Скачать или смотреть Why BI is So Bad at Customer Journey Analytics | Data Detective – Ep. 6

In this episode of Data Detective, Rachel Herrera explores why traditional BI tools fall short when it comes to Customer Journey Analytics. While platforms like Tableau, PowerBI, and Looker excel at dashboards and revenue reporting, they struggle with behavioral analysis like funnels, paths, cohorts, and retention.

Rachel breaks down:
Why BI’s reliance on aggregated data makes it nearly impossible to track individual user journeys.
The complexity (and fragility) of building funnels and paths in SQL inside BI tools.
How losing transparency between BI dashboards and external tools creates inconsistent insights.
Why Customer Journey Analytics (CJA) platforms like Kubit, built directly on your warehouse, solve these problems with purpose-built SQL, flexible exploration, and true transparency.

Rather than replacing BI, CJA works alongside it—giving enterprises the “why” behind user behavior to complement BI’s “what happened” view.

#CustomerJourneyAnalytics, #BI, #DataDetective, #kubit