InTDS ArchivebyRobert Yi·Aug 17, 2023Should We Be More Data-Driven? Sometimes.When to be data-driven, and when data-driven just gets in the way.A response icon7A response icon7
InTDS ArchivebyRobert Yi·Jun 28, 2023How Poor Stakeholder Management Ruins AnalyticsWhy taking ownership of the analyst-stakeholder interface can instantly make your life better and your work more impactfulA response icon6A response icon6
InTDS ArchivebyRobert Yi·May 13, 2023Build More Analyses, Build Less DashboardsWhy we should move to a world where analyses are the default first stepA response icon21A response icon21
InTDS ArchivebyRobert Yi·Jan 16, 2023The bad loop ruining analyticsHow an over-emphasis on technical work has been disastrous for analyticsA response icon2A response icon2
InHyperquerybyRobert Yi·Jan 3, 2023The SQL IDE should dieWhy I hate the IDE — at least, for analytics work.A response icon1A response icon1
InTDS ArchivebyRobert Yi·Oct 18, 2022How to Run Your Data Team Like a Product TeamGreat product teams are user-centric and proactive. Great data teams would benefit from doing the same.
InTDS ArchivebyRobert Yi·Sep 6, 2022Why You’re Doing Ad Hoc Analytics WrongBefore your next SQL dumpster dive: ask why and document everythingA response icon5A response icon5
InTDS ArchivebyRobert Yi·Aug 21, 2022What Is Ad Hoc Analytics, and Why Should You Care?Relegating all data consumption to self-service is not as effective as we’d hopedA response icon2A response icon2
InHyperquerybyRobert Yi·Mar 16, 2022Why Analytics SucksWe’re data vending machines, and our tools aren’t helping. Hyperquery can help.A response icon1A response icon1
InTDS ArchivebyRobert Yi·Mar 4, 2022Speed Changed Analytics, but Our Processes Need to Change Too.Let’s take a breath and rethink how we work.
