The End of BI? A Candid Conversation About Analytics in 2035
Anouk and Luke set aside the slides and talk through where analytics is headed over the next decade.
What will data and analytics look like 10 years from now? The short answer is we don’t know. The longer answer is this conversation.
Anouk and Luke from Datalogz cover hype cycles (including the year governance got rebranded so nobody had to say the word), why business users have only ever cared whether their numbers are right and fast, and what the self-service wave left behind when it pulled back out to sea.
They also get into the part that’s genuinely scary: teams connecting AI agents straight to the data layer and building reports on the fly, often without guardrails or lineage. A human can make mistakes, but at least a human is accountable. The good news is that a new generation of business users is skeptical from day one, and they’re asking where the numbers came from.
Their take on the next decade: the line between BI and analytics blurs, semantic layers in Snowflake and Databricks change what “a BI tool” even means, and the real work shifts from tracing back data to tracing back language. Governance doesn’t start at the warehouse. It starts at the consumption layer, where people actually make decisions.
Learn more about how Datalogz governs the decision layer. Book a demo.
