In this blog post, I will describe how existing SAP customers can move from their existing SAP ERP to SAP S/4HANA using the “Selective Data Transition” (SDT) adoption path and some of the most common value opportunities to use SDT. In addition to the well-established New Implementation (aka Greenfield) or Conversion (aka Brownfield), Selective Data Transition forms another but rather broad-spectrum approach with various use cases. Under the RISE with SAP program and relatively new availability of SDT to SAP S/4HANA on the SAP S/4HANA Cloud, private edition this adoption path is getting even more increased attention.
Today’s business and IT leaders have multifaceted concerns, challenges and are looking for means to respond rapidly to address the market forces or internal drivers that are pushing them to modernize. Additionally, they are faced with overwhelming facts and opinions about why, when, and how to move to SAP S/4HANA as a way to build an intelligent ERP platform.
In this article I’ll focus on the “how.” In my discussions with CxOs about SAP S/4HANA adoption, most of the time the Greenfield (new or re-implementation) versus Brownfield (system conversion) methods are considered, while the Selective Data Transition path is often misunderstood. Stakeholders frequently wrestle with the conundrum of this perceived binary choice and with evaluating the importance of seemingly mutually exclusive transformation drivers and IT constraints. As organizations plan for business and IT transformation, they should reassess which options are truly available and what each can offer. They should look beyond the standard and well-described Greenfield vs Brownfield playbooks. With Selective Data Transition, organizations have untapped flexibility when considering a move to SAP S/4HANA. Like a pendulum that swings freely back and forth, Selective Data Transition can cover the full range of scenarios between Greenfield and Brownfield which brings interesting new transformation approaches into the mix.
Furthermore, it would be a mistake to view your journey strictly through an IT lens. Instead, why not take this opportunity to completely revamp your processes and resolve the current business pain points? What if there was a way for your organization to keep the historical data that fuels your data-driven enterprise while simultaneously achieving process optimization and landscape harmonization? Be it optimizing organizational structures, processes and the system landscape, or an expectation of being more competitive and agile through operational excellence, these goals must be clearly established to ensure a successful transition into your