How Leading Enterprises Transform Data Operations with Dremio: Insights from Industry Leaders

At a recent customer panel moderated by Maeve Donovan, Senior Product Marketing Manager at Dremio, three of Dremio's largest customers came together with Tomer Shiran, Founder of Dremio, to share their experiences implementing Dremio's intelligent lakehouse platform. Antonio Abi Saad, Group Chief Data Officer at Sodexo, Karl Smolka, Associate Vice President - Data Platform & Analytics at TD Securities, and Mark Sear, Director of AI Solutions Engineering at Maersk, discussed their journeys, challenges, and the transformative impact Dremio has had on their organizations.

Breaking Down Data Silos: The Common Challenge

All three organizations faced similar challenges that led them to choose Dremio. Karl Smolka from TD Securities highlighted the primary issue: "We have data splattered around our organization. And really the first challenge we wanted to solve was making that data accessible to people."

Antonio Abi Saad from Sodexo, which serves 80 million consumers daily across 45 countries, echoed this sentiment. With data created and consumed globally across different technologies, Sodexo needed to "hide all this complexity" and provide "one semantic layer, one same understanding of the business data."

Mark Sear from Maersk noted how their implementation started small but grew organically: "We started off only intending to use Dremio in one small use case... we now have 5,000 users at least, executing millions of reports a day" with "somewhere in the region of 25,000 tables now in Dremio."

Measurable Success and Scale

The panel revealed impressive metrics demonstrating Dremio's impact:

• Sodexo: Achieved more than 500 datasets in production with over 200 data citizens using the platform, "growing really, really fast"
• Maersk: Scaled from one small use case to 5,000+ users executing millions of reports daily
• TD Securities: Successfully democratized data access across their organization through self-service capabilities

Enabling Self-Service Analytics and AI-Ready Data

The discussion emphasized how Dremio has enabled organizations to create AI-ready data products and empower business users through self-service analytics.

Key Benefits Highlighted:

• Democratized Data Access: Karl described how Dremio's self-service mentality eliminated the bottleneck of centralized IT teams handling every data request: "That sort of centralized model of pushing everything through a central IT team is just not scalable."
• Unified Semantic Layer: Antonio detailed how Sodexo connected diverse point-of-sale systems across countries to a single semantic layer, enabling both AI products and analytics: "We were able to connect all our artificial intelligence product but all our analytics."
• Cost Efficiency: Mark emphasized the business impact: "It will save us time and money... Our job is to serve the users better, and the latest release is going to lower our total cost of ownership."

The Power of Intelligent Automation

Following Dremio's release on April 8th featuring Intelligent Automation, the panelists expressed excitement about autonomous reflections and AI-enabled semantic search capabilities.

Antonio shared his enthusiasm for the semantic search capability, explaining how it could be a "game changer" that would allow users to interact directly with data rather than navigate multiple dashboards: "Imagine, for example, you have an account manager that is preparing for its client meeting... potentially what we could have with this new functionality is having this kind of account manager directly asking the question."

Mark described this as a "paradigm shift," explaining how it would reverse traditional approaches: "People will say, I no longer need to take vast aggregations of data put them into the cube in the hope that one day I might need one of the 2 trillion calculations."

Tomer Shiran explained how these capabilities enable true automation and self-service: "The system has to understand these things on its own... in order to empower this new era of AI agents."

Industry Trends and Future Priorities

Looking ahead, the panelists shared their priorities for the next 1-2 years:

1. Data Centricity: Antonio emphasized the need for organizations to become "full data centric" to take advantage of AI and agentic capabilities
2. Organizational Change: Karl stressed that becoming data-first would be "table stakes" going forward, requiring changes in people, processes, and literacy
3. Data Leadership: Mark highlighted that "every single person needs to be a data leader," noting this is "the most exciting time to be in tech" and that "the dreams we had for data are about to be realized"

Practical Advice for Organizations

The panelists offered valuable advice for organizations starting their intelligent lakehouse journey:

• Focus on business problems first
• Have quick wins to avoid the "tunnel effect"
• Balance foundational investments with business use cases
• Invest in the right team and skills from the beginning
• Enable self-service to reduce dependency on central teams
• Think globally with regional autonomy

As Mark enthusiastically noted, "The Singularity is coming, and it's just a wonderful time to be both in data and tech."

Learn More

Discover how other industry leaders are transforming their data operations with Dremio:

• Watch the Roundtable Discussion
• Read the Maersk case study
• Read the TD Securities case study

Ready to transform your data operations? Try Dremio for free today or contact our team to schedule a personalized demo.