Myth and Reality of Messy Data as a Blocker in the Age of Generative Business Intelligence (GenBI)
Abstract For three decades, data quality has been the most cited reason BI programs stall. The prevailing belief is simple: if the
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Beye’s blog spotlights practical Generative BI, data fabric, and AI workspace tactics that help mid-market teams turn messy ERP, CRM, and spreadsheet data into governed, conversational insights—fast.
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Read moreBeye® Appoints Kate Nadolny as Strategic Advisor
For Immediate ReleaseOctober 3, 2025 Beye® announced today that Kate Nadolny has joined the company as a strategic advisor. In this role,
Read moreWhitepaper: The Quiet Cost of Judgment Error
The Quiet Cost of Judgment Error Why Decision Hygiene & Generative BI Deserve a Place on the Board Agenda Download the full PDF
Read moreOur Thoughts on AI Agents in the Context of Generative Business Intelligence
There is a lot of hype surrounding AI Agents and Generative BI right now, and with that hype comes skepticism. Many business
Read moreWhat is Generative BI? And Why Does It Make Actionable Intelligence More Accessible for Organizations
In today's fast-paced business environment, organizations often rely on multiple systems to run and maintain their operations, including ERP, PoS, CRM, and
Read moreHow We Are Leveraging GenBI to Empower SMBs with Self-Serve Analytics
At B/eye, our leadership team has 25 years of combined experience in building enterprise SaaS platforms for business intelligence (BI). We understand
Read moreEmpowering Every Business Through Data: Beye.ai’s Vision for Accessible Analytics
In a world increasingly driven by data, the ability to harness insights effectively is not just an advantage but a necessity for
