About this conversation
This episode looks at the relationship between business intelligence and the organisation it serves. Its published description covers the size and structure of analytics teams, career paths and the distinction between BI, data analytics and data science.
The discussion includes choosing a data stack for different stages of a company, comparing Looker, Power BI and Tableau, and deciding which KPIs deserve attention. It also considers the trade-offs of outsourcing analytics.
A recurring theme in the episode description is turning observation into action: focusing on a manageable set of input metrics and bringing data teams closer to business functions. AI copilots and more interactive dashboards form part of its outlook for BI.
Topics explored
Teams and ownership
Team size, motivation, career paths and the connection between data teams and the business.
Metrics that matter
Input metrics, KPI selection and avoiding excessive reporting.
Tools and delivery
Data stacks, BI platforms and the trade-offs of outsourcing.
The changing role of AI
AI copilots, interactive interfaces and the relationship between analytics and governance.
Who this episode is for
Heads of Data, BI leaders, founders and business teams developing their analytics capability.
This overview is based on the published episode description. It is not a transcript.