Group 1 - Denodo has achieved Snowflake Financial Services Competency certification, demonstrating its capability to assist financial institutions in meeting data management, regulatory compliance, and digital transformation needs through Snowflake Data Cloud [1] - The certification is awarded to partners with mature solutions and delivery capabilities in banking, capital markets, and insurance, highlighting Denodo's commitment to the financial industry [1][2] - Denodo's platform provides financial institutions with flexibility and governance, enabling unified data management across cloud and on-premises environments, including data stored in Snowflake [2] Group 2 - The integration of Denodo Platform's real-time data delivery capabilities with Snowflake's secure and scalable Data Cloud allows joint customers to advance various use cases [2] - Denodo has previously achieved Snowflake technology readiness validation and is recognized as a top partner in the Snowflake AI Data Cloud product tier, enhancing its ability to maximize data value for enterprises [2] - Denodo's platform enables organizations to deliver trusted AI-ready and business-ready data in one-third of the time compared to traditional data lakes or other mainstream data platforms, with performance up to 10 times higher [3]

Snowflake (SNOW) Update Summary Company Overview - **Company**: Snowflake Inc. (SNOW) - **Event**: Update/Briefing on June 11, 2025 - **Key Speakers**: Ruby (Head of Partner Marketing for APJ), Mike Garnan (CRO), Ash Willis (VP of Partner Alliance for APJ) Key Points Industry and Market Position - Snowflake is experiencing significant growth, with over 20,000 attendees at their recent summit, doubling their growth from the previous year [4][5] - The company is a sponsor for the LA 2028 Olympics, indicating strong brand visibility and market engagement [7] Financial Performance - Snowflake reported a billion-dollar revenue quarter, representing a **26% year-on-year growth** [18] - The company's **net revenue retention rate** is at **124%**, indicating that existing customers are expanding their contracts [18] - Remaining revenue obligation (RPO) stands at **$6.7 billion**, a **34% year-on-year increase**, suggesting strong future revenue potential [18][24] Customer Engagement and Product Adoption - Snowflake has a total of **11,200 customers**, with **451 new customers** added in Q1 [19] - Approximately **50% of customers** are actively using Snowflake's AI and ML products, showcasing strong adoption of advanced technologies [19] - The company emphasizes the importance of simplifying AI initiatives for customers, which is a key selling point [20] Strategic Focus and Partnerships - Snowflake is focusing on building a robust partner ecosystem to drive consumption and accelerate migrations from legacy systems [25][27] - The company is targeting traditional warehousing technologies like Teradata and Oracle Exadata for migration opportunities [26] - A unique compensation structure is in place where sales teams are incentivized based on consumption rather than contract bookings, aligning interests with customer success [25] AI and Innovation - Snowflake is leveraging AI to enhance productivity and drive business outcomes, with examples of AI applications improving operational efficiency [35][36] - The partnership with Spark New Zealand and Relational AI is highlighted as a strategic move to enhance decision-making capabilities through AI [75][90] Summit Insights - The recent summit showcased a strong network effect, with **70% of content delivered by customers**, emphasizing real-world applications of Snowflake's technology [40] - The event attracted a diverse audience, including business leaders and technical experts, indicating a shift towards business impact rather than just technology [39] Future Outlook - Snowflake plans to invest significantly in its partner ecosystem, including traditional resellers and systems integrators, to scale its business efficiently [48][50] - The company aims to activate its channel to potentially exceed **35% growth** in the future [52] Customer Case Studies - Spark New Zealand is leveraging AI to streamline processes, such as call summarization, which enhances data quality and operational efficiency [84][89] - Relational AI is working with Snowflake to create a relational knowledge graph, addressing knowledge silos within organizations [97][100] Additional Insights - The emphasis on AI is not about job replacement but enhancing productivity and enabling existing employees to work more efficiently [35][36] - The partnership approach is seen as crucial for future innovation, with a focus on collaborative growth and shared success [109][110] This summary encapsulates the key insights and strategic directions discussed during the Snowflake update, highlighting the company's robust growth, innovative use of AI, and commitment to building a strong partner ecosystem.

Core Insights - Denodo has achieved the Snowflake Financial Services Competency, highlighting its capability to assist financial services organizations with data management and digital transformation needs using the Snowflake Data Cloud [1][2]. Company Overview - Denodo is recognized as a leader in data management, offering the Denodo Platform, which is designed for transforming data into reliable insights and outcomes across various data-related initiatives [5]. - The Denodo Platform enables organizations to manage data across both cloud and on-premises environments, providing agility and governance [3]. Industry Impact - The Snowflake Financial Services Competency is awarded to partners that demonstrate success in delivering tailored solutions for the financial services sector, including banking, capital markets, and insurance [2]. - Denodo's partnership with Snowflake is strengthened by this competency, positioning Denodo as a strategic data management partner for financial services firms pursuing digital innovation [4]. Use Cases - The combination of Denodo's real-time data integration and Snowflake's secure Data Cloud allows joint customers to implement various use cases, such as AI/ML modeling, real-time regulatory reporting, customer 360 views, fraud detection, ESG reporting, and cloud modernization [6].