Justin Custer’s Post

$1.2M spent on Tableau and 14 months to ship 846 dashboards. 90% were abandoned within 60 days. The data gave you ZERO answers.  Your VP of Ops still waits 45 seconds, clicks 7 filters, and exports to Excel. Dashboards are where data goes to die. I've watched this play out at company after company. The CFO asks for ""better visibility."" The BI team spends 14 months building Tableau. $1.2M in implementation costs. $180K/year for an analyst to babysit it. The result is graveyard of charts nobody opens. - Executive requests a report. - BI team builds it in 6-8 weeks. - Executive looks at it twice. - Dashboard joins 846 other abandoned dashboards. - Rinse. Repeat. Burn cash. Meanwhile, the people who actually need answers are still exporting CSVs and building pivot tables in Excel. Because the dashboard doesn't answer their question. It answers last quarter's question frrom someone who left the company. Dashboards are CYA artifacts. They exist so someone can say "we have reporting" in a board meeting. Not so operators can make faster decisions. I talked to a VP of Ops last quarter while doing customer interviews. She manages a $50M pipeline. Her morning routine: - Log into Tableau. - Wait 45 seconds for it to load. - Click through 7 filters. - Export to Excel. - Build the actual report she needs. And even worse at a company level: - 9-15 months to implement legacy BI. - $1M+ in consulting and setup costs. - $150-200K/year for analysts to operate it. - 90% of dashboards abandoned within 60 days. You're paying for the illusion of insights (cause this hand waving gives you no answers). What should happen instead: - Daily briefings in their inbox. - Specific to their role. - No login required. - No 47 clicks to find the number. Setup time should be less than 24 hours. Your operators need answers delivered to where they already work. Everything else is a racket.