Learning Objectives
- Explain how Wolters Kluwer transformed from a traditional publisher into a digital services and technology firm built around trusted professional content, workflow software, and expert solutions.
- Examine how corporate restructuring, shared services, DXG centers of excellence, and product development investment helped the company reduce fragmentation while preserving divisional customer focus.
- Analyze how FCC used data, analytics, and process redesign to improve service of process operations, creating measurable operational value and reusable lessons for other product lines.
- Assess how Wolters Kluwer turned domain expertise, workflow data, regulatory content, and AI into expert solutions such as LegalVIEW® BillAnalyzer, OneSumX® ProViso, BOI filing, and Borrower Analytics.
- Consider how leaders can stimulate data monetization and AI-enabled innovation through customer insight, finance discipline, seed funding, stage-gated new product processes, responsible AI practices, and employee experimentation.
Abstract
In 2024, Wolters Kluwer NV was a €5.6 billion company based in the Netherlands that provided information, software, and services for accountants, doctors, lawyers, and other professionals. The company employed 21,000 people and served customers in 180 countries from offices in 50 countries. Nancy McKinstry stepped into the role of Wolters Kluwer CEO in 2003 and led the company’s digital transformation journey from traditional publishing company to digital services and technology firm. By 2024, the company had established innovation programs, engaged its workforce in data and analytics activities, incorporated AI in about half of its products, and delivered a variety of expert solutions; the company reported that expert solutions contributed to 58 percent of 2023 company revenues. This working paper features the key activities that facilitated the company’s expert solutions progress.
Appropriate for the Following Course(s)
digital transformation, business models, data monetization, artificial intelligence, innovation management, data management and analytics
THERE IS NO TEACHING NOTE FOR THIS CASE STUDY.