Best Practices for Team or Self-Service BI (with Eiki Sui)

Join us for an exciting livestream event where Eiki will explore the transformative potential of Microsoft Fabric and Power BI in Japan. Eiki will introduce his journey in data analytics and discuss how large enterprises in Japan are embracing Fabric, driven by its innovative Copilot feature and comprehensive data analytics capabilities.

The integration of Power BI and SQL Server communities in Japan has fostered a closer, more collaborative environment due to Fabric's unifying capabilities. Reflecting on a memorable workshop Eiki conducted at the Microsoft office in Japan, the event will highlight opportunities for Fabric adoption, especially among small and medium-sized enterprises (SMCs) new to Power BI. These companies seek a seamless data platform experience, leveraging Fabric's connectivity with Microsoft products like Teams, M365, and Power Platform. As the demand for Power BI expertise grows, this presents significant business opportunities for partners, consultants, and training companies. Don’t miss live demos and insights into maximizing the benefits of Fabric and Power BI for your organization.

GUEST BIO (Eiki Sui) 👤
Eiki Sui is a dedicated member of the Fabric CAT team, responsible for overseeing operations in Japan and the surrounding regions. With a diverse background, Eiki brings a wealth of experience to his role. He began his career as a Financial Planning and Analysis (FP&A) specialist at GE Japan. Before joining the Fabric CAT team, he was an analyst specializing in asset valuation, focusing on inventory and machinery for 13 years.

Eiki's multilingual abilities, including fluency in Japanese, Chinese, and English, have been invaluable in his professional journey, enabling him to effectively communicate and collaborate in a global context. His deep understanding of data analytics and financial planning, combined with his linguistic skills, positions him as a key asset in driving the success of Fabric initiatives in the region.

VIDEO CHAPTERS 📺
0:00 - Video Start
5:00 - Start of Livestream

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