Author: Thomas Failer, Data Migration International
Thomas Failer is the founder and Group CEO of Swiss Data Migration International and is responsible for the management, strategy, business and product development of the international provider. Since the generation change from SAP R/2 and R/3, the graduate computer scientist (FH) knows how the problem of legacy data and systems can be solved intelligently in transformation projects and turned into a real opportunity for the digital enterprise.
November 23, 2023
It is now widely recognized within the SAP community that data and its dependencies considerably prolong the upgrade to the next SAP generation. But there is an ideal remedy: a shortcut via One Click Transformation.
November 23, 2023
All too often, SAP customers migrate far too much data to S/4, and in poor quality, losing its business context in the process. This turns a treasure trove of data into a risk for the data-driven enterprise of the future.
November 13, 2023
Many SAP customers shy away from the SAP S/4 Hana transformation because of the supposedly necessary preliminary projects. However, with the right approach to app lifecycle, data, and system management, these preliminary projects can prove to be redundant.
May 3, 2023
If you don't want to pay for it, you have to start the S/4 transformation by 2025 at the latest. And even that only applies to projects lasting a maximum of two years. Whether it's a question of cost or time, the biggest risk is the data.
December 1, 2022
For a long time, CEOs, CFOs and CIOs ignored the data problem. But with the transformation to S/4, this is no longer possible, because the discussion about algorithms and data structures shows: Data drives processes!
January 18, 2022
Bill Clinton's campaign slogan "It's the economy, stupid!" also applies to the transformation to S/4. Only those who can reduce the mass of SAP and non-SAP data before and after the migration will win the race against time and save cash.
September 21, 2021
The future lies in data. The digitization push of the past few months bears impressive witness to this. But if you neglect your history, you will also gamble away the future.
![[shutterstock.com: 1135176134, SkillUp]](https://e3magpmp.greatsolution.dev/wp-content/uploads/2020/09/shutterstock_1135176134.jpg)
October 8, 2020
The success of Big Data and digitization in general depends on the quality of the (master) data. If it is poor, the usefulness of the data for business processes and models is doubtful. This challenge is all the greater the older the data sets are.
![[shutterstock.com: 1663089904, Oleg Elkov]](https://e3magpmp.greatsolution.dev/wp-content/uploads/2020/06/shutterstock_1663089904_cmyk.jpg)
August 18, 2020
The value of a company is measured by the total stock of its information - including historical information. To make it more visible, simplification and automation are needed. Both can save a lot of money, not tomorrow, but today.
![[shutterstock: 1472399960, M.Moira]](https://e3magpmp.greatsolution.dev/wp-content/uploads/2020/07/shutterstock_1472399960.jpg)
July 23, 2020
Historical data may be a pain sometimes, but they are the key to unlocking a company's full potential.
June 10, 2020
The key to the intelligent enterprise lies in simplification - and in automated information management. The cloud as a synonym for simplicity only plays second fiddle.
May 20, 2020
SAP's Move program highlights ways to accelerate the journey to SAP S/4 Hana. One of them is to separate historical data from operational data. So that data is always fuel and never ballast.
