Reduce cost and increase efficiencies with Digital Conversion Services (DCS)

 

AUTOMATE, AUGMENT, AUTHORIZE --- Enterprise Migration

Enterprise Users can reduce cost and increase efficiencies with Digital Conversion Services (DCS) when migrating complex legacy environments like Oracle to SAP HANA or IBM Db2, the primary barrier isn't just moving the data—it's preserving the business context and relational integrity during the "heart surgery" of the database.

Equitus.ai’s KGNN (Knowledge Graph Neural Network) transforms this process from a manual, code-heavy task into an automated, intelligence-driven transition.

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How Equitus.ai KGNN Helps the Migration

1. Automated Semantic Mapping (The "Rosetta Stone")

Traditional migrations require engineers to manually map Oracle schemas to SAP or Db2 formats. KGNN uses neural networks to automatically discover relationships across your data. It understands that a field named CUST_ID in Oracle and KUNNR in SAP represent the same entity, drastically reducing manual ETL (Extract, Transform, Load) time.

2. "Zero-Loss" Data Preservation

One of the biggest risks in migration is losing the "connective tissue" between records. Because KGNN converts data into a graph structure first, it preserves the complex many-to-many relationships that often break during a standard table-to-table move.

Key Metric: Equitus solutions can improve data integration and prep efficiency by up to 80%, ensuring that once the data lands in SAP HANA or Db2, it is already "clean" and contextualized.

3. Creating an "AI-Ready" Destination

Most migrations only aim for parity (making the new system work like the old one). KGNN aims for optimization. By unifying the siloed data into a knowledge graph during the conversion, the resulting database is already structured for:

• Graph RAG (Retrieval-Augmented Generation): Powering internal LLMs.

• Real-Time Analytics: Exploiting the in-memory speed of SAP HANA.

4. Hardware Optimization (IBM Power10 Integration)

Equitus.ai is optimized for IBM Power10 servers. If a client is migrating from Oracle to IBM Db2, they can run KGNN natively on the same hardware. This allows for deep learning and data unification without needing expensive GPUs or sending sensitive data to the cloud.⁹

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Target Industry Transitions: Key Case Studies

Industry	Migration Path	The Equitus/DCS Advantage
Banking & Finance	Oracle $\rightarrow$ IBM Db2	Financial Efficiency: IBM reports 30-50% TCO reduction. KGNN ensures high-speed transaction mapping remains intact.
Manufacturing	Oracle $\rightarrow$ SAP HANA	Forced Modernization: Meeting the 2027 SAP deadline. KGNN handles the massive volumes of supply chain data without disrupting operations.
Pharmaceuticals	Legacy Silos $\rightarrow$ Unified Fabric	Compliance & Traceability: Using the graph structure to maintain a "Single Source of Truth" for drug audit trails.