IntegrationData & AnalyticsDigital Transformation & Cloud ERPBusiness AI & JouleCase Study

Customer Case Study: A Unified Data Foundation for Self-Service Analytics and Future AI

Wed, 18 Nov 2026 · 11:25 AM – 12:10 PMLevel 5 - Room 5.2
Paul Laverty

Paul Laverty

Asia Leader for Modernization | Cloud and AI Platform · Microsoft

Paul Laverty leads Microsoft’s Modernization Global Black Belt team across Asia, helping organisations transform legacy environments into scalable, AI-ready platforms. He works closely with customers, product engineering and the partner ecosystem to accelerate cloud adoption and enterprise modernisation. With experience across Microsoft, Google and VMware in EMEA and Asia, Paul brings a broad perspective on technology transformation. He contributed to the foundations of Office 365 and led Azure’s go-to-market strategy in EMEA during its early development. A regular industry speaker, Paul shares practical insights on cloud strategy, modernisation and how organisations can prepare their technology environments to capitalise on AI.

Simon Schultheiss

Simon Schultheiss

Strategic Partnership Lead · Microsoft

Simon Schultheiss is Strategic Partnership Lead at Microsoft.

Dimitri Zarganakis

Dimitri Zarganakis

Practice Director Analytics · NTT DATA

Dimitri Zarganakis leads the national Data and Analytics practice at NTT DATA Business Solutions APAC. He has 27 years of experience implementing SAP analytics solutions and helps organisations develop practical data strategies, connect SAP data with platforms such as Microsoft Fabric and Snowflake, and give business teams the tools to run their own analyses.

Chitrarth Kastwar

Chitrarth Kastwar

National Practice Lead Analytics Portfolio · NTT DATA

Chitrarth is National Practice Lead for Analytics at NTT DATA Business Solutions Australia. A senior BI solution architect, he has more than 14 years of experience designing and delivering SAP analytics solutions, including SAP HANA, SAP BW/4HANA and SAP S/4HANA Analytics. He advises organisations on analytics architecture, governance and roadmaps, and helps business teams adopt self-service reporting. He has led analytics work on SAP implementations and transformation projects across industries including retail, utilities and automotive.

The session

About this session

Most organisations recognise the need to modernise their SAP landscapes, but many struggle to turn that investment into measurable business outcomes. As ERP modernisation, data modernisation, and AI initiatives converge, leaders are under pressure to reduce complexity, connect operational and business data, and accelerate time to value.​ ​

In this partner-led session, NTT DATA and Microsoft share their 18-month Modern Data & Analytics Platform journey at a leading automotive business in Australia. Learn how all parties brought together SAP S/4HANA, SAP Business Data Cloud, and Microsoft Fabric to build an AI-ready data foundation. That foundation enables enterprise-grade, self-service analytics, and sets the stage for future AI innovation.​ ​

Hear about the business vision, key decisions, lessons learned, and implementation best practices from the teams that made it happen. You'll leave with a clear view of how to move beyond system modernisation toward an intelligent, adaptive, and increasingly autonomous enterprise.​ ​

What You'll Learn​

  • Build an AI-ready foundation by unifying SAP and Microsoft data​
  • See how S/4HANA, SAP Business Data Cloud, and Microsoft Fabric work together to enable self-service analytics​
  • Learn how NTT DATA and Microsoft partnered to deliver the modern data platform transformation​
  • Take away practical lessons and best practices from a real-world customer journey​
IntegrationData & AnalyticsDigital Transformation & Cloud ERPBusiness AI & Joule

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