Unblocking Enterprise Data

A Path Forward in 2026

As APAC businesses accelerate digital transformation, the insights from this report highlight a clear path forward: AI and data platforms are fundamental for bridging the gap between strategy and execution. Consider the following pathway for how your business can turn ambition into measurable outcomes by leveraging SAP Business Technology Platform (SAP BTP), Business Data Cloud (BDC) and AI-driven innovation.

Key Actions

Focus Area

KPI & Outcomes

• Baseline current data access, quality, and AI- data trust metrics.

Move to a ‘medium’ confidence in:

Data Visibility & Trust

Launch BDC catalog & lineage

• • •

Data access Data quality

• Identify critical data elements for 2–3 priority domains (e.g., vendor, material, workforce)

AI-data reliability

• Connect SAP and non-SAP sources into BDC

# of integrated systems

Publish first data products for a Top-3 business priority (e.g., process automation in Procure-to-Pay)

Integration to Outcomes

# of published data products

Enable cross-functional access

Move to a ‘strong’ confidence on AI-data reliability

• Layer analytics and predictive models on governed data

• Pilot AI agents using BDC-served features in a high-impact function (IT, SCM, HR) • Track outcome metrics (decision speed, cost reduction)

Decisioning & AI

Decision cycle time

Cost savings from automation

• Expand data quality policies, privacy, and access controls

• •

# of domains covered

# of policies implemented

Scale & Guardrails

• Extend BDC to additional domains and partners

Move to a ‘strong’ confidence in data quality/privacy

• Monitor and mitigate AI risks (data quality, privacy, transparency)

Book a Demo

Yulin Wang SAP BTP & DC Specialist, SAP China

Amjed Khan SAP BTP & BDC Specialist, SAP India

Kazuki Ogasawara SAP BTP & BDC Specialist, SAP Japan

Ranjith K SAP BTP & BDC Specialist, SAP SEA

amjed.khan@sap.com

kazuki.ogasawara@sap.com

ranjith.k01@sap.com

yulin.wang01@sap.com

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