Why fragmented tax data is becoming a RegTech risk

Why fragmented tax data is becoming a RegTech risk

Tax teams are facing a growing data governance challenge as information used for regulatory reporting and compliance becomes spread across increasingly complex technology environments.

TAINA Technology is highlighting this challenge through its analysis of how firms can create a “golden source” of tax information, bringing together data from different systems to establish a more consistent and trusted view for tax processes.

The issue is not necessarily a lack of data. Instead, organisations can struggle with having multiple versions of the same information across different systems, making it difficult to determine which record should be trusted.

This can become particularly problematic for tax functions, which often rely on information generated by other parts of the business. Customer details, entity classifications, tax documentation and identification numbers may sit across onboarding platforms, CRM systems, finance databases and specialist tax applications.

When those records are not synchronised, a change made in one system may not be reflected elsewhere.A customer address could be updated in a CRM while an older version remains in a tax application. A change to an entity’s tax classification could similarly appear in one reporting system but not another.

For compliance teams, these discrepancies can create a manual reconciliation exercise before information can be used for a filing, audit or regulatory response. The problem becomes more significant when inaccurate or inconsistent data feeds into regulatory submissions or internal controls.

As firms face increasing expectations around data quality, traceability and governance, tax teams need to be able to demonstrate not only what information was used, but where it came from and how it was validated.

This is where the concept of a “golden source” can become relevant. Rather than maintaining competing versions of tax information across multiple systems, organisations can establish an authoritative source for specific tax data and determinations.

The model does not necessarily require businesses to replace their existing systems. Instead, a dedicated tax data layer can sit between different applications, bringing together relevant information and applying validation before distributing trusted results to the systems that need them.

This approach can also clarify ownership. The CRM system can continue to own customer information, for example, while a tax-specific system maintains the validated tax classification or documentation status derived from that information.

The distinction is important because tax functions rarely control all of the information required for their work.

They may consume data from onboarding, client management, operations and finance, while simultaneously producing information that other parts of the business depend on. Tax classifications, withholding outcomes, documentation statuses and TIN validation results can all need to move between systems. A centralised tax data layer can therefore operate as a controlled point through which information flows in both directions.

For RegTech teams, the significance extends beyond reducing manual work.

A controlled source of tax information can support stronger governance by providing greater consistency around the data used in regulatory processes. It can also reduce the risk created when different departments rely on conflicting records. However, creating a golden source does not automatically resolve data quality problems. Organisations still need clear ownership, appropriate validation rules and controls governing how information is changed and distributed.

The approach is therefore less about creating another central database and more about establishing a trusted control layer around tax-relevant information. As tax reporting becomes increasingly dependent on data drawn from multiple systems, firms may need to place greater emphasis on the infrastructure supporting that information.

TAINA Technology’s analysis highlights the wider RegTech issue: regulatory compliance is only as reliable as the data underpinning it. A validated source of tax information could help firms reduce reconciliation, strengthen data governance and improve confidence in the information used for compliance.

Read the full TAINA Technology analysis

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