Modernizing Legacy Systems in GCC with SAP Business Data Cloud
SAP

Modernizing Legacy Systems in GCC Countries: How SAP Business Data Cloud Accelerates Digital Transformation

By: Murali Krishna Chilla

Publish Date: March 26, 2026

Across the GCC, ERP conversations have acquired a new seriousness. They start with investment scale and end with execution discipline. On the investment side, the Gulf Cooperation Council countries’ digital transformation market is expected to grow from USD 59.47 billion in 2025 to USD 146.09 billion by 2031 (15.32% CAGR, 2026–2031). Cloud already represented 53.04% of spending in 2025, and hybrid plus edge architectures are projected to grow at a 17.19% CAGR through 2031.

On the execution side, many GCC enterprises have already discovered the hard part. Moving from legacy ERP to SAP S/4HANA is rarely an issue with licensing, infrastructure, or even capability. The slowdown usually appears at the seam between business operations and data reality: duplicated pipelines, conflicting definitions, and data governance that arrives late to the party.

This is where SAP Business Data Cloud (BDC) deserves attention. BDC is often discussed as a data layer, which is accurate but incomplete. From a practitioner’s lens, BDC is also a migration accelerant because it reshapes how data moves, how meaning is preserved, and how governance is applied across SAP and non-SAP ecosystems. SAP describes BDC Connect as a way to securely link SAP BDC with partner platforms for a bidirectional flow of business-ready data products, including zero-copy sharing, so data remains in SAP systems while staying accessible within existing customer data platforms.

That shift sounds technical. The business implication is simple: fewer surprises during migration, fewer parallel “truths,” and a cleaner runway for AI, analytics, and automation after go-live.

Why S/4HANA programs are accelerating across the GCC

The GCC’s modernization wave is running on three rails: sovereignty requirements, operational velocity, and an AI-driven roadmap.

1) Data sovereignty has become architectural, not contractual:

Saudi Arabia provides a strong signal. SAP announced the planned public sector deployment of the full SAP Business Network in the Kingdom, hosted on Google Cloud, positioned as enabling local data residency alongside global interoperability and compliance with national data residency and cybersecurity regulations (CCC-2020). This same announcement highlights SAP’s federated architecture, which enables buyers to store data in-country while transacting securely across SAP’s international network..

2) Leaders expect measurable outcomes and shorter cycles:

McKinsey’s Global Tech Agenda 2026 frames a broader leadership shift where CIOs are increasingly shaping enterprise strategy, with nearly two-thirds of top-performing companies saying technology leaders are “very involved” in crafting strategy. When this mindset shows up in GCC programs, it changes how modernization is managed. The ERP program becomes a value agenda, with timelines and governance that match that expectation.

3) AI is shaping the end state, which reshapes the core:

SAP’s own narrative has moved to tightly integrated AI, data, and applications within SAP Business Suite, including the evolution of Joule into role-aware assistants that draw on applications and data across the suite. SAP also describes a growing library of specialized Joule Agents to execute complex workflows within specific functions, such as people management and financial planning. That direction raises a clear requirement for S/4HANA journeys: data needs consistency, provenance, and business context, otherwise AI output becomes harder to trust at enterprise scale.

The make-or-break layer in ERP modernization is data migration

In many S/4HANA programs, the project plan assigns data migration to a workstream, provides a timeline, and includes a checklist. Real life gives it something else: a starring role.

Three patterns recur frequently in GCC transformations.

  • Legacy ERP data carries business decisions, not only transactions: Years of local policy, market exceptions, and operational workarounds are embedded in master data and process history. When those artifacts are moved into a new core without reinterpretation, teams inherit complexity in a more modern system.
  • Definitions drift across group structures and borders: Many GCC enterprises operate as multi-entity groups spanning countries, business units, and regulatory regimes. The same metric can travel with multiple meanings. Our GCC perspective emphasizes exactly this challenge: hybrid landscapes, complex group structures, and rising regulatory expectations around data privacy and sovereignty. (Read the full blog here)
  • AI ambitions amplify data gaps: Gartner predicts that finance organizations using cloud ERP applications with embedded AI assistants will see a 30% faster financial close by 2028, while noting that data quality, integration complexity, skills gaps, and organizational change can slow adoption. Gartner also forecasts that 62% of cloud ERP spending will be on AI-enabled solutions by 2027, up from 14% in 2024. In other words, finance teams will get pressured to deliver faster closes and more automated controls. The only sustainable path is a data foundation that supports it.

This is why SAP’s positioning for the “Autonomous Enterprise” resonates in the region. SAP describes autonomy as combining autonomous ERP, business AI, and clean data in the core of operations, with more than 50% of processes running independently and up to 80% of operational work being automated or AI-augmented. A program that carries forward inconsistent definitions, duplicated pipelines, and unclear lineage makes that destination materially harder.

How SAP Business Data Cloud changes the migration playbook

SAP Business Data Cloud delivers value in ERP modernization by reducing complexity before it becomes visible to the business.

Zero-copy sharing reduces duplication and improves control

SAP describes “zero-copy sharing” as keeping data securely in SAP systems while making it instantly accessible in customers’ existing data platforms, preserving business context without costly copies. In practical migration terms, this can reduce the urge to create parallel data lakes and duplicate extracts “just to be safe.” Duplicates multiply governance effort and create reconciliation cycles that consume time and credibility.

Business-ready data products improve alignment across functions

SAP explicitly frames BDC Connect as enabling a bidirectional flow of “business-ready data products” across boundaries. That phrase matters because migration teams spend enormous energy translating raw tables into business meaning. When the program treats business semantics as a first-class design artifact, the discussions change. Finance, supply chain, procurement, and HR stop debating whose extract is correct and start agreeing on definitions that survive across platforms.

A modern core deserves a modern data contract.

GCC enterprises are modernizing legacy ERP estates with urgency, and the market signals support that direction. The region’s digital transformation spend is expanding fast, cloud adoption is mature, and the demand for AI-led outcomes is rising.

At YASH Technologies in GCC, we build and deliver on SAP platforms with a clean-core mindset. YashHealth Connect, developed on SAP BTP and integrated with SAP S/4HANA Cloud, received the “Co-Innovated with SAP” certification, reflecting the co-innovation discipline required in regulated, outcome-driven environments. (read the full Press Release here)

If your organization is planning the shift from legacy ERP to SAP S/4HANA and wants a data migration path that supports governance, sovereignty, and scalable analytics, do connect with us at info@yash.com.

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