At artience, a Japanese chemicals group, preparing management information meant gathering data from about 60 entities. There were spreadsheets. There were reporting templates in Japanese, English and Chinese. There was manual integration, followed by the work of finding the errors manual integration had introduced. A reporting system can look perfectly orderly from the boardroom. Downstairs, someone is still chasing a file.
CCH® Tagetik makes software for precisely this gap between having numbers and being able to use them. Its proposition is unusually easy to understand once you put the product vocabulary aside: give finance its time back.
- The job: connect planning, financial close, reporting and tax.
- The buyer: finance teams managing complicated businesses and multiple entities.
- The evidence: artience reports turning three days of aggregation and reporting into one.
- The catch: shared software still needs disciplined data and implementation.
01The spreadsheet had become the schedule
The September 2026 artience announcement describes a change in the plumbing. The group brought statutory and management accounting data together in Tagetik, integrated with SAP, and used multilingual functionality to remove much of the template preparation. Implementation partner Dentsu Soken led the project.
Aggregation and reporting workload fell from three days to one, according to Wolters Kluwer’s account of the customer deployment. More interestingly, artience could visualize return on invested capital by business every month. Its finance executive connected that visibility to a broader push toward capital efficiency. Faster reporting had created room for a different conversation: which businesses deserved the next investment?
Aggregation and reporting workload. Customer outcome reported September 2026; results vary by deployment.
02A consultancy before it was a platform
Tagetik began in 1986 as a local consultancy in Lucca, Italy. The Tagetik brand arrived in 2005. That order matters. The company’s history starts with the problems of finance departments, then moves toward software for repeating those jobs across an enterprise.
Founder Pierluigi Pierallini brought in White Bridge Investments through a $36 million capital investment announced in 2014. International expansion and product development were the stated aims. Wolters Kluwer agreed to buy Tagetik for €300 million in cash in 2017; the acquisition completed that April. Today, Tagetik sits within its Corporate Performance & ESG division. This is an established software business inside a public company.
03One set of numbers, several difficult jobs
The industry calls this corporate performance management, or CPM. Think of the enterprise resource planning system as recording business activity. Tagetik brings information from those systems into the work of closing accounts, comparing performance with plans and preparing the next forecast. Customers can retain their existing operational systems.
Financial Close & Consolidation handles tasks such as intercompany eliminations, currency complexity and group reporting. Budgeting, Planning & Forecasting connects actual results with future assumptions. Extended planning reaches into operations, including demand, supply and inventory. Other modules cover sustainability reporting, corporate tax, disclosure and profitability analysis.
That breadth places Tagetik alongside enterprise alternatives such as Oracle Cloud EPM, OneStream and SAP’s planning and consolidation offerings. Anaplan and Workday Adaptive Planning are also alternatives for planning requirements. The useful comparison is a buyer’s actual workload: how much consolidation, operational detail and regulatory reporting must travel together?
Tagetik’s case rests on that combination, plus familiar interfaces. Microsoft Office integration and SAP connectivity let finance teams work with tools already embedded in their routines. A spreadsheet can remain the front door while the data and controls move somewhere more dependable.
“one data source from the start to the end”
Karel Geerardyn, Finance Business Solutions, BNP Paribas

04The newest interface is a question
Ask AI adds conversational analysis to that setup. Within Intelligent Analytics, users can ask questions in ordinary language and receive visual answers. The point is to shorten the distance between a follow-up question and the chart needed to investigate it.
Wolters Kluwer expanded the experience in 2025 with an Excel 365 add-in. Other AI capabilities include account automapping, anomaly detection and predictive planning. These address different chores: aligning incoming accounts, spotting unusual values and exploring possible future results.

There is a useful restraint in the company’s October 2026 North America inTouch recap. An informal attendee poll found that 40% chose demonstrated accuracy over time as the factor that would most increase their trust in AI financial decisions. That is a conference audience, not a representative market survey. Even so, the preference is telling: finance wants evidence it can check.
05The purchase extends beyond the license
Tagetik sells enterprise software through a sales-led process, with cloud and on-premises deployment options and a modular portfolio. The economics include implementation and integration as well as the software agreement. Its partner network includes technology companies AWS, Microsoft and SAP, alongside consulting and implementation firms.
The historical deal price is public. A customer’s project budget is a separate calculation. Buyers should request a scoped proposal covering modules, migration, integrations, training and ongoing support, then compare it with the cost of the workflow being replaced.
Wolters Kluwer’s 2025 results show the direction of travel: Tagetik’s recurring cloud revenue grew 19% organically, while the platform overall grew 5%. More than 200 customers were added globally. Cloud subscriptions are becoming a larger part of the story.
06Measure the handoffs before buying the dashboard
BARC’s independent review supplies the necessary friction. Operational sub-plans require data-loading processes to connect with the corporate model. Third-party analytics can introduce replicated data, maintenance and latency. Some surveyed users report slow performance in complex environments. A sensible evaluation should therefore use realistic data volumes and concurrent users.
The lesson a reader can copy is practical. Pick one recurring reporting cycle. Count the handoffs, spreadsheet transfers and hours spent reconciling. Establish who owns the definitions. Then test whether a connected process changes those measures. A demonstration becomes more useful when it has your bottleneck in it.
For a small organization with straightforward accounts, this much machinery may be hard to justify. For a group where reporting has become a monthly logistics operation, the attraction is clearer. At artience, the striking result is the new monthly view of capital returns. The business had more time to ask what its numbers meant.
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