In a recent webinar, now available on demand, industry leaders explored the synergies and benefits unlocked during successful SAP analytics integration in Snowflake, unveiling strategies for rapid ROI. This session featured expert insights from Matt Florian (Hakkoda), Benjamin Deaver (SNP Group), and John Gontarz (Coalesce).
The panel outlined a five-step blueprint for swift ROI, focusing on efficient migration, integration, and utilization of SAP data within Snowflake. They also presented a compelling case study of a retail client who enhanced data governance by prioritizing analytics migration to Snowflake before S4 implementation, resulting in improved architecture and user adoption.
Navigating SAP Data Complexity in Snowflake Integration
Deaver highlighted the intricacies and significance of SAP data, emphasizing proper ingestion techniques. He introduced SNP Group’s native application, designed to streamline data merging and ingestion, reducing costs and enabling near-real-time access.
“Historical data integration is crucial for maintaining data quality and availability,” Deaver noted. Florian added, “Once migrated to Snowflake, data becomes immediately accessible to consumers through tools like Sigma.”
This approach ensures a seamless transition from SAP to Snowflake, empowering organizations to harness their data’s full potential efficiently and effectively.
Coalesce’s Game-Changing Analytics Layer
From there, John Gontarz showcased Coalesce’s prowess in transforming SAP data within Snowflake. The company’s intuitive SaaS platform empowers both technical and non-technical users to optimize pipelines and seamlessly integrate SAP data with external sources. Coalesce’s modular architecture, featuring pre-configured templates, revolutionizes the traditional ELT process. It streamlines the creation, maintenance, and management of complex SAP datasets, significantly reducing manual coding efforts.Harnessing Hakkōda’s SAP Accelerators
Recognizing the unique requirements of each organization, our speakers highlighted Hakkoda’s suite of SAP project accelerators.
These powerful tools provide a robust foundation for SAP migrations to Snowflake, enabling engineers to focus on high-impact initiatives while completing their migrations in a fraction of the time.
Time-to-value plays a pivotal role in ratcheting up ROI. By leveraging a data stack consisting of Coalesce and Snowflake effectively with the help of a trusted data partner, organizations can significantly compress development and deployment timelines. This acceleration ensures quicker realization of benefits from the modernized system.
Minimizing disruptions to data consumers during system modernization also emerged as a critical focus. The panel advocated for meticulous result validation against curated datasets and swift enhancement of analytical capabilities, emphazing that “seamless transition is the hallmark of successful modernization.”
Modern Solutions to Modern Problems: The Future of SAP Analytics Integration on Snowflake
Every organization, irrespective of its industry or size, operates with unique requirements and expected outcomes. The beauty of integrating Snowflake with SAP data, as discussed by the speakers, lies in the adaptability and flexibility of this integration to meet such unique needs. The ethnography of Snowflake and SAP is a purposeful embrace of diverse business processes, offering customized solutions that resonate with core business strategies.
The partnership between Coalesce, Hakkoda, and SNP Group is a testament to a coordinated effort to help businesses amplify their data journey and derive lasting value from their SAP data in Snowflake. Together, the goal is to craft tools and solutions that accurately resonate with each unique business’s objectives and unlock the insights they need to succeed.
Ready to explore how the right tooling and expertise can help you accelerate your SAP analytics integration and derive more value from your Snowflake investments? View the full webinar on demand here, or reach out to one of our SAP experts to discuss migrating your analytics workloads today.
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