Analytics Engineering & Measurement

Analytics, BI & Enablement

Define metrics once, serve them everywhere, and enable teams with workshops, playbooks, and support.

Where the work starts

Map critical decisions, data sources, and the definitions that are currently disputed
Design a governed semantic layer or ThoughtSpot/BI model that reflects how teams operate
Prioritise the dashboards, alerts, and self serve journeys that matter for revenue and operations

Intended outcomes

Metric definitions aligned across finance, product, and operations with clear ownership
Dashboards and search driven analytics that load quickly and answer follow up questions
Training cadences that drive adoption and lower reliance on ad hoc requests

Tools in context

ThoughtSpot, Superset, dbt metrics, Power BI, Hex

Put the next question to work.

Bring the question, the available evidence and the constraints. Speak directly with the practitioner who will do the work.

Talk through an analytics problem