Tax Data Science

In short

  • Breukelen
  • 29 May 2018
  • five blocks of two days
  • day one: 12.45-21.30 and day 2: 9.00-15.45
  • English
  • € 14.950 (VAT exempt)

Wat can you expect?

The global digital transformation also influences the fiscal community.

Tax features make increasing use of real-time collaboration programs, automation of workflow, document management and calendars, and automated internal controls. Are you a tax and data professional who wants to understand the impact of digital transformation and control its process, as well as becoming a tax data scientist? Our Tax Data Science Program tells you all you need to know about relevant data science elements from a fiscal perspective.

You actively center on the issue whether 'traditional' fiscal compliance functions still have a place in today's digital world.

After completion of the program, you:

  • Have covered the concepts and tools you need in the entire field of Tax Data Science (TDS).
  • Know the right questions to ask.
  • Are able to collect the correct data to make deductions, create tax data analyses and compose reports.
  • Have applied what you have learnt in practice.
  • Are able to guide your organization in the rapidly changing world of taxes.
  • Concrete and practically applicable
  • Lectures from business experts
  • Applying theory into practice

Contact

Ingrid Biemans

Operational Manager Tax & Finance
Application Form

In our Tax Data Science program, experts give their vision and tell you from their personal experience about the main principles and insights in this field.

The program has been developed in cooperation with data analysts and partners such as MNOs, data scientists and software developers.

Contact

Ingrid Biemans

Operational Manager Tax & Finance

Application form

Start the application process.

Tax Data Science

In our Tax Data Science program, experts give their vision and tell you from their own experience about the main principles and insights in this field. You will apply what you learn in a practical manner: learning by doing, working on a strategic assignment and a personal business case.

The program covers a number of topics, amongst which*:

  • Methods to deal with tax compliance risks.
  • Tax surveillance, tax reporting and tax insurance.
  • Technological developments: data analysis, big data, modern IT infrastructure, data protection, data security, e-signature/e-identification and (tax) data driven innovation.
  • New operational tax and compliance period models.
  • Techniques to become a moral compass and navigator for fiscal compliance and tax sustainability.
  • Techniques to help businesses operate based on tax values, tax strategy and company principles.

* Subject to change.

Date

  • Module 1          29 and 30 May 2018
  • Module 2          5 and 6 July 2018     
  • Module 3          4 and 5 September 2018    
  • Module 4          10 and 11 October 2018 
  • Module 5          27 and 28 November 2018

Contact

Ingrid Biemans

Operational Manager Tax & Finance

Application form

Start the application process.

For whom?

This program is for tax or data professional who understands the need for a digital transition in taxes, and wants to understand its impact, control its process and become a tax data scientist.

There will be a selection process to participate in the program, based on an intake. Participants will need to have relevant knowledge and/or experience in either tax or data science and a high motivation to be selected in this program.

If you have any further questions, or if you want to apply to the Tax Data Science program, please contact our program manager or program coordinator.   

Contact

Ingrid Biemans

Operational Manager Tax & Finance

Application form

Start the application process.

Wat are the costs?

Your investment for this program is € 14.950. This amount is exempt from VAT and includes course materials as well as food and drink on course days.

Contact

Ingrid Biemans

Operational Manager Tax & Finance

Application form

Start the application process.