From Fragmented Tax Data to Connected Intelligence

Tax authorities are managing more data than ever, but more data does not automatically mean better insight. Filing systems, payment records, third-party reports, customs data and case files often remain fragmented, leaving investigators to reconstruct information that already exists across the organization. At the same time, digital platforms, crypto assets and increasingly sophisticated fraud networks are making non-compliance harder to identify through traditional, transaction-by-transaction approaches. 

This new eBook explores how tax and revenue authorities can turn fragmented information into connected revenue intelligence, creating a trusted view of taxpayers, businesses and the relationships between them. By resolving entities and uncovering connections across tax, customs and financial crime data, authorities can identify hidden networks, prioritize higher-risk cases and move intervention closer to the point where revenue loss can still be prevented. 

In this eBook, you’ll learn how to:

• Connect fragmented tax data to create a trusted, entity-centric view of taxpayers, businesses and counterparties. 
• Reveal hidden networks and relationships that may be missed when transactions and cases are assessed in isolation. 
• Turn growing volumes of digital and transaction data into context, including information generated through ViDA, CARF and Form 1099-DA. 
• Make earlier, explainable decisions using entity resolution, network analytics, event-driven decisioning and trusted AI. 
• Start with a focused use case, from a persistent fraud typology or high-risk taxpayer group to a single crypto, customs or data challenge, rather than a wholesale platform transformation.