Saved 100s of hours of manual processes when predicting game viewership when using Domo’s automated dataflow engine.


Solving the Semantic Layer:
Forrester Strategies with Domo Technology
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Ben Schein has over two decades of experience leading user adoption and implementing large-scale BI and analytics initiatives that deliver quantifiable business value. As an eight-year Domo user and content creator, Ben brings empathy, intellectual humility, and transparency to his role as SVP of Product, in which he oversees Domo’s Product Management and UX teams, as well as guides overall product roadmap for Domo. Ben also leads Domo’s Strategic Architecture Group (SAG), which advises on architectural patterns for complex implementations. He is a passionate advocate of sparking the fire of data curiosity and innovation for Domo customers across the globe. Prior to Domo, Ben worked at Target Corporation where he led merchandising analytics and enterprise BI capabilities within the Enterprise Data Analytics and BI (EDABI) Center of Excellence. Ben holds a bachelor’s degree in Philosophy, Politics and Economics from the University of Pennsylvania and an MBA in Strategy and Finance from the Carlson School of Management at the University of Minnesota.


Boris serves technology, data, AI, and analytics executives, leaders, and professionals. He is a leading expert in data, analytics, and AI business and technology capabilities. Boris delivers strategic guidance, helping enterprises define data, analytics, and AI strategies, governance, and architectures and identify vendors and technologies that help them put information to use in business processes and end-user experiences.
Boris’ current research focuses on the practical and actionable best practices for building data, analytics, and AI strategies, roadmaps, and business cases, including a holistic look at people, process, data, and technology components. Specifically, Boris researches technologies such as structured data analytics (aka business Intelligence) as well as mining and analyzing data from unstructured data (text mining and analytics) and semi-structured documents (document mining and analytics). Boris also continues to explore emerging trends, most recently the infusion of AI — including generative AI — into data and analytics enterprise.
To buy or not to buy — that’s the question every modern organization faces when it comes to the semantic layer. In this exclusive webinar, Forrester’s Boris Evelson joins Domo’s Ben Schein to explore the pros and cons of building your own versus adopting a proven platform that’s already powering the next generation of Agentic AI.
You’ll hear how forward-thinking companies are scaling AI faster and with less risk by grounding it in a semantic layer that’s structured, governed, and built for automation. Along the way, Forrester will share guidance on staying ahead of industry standards and best practices — plus practical insights for teams looking to turn AI ambition into measurable results.


Ben Schein has over two decades of experience leading user adoption and implementing large-scale BI and analytics initiatives that deliver quantifiable business value. As an eight-year Domo user and content creator, Ben brings empathy, intellectual humility, and transparency to his role as SVP of Product, in which he oversees Domo’s Product Management and UX teams, as well as guides overall product roadmap for Domo. Ben also leads Domo’s Strategic Architecture Group (SAG), which advises on architectural patterns for complex implementations. He is a passionate advocate of sparking the fire of data curiosity and innovation for Domo customers across the globe. Prior to Domo, Ben worked at Target Corporation where he led merchandising analytics and enterprise BI capabilities within the Enterprise Data Analytics and BI (EDABI) Center of Excellence. Ben holds a bachelor’s degree in Philosophy, Politics and Economics from the University of Pennsylvania and an MBA in Strategy and Finance from the Carlson School of Management at the University of Minnesota.


Boris serves technology, data, AI, and analytics executives, leaders, and professionals. He is a leading expert in data, analytics, and AI business and technology capabilities. Boris delivers strategic guidance, helping enterprises define data, analytics, and AI strategies, governance, and architectures and identify vendors and technologies that help them put information to use in business processes and end-user experiences.
Boris’ current research focuses on the practical and actionable best practices for building data, analytics, and AI strategies, roadmaps, and business cases, including a holistic look at people, process, data, and technology components. Specifically, Boris researches technologies such as structured data analytics (aka business Intelligence) as well as mining and analyzing data from unstructured data (text mining and analytics) and semi-structured documents (document mining and analytics). Boris also continues to explore emerging trends, most recently the infusion of AI — including generative AI — into data and analytics enterprise.
Domo transforms the way these companies manage business.




