SAP S/4HANA implementation (Greenfield), system conversion (Brownfield), and selective data transition are some of
the offerings at Qrestik Technologies. SAP S/4HANA Digital transformation with Qrestik Technologies includes
data assessment, roadmap generation, effort & timeline estimation, as well as support in testing.
The first step to accepting any change is the assessment of that change which gives a fair idea of how disruptive the change may be and what key factors need to be addressed. Every aspect from timelines and the effort required to implement this change is quantified in this assessment.
Everything from architecture to maintenance planning, installation, best practices, and migration is taken care of by Qrestik’s team of experts ensuring our clients have the best in class experience.
SAP S/4HANA transformations with Qrestik allow customers to retain existing customizations while adopting new innovations.
Automated testing and data transformation encompassing aspects from test case discovery to test sign-off and management are based on SAP best practices
Driven SAP S/4HANA support services with proven SAP Application Management Services (AMS) Models.
Advantages of S/4HANA Digital Transformation
With expanded opportunities to apply data and pivot to new business models, companies can make model changes more easily with SAP S/4HANA.
Simpler to bring acquisitions into the ERP environment prior to SAP S/4HANA, businesses that wanted to integrate the acquisitions of smaller brands into their primary ECC systems, had to spend a significant amount of time and money. Businesses don't necessarily need to integrate acquisitions into their core functions using S/4HANA, they may maintain them on the SAP public cloud.
S/4HANA brings functions like Global Available-to-Promise (Global ATP) and master data governance into the core. Fewer boxes to manage means lower ownership and maintenance costs from an infrastructure perspective.
Running on the HANA in-memory database, S/4HANA increases performance exponentially. it's smart data design reduces aggregate tables and data redundancy for greater efficiency. Instead of storing data in a data warehouse and waiting for it to load, the core ERP system now provides analytics and faster insights.
Embedded AI and machine learning applications are continuing to evolve slowly but steadily in S/4HANA resulting in improved modeling, predictive outcomes, and forecasting.
