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Tax Fraud Analytics

Tax Fraud Analytics

Detecting tax fraud is a top priority of federal, state and local authorities, but is

there a cost-effective strategy to combat this widespread problem?

  • According to the IRS, tax fraud threatens the integrity of our entire tax system
  • Such scams also increase the burden on legitimate taxpayers
  • But how do you translate such massive amounts of data into actionable intelligence?
Visualize an Array of Tax Information Analytics

  • Consolidated Balance Sheet: Comprehensive overview of taxpayer account, territory and liability
  • Debt Analysis: In-depth analysis of debts including account, taxpayer properties, fiscal type, debt age, territory, transaction type and more
  • Tax Fraud: Detects tax fraud and evasion, money laundering; offers risk analysis
A robust big data system that allows real-time analysis of taxpayer behavior

CAP*M Tax Fraud Analytics monitors overall taxpayer actions by analyzing tax-related activities including tax returns and related payments for all tax types, delayed or defaulted payments, under-payments and the analysis and alerting of increased and decreased revenue for various tax types.

CAP*M Tax Fraud Analytics application provides tools for tax debt control, risk analysis and taxpayer profiling to help prevent tax fraud and improve tax collection.

Additionally, our CAP*M Hyperscale Analytics Platform, working in tandem with the CAP*M Tax Fraud Analytics accelerates movement of this high volume of data, with near real-time analytics, at a lower cost than outdated legacy systems.

Overall, our CAP*M Tax Fraud Analytics provides analysis, inspection, insight, identification of behavioral patterns, and business and taxation trends—enabling you to discern patterns and links between entities, so you can:

  • Enhance taxpayer compliance
  • Improve statistical reporting and analysis
  • Create preconditions for improved control and measurement of tax revenue
  • Combat and reduce non-recording of trade
  • Address tax avoidance, fraud and evasion
  • Increase tax revenues
  • Suppress unfair competition and support reduction of the gray (untaxed) economy

CAP*M Tax Fraud Analytics can also support long-term objectives, including:

  • Achieving equal taxpayer treatment
  • Focusing the audit burden on non-compliant taxpayers
  • Optimal use of the available human, financial and technical resources
  • Increasing voluntary taxpayer compliance
  • Adjusting available resources to the level of risk
  • Weighting risks of compliant taxpayers becoming noncompliant and more
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