Tax data integration: Cut manual work, unlock strategy

It’s 9 PM during provision close. Your most credentialed tax professional — fifteen years of experience, advanced credentials, top-quartile compensation — has three monitors open. One shows the ERP. One shows a provision spreadsheet. The third shows an email thread with a regional controller about a trial balance that won’t tie. She isn’t doing tax work. She’s doing data work.

This is the quiet paradox at the center of every direct tax department: the most expensive professionals in the building spend most of their hours on tasks no part of their training prepared them for. We tend to file this under “process problem” or “tax season is brutal.” It’s neither. It’s a data mobility problem, and it has a measurable price tag.

Jump to ↓What “manual work” actually consists of

The real cost of trapped data

What changes when tax data becomes integrated

The tax technologist’s mandate

See the full numbers behind the tax data integration story

What “manual work” actually consists of

When tax leaders describe their work as manual, they tend to mean it metaphorically — long hours, repetitive tasks, lots of judgment calls. But if you actually audit where the time goes, the picture sharpens considerably.

A recent Forrester Total Economic Impact™ study of Thomson Reuters Direct Tax modeled a representative composite tax department: a multinational organization with roughly $10 billion in revenue and a 30-person tax team handling about 500 returns annually. The baseline finding: the average return takes 40 hours of professional time. Across 500 returns, that’s 20,000 hours — roughly ten full-time tax professionals’ worth of effort, every year, going into preparation alone.

What are those hours actually being spent on? The study describes the work as “data entry and reconciliation,” which sounds banal until you decompose it. The hours go to:

Pulling extracts from ERP systems that were configured for accounting, not tax
Translating chart-of-accounts mappings into tax-relevant categories
Reconciling subsidiary trial balances that arrive in different formats from different regions
Tracking down the version of the spreadsheet that has the right adjustments
Emailing controllers to clarify entries that don’t tie
Reformatting the result so it can flow into the provision calculation
Evaluating deferred tax asset realizability
Reviewing return-to-provision adjustments
Repeating most of the above when the data changes mid-cycle

None of this is tax work. It’s data movement, performed by humans because the systems involved don’t share data with each other. Every senior tax professional in the company has been quietly conscripted into a role that doesn’t appear on their job description: human integration layer.

The real cost of trapped data

The talent waste is the visible cost. The invisible costs are larger.

When data has to be moved manually, it gets moved late, moved wrong, or moved inconsistently across versions. The Forrester study quantifies what that produces at the composite organization: about $275,000 annually in avoided compliance costs once Thomson Reuters direct tax software solutions were in place. The breakdown is diagnostic — late filing penalties (roughly $10,000 per country), resubmission costs ($150,000), error remediation ($50,000), and outside advisory fees ($25,000). One senior director interviewed for the study put it bluntly: “We reduced our external advisory fees by half.”

Each of those line items traces back to a specific failure of data mobility. Late filings happen because the right data didn’t reach the right person in time. Resubmissions happen because the version that went out wasn’t the version that should have. Advisory fees compound because external auditors have to reconstruct the picture that the internal data couldn’t show on its own. None of these are software bugs. They’re the predictable downstream cost of asking humans to be the integration layer.

The audit exposure compounds in a similar way. When external auditors arrive, they’re not really testing your tax expertise — they’re testing whether the data you used can be traced, reconstructed, and explained. Trapped data fails all three tests. The team produces what it can, the auditors push back, and the cycle generates its own line item in the budget. One of the quieter findings in the Forrester study is how much senior team time gets spent during audit windows simply translating internal data into something an external reviewer can verify. That work is invisible until it isn’t, and it’s almost entirely a tax on data that wouldn’t move on its own.

This is why the dissatisfaction signals coming out of corporate tax are so loud right now. The 2026 Corporate Tax Technology Report from the Thomson Reuters Institute and Tax Executives Institute found that 56% of corporate tax professionals are dissatisfied with their current tech stack — up from 34% the year before. Nearly two-thirds of departments still describe themselves as operating in the “chaotic” or “reactive” stages of technology maturity.

The instinct is to read this as software fatigue. It isn’t. Tax professionals aren’t unhappy with their tools in the abstract. They’re exhausted from being the connective tissue between systems that don’t share data. The dissatisfaction is a symptom of a structural problem the tools haven’t solved.

What changes when tax data becomes integrated

The most striking finding in the Forrester study isn’t a dollar figure. It’s a description of what tax professionals start doing differently when data becomes accessible across the lifecycle.

After implementing the Thomson Reuters Direct Tax Suite — which brings ONESOURCE Income Tax, Tax Provision, Workflow, and DataFlow together into a single integrated platform— the composite organization cut tax preparation time by roughly 50%. Those 40-hour returns became 20-hour returns. But the more interesting shift was qualitative. Tax professionals moved from “data entry and reconciliation to analytics, planning, and advisory tasks.” One senior director described the transition this way: “We have gone from reactive compliance to regulatory confidence and proactive insights.”

What enabled the shift wasn’t a new methodology or upskilling program. It was data mobility. Specifically:

Centralized data across entities and jurisdictions, replacing the patchwork of regional spreadsheets and one-off extracts
Direct integration with multiple ERP systems, removing the human extraction step at the front of the workflow
Reusable workpapers and consistent definitions, so the same data didn’t have to be re-derived for every cycle
Automated regulatory updates, so jurisdictional rule changes propagated through the system rather than landing in someone’s inbox at 4 PM on a Friday

The senior people stopped chasing data. The data started reaching them in usable form. And the work they could now do — scenario modeling, transfer pricing analysis, M&A diligence support, real-time effective tax rate forecasting — was the work their resumes had always promised.

There’s a real-time dimension here that’s worth pulling out. When data is locked into quarterly extracts and email-based handoffs, the tax function operates in lag. By the time tax has a complete picture, the business has already moved past the decisions that picture was meant to inform. When data moves freely across the lifecycle, tax can answer questions while they’re still being asked — which is the actual prerequisite for what tax departments mean when they invoke “strategic tax planning.” It’s the difference between tax as a reporting function and tax as an advisory function, and it depends on a data layer that doesn’t exist in most departments yet.

There’s a related, quieter benefit in the same study: the composite organization avoided two additional hires per year, worth roughly $915,000 in cumulative cost avoidance over three years. The mechanism, again, was data mobility. With the Thomson Reuters Direct Tax Suite centralizing tax management and handling localization across jurisdictions, the company could enter new markets and integrate acquired entities without hiring locally to operate on the data. Mobile data meant the team didn’t have to be.

This compounds into something larger. The Thomson Reuters Institute/Tax Executives Institute report shows that 67% of tax departments at companies that invested seriously in tax technology now report a meaningful shift toward strategic, proactive work. That’s not a productivity statistic. It’s a description of what happens when senior people stop being the integration layer and start being practitioners again.

The tax technologist’s mandate

If you sit in a tax technology role — whether your title officially says so or not — your job description has historically been muddy. You’re somewhere between IT, finance, and tax, accountable for outcomes you don’t fully control, evaluating tools whose ROI is hard to articulate to a CFO who isn’t fluent in tax workflows.

The data mobility lens clarifies the role considerably. You’re not buying automation. You’re not buying AI. You’re not even, fundamentally, buying tax software. You’re restoring the ability of tax data to move freely across the systems and jurisdictions where the company actually operates. That’s the architectural problem the Thomson Reuters Direct Tax Suite is built to solve — by integrating source systems, provision, compliance, workflow, and tax data on a single foundation rather than stitching them together after the fact.

Everything else flows from that: The role restoration of senior tax professionals, the compliance cost reduction, and the growth elasticity that lets the business scale without scaling tax headcount in lockstep. The strategic seat at the table that comes when tax can finally answer questions in days instead of quarters. None of it works without the underlying data being mobile and accessible.

So, here’s the test for any direct tax technology investment under consideration. Forget the feature lists and the demo flows. Ask one question: After this is in place, will my senior people be working with data, or will they still be chasing it?

If the answer isn’t unambiguously that your senior people will be working with data rather than chasing it, the investment isn’t doing its actual job — and the talent puzzle you’re trying to solve will quietly reappear in eighteen months under a different name.

Having clean data is fundamental to the effective implementation and use of AI-powered solutions and every major tech transformation that comes after it. The companies that get this right in the next two years will look fundamentally different from the ones that don’t. Their tax functions will be smaller, faster, more strategic, and more globally elastic. Their senior tax people will be doing senior tax work. And the question of whether tax deserves a seat in strategy conversations won’t come up — because tax will already be in the room.

See the full numbers behind the tax data integration story

The findings throughout this piece come from a November 2025 commissioned Forrester Consulting Total Economic Impact™ study of organizations using the Thomson Reuters Direct Tax Suite. The full study goes well beyond what’s cited here — including a three-year 148% ROI, $1.7 million in net present value, payback in under six months, and detailed breakdowns of compliance cost avoidance, tax preparation time savings, and the headcount math behind global scalability.

If you’re building the business case for direct tax modernization — or just want the numbers that will hold up in front of finance, IT, and the C-suite — this is the document you want in the deck.