Wolters Kluwer announced that Toyota Finance Corporation (Headquarters: Nagoya City, Aichi Prefecture; President and Representative Director: Toshiyuki Nishi; hereinafter "Toyota Finance") recently completed the successful implementation of Wolters Kluwer'sCCH Tagetik corporate performance management (CPM) platform. As a result, Toyota Finance has dramatically reduced the time its finance team spends on monthly financial data aggregation and reporting, while freeing up staff time to add insightful, data-driven perspectives to support business units in making more agile decisions. After evaluating multiple CPM software providers, Toyota Finance chose to implement Wolters Kluwer's CCH Tagetik platform.

Key capabilities that led Toyota Finance to select CCH Tagetik include platform's capacity to handle extensive data volumes, its ability to create and implement diverse allocation patterns without the need for coding, its transparent visualization of processing logic, and its user-friendly, intuitive interface. To date, Toyota Finance has utilized the CCH Tagetik platform for three critical purposes: budgeting and planning, actual performance management, and lifecycle profit-and-loss management. After its successful implementation of the CCH Tagetik platform, Toyota Finance Corporation experienced the following results: A 50% reduction in monthly aggregation and management reporting time, expediting the reporting process by approximately 10 business days, each month.

These significant efficiency gains have also freed up the company's finance professionals to focus more of their time on developing higher-quality reports, filled with value-added analyses. Consistent, timely, and accelerated data aggregation, analysis and provision, tailored to the requests of each business unit. The aggregation task now takes just one day to complete, and the time required for generating analytical reports and management reporting has been slashed by approximately 10 business days.

The ability to seamlessly connect budget and actual data with a considerable analytical versatility, yielding improved data variations that can be utilized in budgeting, planning and profit-and-loss management.