In the current analytics landscape, three macro trends are reshaping how organizations should think about tooling.

1) Shift from self-service BI to engineering-centric analytics

As analytics decentralizes, self-service must be paired with self-service engineering and federated governance so many teams can move fast without fragmenting definitions.

More people and teams engage directly with transformation, pipelines, and data wrangling.

This increases democratization, but it also raises the bar for guardrails, standards, and platform usability.

2) The metrics store as a shared repository of truth

This is the “headless BI” pattern: define metrics once in shared infrastructure, then let any analytics tool consume them consistently.

Many organizations are moving KPI logic out of dashboards and into shared infrastructure.

A metrics store centralizes definitions and calculation logic so teams can reuse metrics consistently across tools.

3) ESG metrics as the new “financial metrics”

ESG metrics are rising in importance, and they are often more complex than traditional business metrics.

Tooling and governance need to handle diverse inputs and stricter expectations for auditability.

Practical implications

• Invest in engineering-friendly analytics workflows (not just reporting UX).
• Build (or buy) a shared metric definition layer so teams reuse logic instead of reinventing it.
• Treat complex metric domains like ESG as a forcing function for stronger metadata, governance, and quality.

4) Q&A becomes a first-class interface (not only dashboards)

For many questions, dashboards are the wrong interface.