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Learn the fundamentals of revenue recognition
strategy and implementation!
Understand the issues associated with the
application of revenues to the general ledger in compliance with
regulations.
A must for Internal Auditors, Revenue Assurance
Process Analysts and Forensics Specialists
This class provides the student with a
comprehensive review of the many different issues associated with
revenue recognition and review the many different regulatory
frameworks, the rules each tries to apply, and the concepts related
to making the right application in the right way.
Duration:
1 day
Who Should Attend?
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Telecommunications
Internal and External Auditors |
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Revenue Assurance managers and forensic
specialists |
Overview:
Ultimately,
the goal of revenue assurance is to maximize the recognition of
revenue received. Indeed, revenues received and not accounted for in
the G/L are not revenues at all. In this course, we investigate the
issue of complex issues associated with revenue recognition.
Each of the major regulatory agencies on the
local, national and financial reporting domains (audit standards AND
compliance requirements) involve complex and sometimes conflicting
rules for how revenue recognition is to be approached and computed.
These issues lie at the core of all related revenue assurance
activities. Some of the major areas addressed include:
Key Concepts include:
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Definition
of Revenue Recognition and consideration of the different aspects of
its application |
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-Review of
revenue recognition and revenue accounting integrity issues under
SOX, GAAP, IFRS and other standards |
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Review
of revenue recognition issues and consequences
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Review
of major revenue streams and a consideration of the revenue
recognition issues for each:
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Voice
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Long
distance/ Intercarrier |
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Roaming
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SMS/MMS
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Content
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Data /
Packet |
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Prepaid
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Postpaid
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In depth consideration of the issues of
bundles and complex price plans
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Accounting
for customer premises equipment |
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Accounting
for handsets and subsidies |
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Accounting
for DSL equipment, PC’s and other devices |
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Loss
leader bundle scenarios |
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Forensic analysis techniques for the
identification and documentation of revenue recognition alternatives
and consequences |
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Methods for
the capture, analysis and reporting of complex rating and bundling
scenarios and their consequences |
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