SGM Analytics

CASE STUDY OF
Revenue Assurance
Case study 1
The customer
Tier 1 Telecom (Market Leader)
Subscribers Size
40 million
Technical parameters
2.5G, 3G, LTE
The Agenda
Perform Revenue Assurance Audit
Uncover Revenue Losses
Audit Revenue Assurance Process and perform Risk Assessment
Customer has multiple incumbent leading technology and consulting vendors
SGM Analytics Uniqueness
Patented Analytics Algorithm helped achieve granular reconciliation and profile the resulting gaps that has led to realisation of benefits to customer
Benefit
Quantification
usd200
million
The Results
22 findings from the same datasets, undetected with existing tools and analysis methods
Uncovered severe data quality issues in existing Probe data, limiting consequent Analytics use cases
Clear quantification of huge losses forced revamp of product design and evaluation strategy
Profiling of data helped attribute losses to specific parameters / settings / practices
Case study 2
The customer
Tier 1 Telecom (Duopoly)
Subscribers Size
9 million
Technical parameters
2.5G, 3G, LTE
The Agenda
Perform Revenue Assurance Audit
Uncover Potential Losses
Tier 1 Operator with confidence on their own Revenue Assurance systems. No new losses were expected to be discovered in the system
SGM Analytics Uniqueness
Patented DEP and Analytics Algorithms used to independently extract data and help detect losses in the network
Patented Data Extraction Platform could track and uncover issues impacting network capacity
Benefit
Quantification
usd18
million
The Results
More than 2% losses reported, amounting to USD 18 M annualised
Specific scenarios causing network capacity degradation were reported
Case study 3
The customer
Tier 1 Telecom (State Owned)
Subscribers Size
9 million
Technical parameters
2.5G, 3G
The Agenda
Perform Revenue Assurance Audit
Tier-1 operator with no significant revenue loss reported, anticipating no new gaps in their revenue chain
SGM Analytics Uniqueness
Patented Data Extraction Platform and Analytics algorithm could track and profile the losses
Network Analytics algorithms used to expose network errors which were never visible and interpreted
Benefit
Quantification
usd11
million
The Results
More than 2% losses reported, amounting to USD 11 M annualised
Demonstrated the occurrence of more than 4% data revenue losses due to network errors which were not detected by Network Operation Centre and correlated for revenue impact