer bills adjusted in a bill cycle Percentage of the recovered revenue value
Percentage of customers included to
reconciliation
Percentage of Unbilled and Underbilled Revenue over
Total Revenue
Quantitative description of the recovered revenue
value
Percentage of misaligned data records Value of Unbilled and Underbilled Revenue over Total
Revenue
Quantitative description of the recoverable
revenue value
Percentage of misaligned customers Percentage of Billable xDRs suspended or
errored/Total xDRs
Percentage of the recoverable revenue value
Ratio of Billing xDRs Records to Network xDRs
Records
Quantitative description of the average time for
recovery of revenue
Percentage of errors on Fulfillment orders Percentage of xDRs successfully recovered,
processed and billed after recycling over Total xDRs
Quantitative description of the cost of assets that
were unused or stranded
Percentage of Recovered and Recoverable
Customer Revenue over Total Revenue
Percentage of Verified and Accepted 3rd Party
Settlement Reports over Total S/P Settlement Reports
Quantitative description of the unfilled error fixes
orders
19. 19
Revenue Assurance Metrics, 2015 planned changes
Data Quality Revenue Leakage RA Process Effectiveness
Percentage of validated data Percentage of customer bills adjusted in a bill cycle Percentage of the recovered revenue value
Percentage of customers included to
reconciliation
Percentage of Unbilled and Underbilled Revenue over
Total Revenue
Quantitative description of the recovered revenue
value
Percentage of misaligned data records Value of Unbilled and Underbilled Revenue over Total
Revenue
Quantitative description of the recoverable
revenue value
Percentage of misaligned customers Percentage of Billable xDRs suspended or
errored/Total xDRs
Percentage of the recoverable revenue value
Ratio of Billing xDRs Records to Network xDRs
Records
Quantitative description of the average time for
recovery of revenue
Percentage of errors on Fulfillment orders Percentage of xDRs successfully recovered,
processed and billed after recycling over Total xDRs
Quantitative description of the cost of assets that
were unused or stranded
Percentage of Recovered and Recoverable
Customer Revenue over Total Revenue
Percentage of Verified and Accepted 3rd Party
Settlement Reports over Total S/P Settlement Reports
Quantitative description of the unfilled error fixes
orders
20. 20
Revenue Assurance Metrics, 2015 planned changes
Cost Assurance Maturity and Risk
Percentage of over payments to 3rd parties Maturity of Revenue Assurance operations as defined
in GB941-B V.2.
Percentage of over payments of
commissions and incentives
Change in the Maturity of Revenue Assurance
operations
Percentage of discounts, goodwill credits,
adjustments
RA residual risk level as defined in GB941-E
Percentage of unjustified discounts,
goodwill credits, adjustments value
Risk reduction following RA controls as defined in
GB941-E
RA coverage as defined in GB941-E
21. 21
TM Forum - Big Data Analytics Catalyst
1. Harnessing the power of Big Data
Analytics to improve customer
experience and achieve business
growth
2. Defining and implementing a new and
innovative concept for a unified
Analytics Big Data Repository (ABDR)
3. ABDR supporting multiple big data use
cases and commercial data analytics
systems, while avoiding data
replications
22. 22
TM Forum - Analytics Big Data Repository (ABDR)
A new and innovative concept!
A unified layer that can supports multiple use-case and multiple analytics
systems
Key Benefits:
− Avoiding data replications
− Saving in ETL costs/time
− Savings in hardware (storage & processing power)
− Faster time to implement new use-cases
23. 23
Future trends
Revenue Assurance
Area or Problem Space Traditional Focus Future Trend
Mobile Billing Sophistication
Relatively simple bills with bundled services to
verify rating and usage.
Complex mobile data plans with usage limits,
shared family plans. Onus moves to optmize
prices for specific lifestyle plans
Charging Complexity
Prepaid and charging require an inordinate
amount of revenue assurance due to multiple
platforms on the backend.
Market adopts centrally managed, but distributed
charging systems. Hybrid model allows postpaid
subs to pay for certain content/services on the fly.
Targeted Areas of Process
Improvement
Order-to-Provision
& Bill-to-Cash
End-to-end processes that assure the customer
experience in niches the business chooses to be
excellent in
Customers to Assure
Consumers and Small Business
(single account)
VIPs across Enterprise, Consumer and Partner
Markets (including group and hierarchical
accounts)
RA Maturity Dimensions
1) Data Completeness & Accuracy
2) Rating Excellence
3) Margin Analysis
4) Cash Flow /Dispute Management
5) VIP Customer Synchronization
Enterprise billing
RA departments play limited role in enterprise
business due to complexity of custom contracts
and subaccount hierarchies
Expanding enterprise portfolio in wireless, cloud
and IT outsourcing will require assurance
monitoring, particularly to mid-sized enterprises.
Source, TRI, The Telecom Analytics & Big Data Solutions Market, 2014
24. 24
Business models and products are changing
− Flat rates
− LTE
− Family plans
− Sponsored data
− Privileged data (?)
− QoS on demand
− Data exchange
− M2M / IoT
How does it affect RA?
RA and New Business Models