Handling data-driven transformation? Learn how to get the maximum value out of your organization’s data assets. Get advice on how to build a data transformation road map and information superhighway. Explore leading ETL (extract, transform, and load) tools in the marketplace. Assess the importance of data quality assurance and its role in delivering business-quality pristine data for production transactions. Explore the recent advances in the role of data analytics in driving intelligent insights and contextualize the relevance of big data for your organization. Learn the role of the cloud in enabling a lean reporting platform and its integration with on-premise or cloud-based transactional applications. Understand the need for a good governance model around data organization and leading frameworks that are helping chemical companies enable such. Learn about other companies that are implementing GDPR compliance measures and plan yours. Lastly, explore a few techniques around cybersecurity of data.

Key Business Benefits:

• Get ready-to-use framework for data extraction, transformation, and load for SAP S/4HANA® implementation projects
• Real-life use cases around big data, predictive analytics, and enterprise insights
• Learning on GDPR, cybersecurity, and data governance
• Examples of executing on a digital transformation strategy with analytics incorporated into transactional processes in SAP S/4HANA and providing business leaders with access to the SAP Digital Boardroom experience to successfully complete the digital transformation journey.

PMLA (product marketing and lifting agreement) is a contract between Dow and Sadara Chemical Company, a joint venture between Dow and ARAMCO, that defines terms and conditions under which Dow will take in various products from Sadara and sell them in the marketplace. To remain in compliance with the PMLA agreement, Dow has developed a solution called MARS (Marketing Agreement Reporting Systems) by leveraging SAP ECC, BRF plus, BODS, and SAP Process Orchestration technology. The MARS system tracks Sadara products at the batch level from lifting through the internal stock transfer and repackaging until final sales and consumption by both Dow and third-party customers, along with capturing the supply chain cost at a detail level. Finally, it will report all the sales and costs back to Sadara based on the PMLA agreement. This solution is fully automated and integrated with the Sadara System to help Dow stay compliant with the PMLA agreement, which is the foundational system for Dow to run this important business.

Key Business Benefits:

• Helps Dow stay in compliance with the PMLA agreement to run this business
• Improves the operational excellence at the speed of the business
• Reduces the manual effort

Already being highly regulated, the chemical product-related regulations continue to increase in number and complexity. Globalization makes that even more of a challenge. At the same time, product stewardship departments must master that with fewer resources because capable people are not available or budgets do not increase at the same pace as regulatory burdens.

Today, many SAP customers create and ship compliance documents such as safety data sheets and labels making use of unique ERP capabilities only SAP has. With SAP S/4HANA®, customers can ensure now the globally compliant and marketability of their products to enter markets in shorter time and safeguard revenues.

This presentation introduces and demos features of SAP S/4HANA, looks into the SAP road map, and shares customer experiences. It also highlights how digital transformation will change the product stewardship process by introducing, for instance, machine learning.

Key Business Benefits:

• Protect the brand while reducing compliance costs
• Increase revenue and ensure on-time delivery
• Increase visibility into compliance

SAP continues to make key investments in the Digital Manufacturing portfolio to enable industry 4.0 (the fourth industrial revolution) in the chemicals industry. Gain insights into big data strategies that leverage a mix of edge intelligence, on-premise, and cloud computing to drive new insights into operations. Take a journey through interesting use cases leveraging analytics and machine learning for manufacturing.