Data and data analysis has become a critical practice for companies, particularly in the tax field. A targeted analysis of tax data provides valuable insights, avoids unnecessary risks, and opens up potential for optimization. WTS supports you from data collection and cleansing, through data transformation, to analysis and professional interpretation. In combination with our professional expertise, we open the door to a truly "data-driven” tax function.
With continuous analyses and ongoing visualizations, we also support the digital governance of your tax function. The combination of concrete tax use cases with our technology expertise enables innovative solutions: from effective reporting structures and validations to dynamic analytics, dashboards and new technologies such as predictive analytics and machine learning.
Benefits for you:
Building on Data Analytics, WTS is taking another step into the future of tax technology with Advanced Analytics and related concepts from the field of Artificial Intelligence.
In close cooperation with the German Research Center for Artificial Intelligence (DFKI), WTS is investigating, within the framework of the Center of Competence Tax Technology, how innovative technologies and approaches from the field of AI for tax applications can be put into practice. We are focussed on investigating current trends and innovations, and continuously assessing the potential for applying the latest AI technologies within tax as a whole. WTS's expertise in AI is bundled under the brand name wtsAI in cooperation with partners specialized in AI. In addition, WTS also works closely with leading technology providers and start-ups for specific areas such as natural language processing or the targeted extraction of information from unstructured documents.
Machine Learning (ML) is a key Artificial Intelligence technology and can be applied to numerous problems. It has shown great success in the recognition of patterns within large amounts of data. The implementation of ML applications requires certain IT structures and the availability of a clean and structured data basis. For this reason, the implementation of ML projects can be a follow-on to analytics projects, and build on data structures defined there.
Do you have any questions about our services or WTS? Please let us know. Please fill in our short contact form. We will get in touch with you as soon as possible.