The Strategic "Triple Play"
Given that SAP is discontinuing support for Oracle Users on 2027 Enterprises can find a "Clean Core" solution from Data Conversion Services (DCS) Integrating Equitus.AI’s Knowledge Graph Neural Network (KGNN) into an IBM RISE with SAP migration turns a complex, multi-vendor cloud move into a highly automated, "clean-core" transformation.
While RISE with SAP provides the framework, KGNN acts as the intelligent navigator that maps the vast, disconnected data landscapes often found in legacy Oracle/ECC environments.
How Equitus KGNN Supercharges RISE with SAP
1. Autonomous Discovery & "Clean Core" Validation - Manual Mapping of schema requires enormous amounts of capital and labor. DCS has the experience and architects to navigate from mapping to testing in a fast, scalable and cost effective modality. Utilize the strengths of Ai to handle tasks better suited to automation.
RISE with SAP emphasizes a "Clean Core" (minimizing custom code to stay upgrade-ready).
The KGNN Edge: Instead of manual audits, KGNN automatically ingests structured and unstructured data across SAP ECC and non-SAP systems.
It builds a Self-Generating Knowledge Graph that reveals exactly which custom PL/SQL objects or "z-tables" are actually used, what they depend on, and whether they should be migrated, retired, or replaced by standard S/4HANA features.
2. Solving the "Split-Target" Dilemma
Not everything in a legacy Oracle database needs to go into the expensive SAP HANA in-memory tier.
The KGNN Edge: KGNN analyzes workload patterns to provide Data Placement Intelligence. It identifies high-value ERP data for S/4HANA Cloud while flagging non-essential, legacy, or massive historical datasets for IBM Db2 on Power Virtual Server. This "split-target" approach reduces the HANA T-shirt size, significantly lowering the monthly RISE subscription cost.
3. Accelerating the "Business Process Intelligence" (BPI) Phase
RISE with SAP includes BPI to help modernize processes.
The KGNN Edge: Traditional BPI tools often miss cross-application silos. KGNN’s Semantic Mapping layer connects data across silos (e.g., an Oracle-based logistics app talking to an SAP finance core).
It creates a unified "business reality" that allows IBM Consulting to design more accurate transformation "plays" in weeks rather than months.
4. Native Optimization for IBM Power11
IBM RISE with SAP customers can utilize IBM Power Virtual Server (PowerVS) as a "Premium Supplier" option.
The KGNN Edge: Equitus KGNN is built to run natively on IBM Power10 and Power11 using Matrix Math Accelerator (MMA).
It can process massive migration datasets on-premise or in the IBM Cloud without needing expensive GPUs. This makes the migration assessment faster and more energy-efficient than traditional cloud-only AI tools.
The Strategic "Triple Play"
Metric
Traditional GSI Project (Manual)
Aimlux/Equitus DCS (Automated)
Timeline to IOC
180–360 Days
30 Days
Full Go-Live (FOC)
18+ Months
60 Days
Data Quality
Raw Table Move
Semantic Knowledge Graph
Procurement Type
T&M (Time & Materials)
Prepaid SKU
Risk of Failure
High (Due to manual ETL)
Low (Productized Migration)
Metric
Traditional GSI Project (Manual)
Aimlux/Equitus DCS (Automated)
Timeline to IOC
180–360 Days
30 Days
Full Go-Live (FOC)
18+ Months
60 Days
Data Quality
Raw Table Move
Semantic Knowledge Graph
Procurement Type
T&M (Time & Materials)
Prepaid SKU
Risk of Failure
High (Due to manual ETL)
Low (Productized Migration)
|
Stakeholder |
The KGNN + RISE Benefit |
|
For the CIO |
Reduces migration risk by providing 100% visibility
into data dependencies before the first byte is moved. |
|
For the CFO |
Lowers the RISE "As-a-Service" bill by
preventing over-migration to HANA through intelligent data tiering to Db2. |
|
For the DBA |
Automates the tedious manual mapping of Oracle
schemas to SAP S/4HANA, saving hundreds of hours of manual labor. |
