Insight Services
Analytics
& Business Intelligence.
We engineer the semantic layer, reporting infrastructure, and self-service analytics capabilities that transform raw warehouse data into board-level insights. Our approach combines rigorous data modelling with world-class BI tooling—ensuring every metric is consistent, trusted, and discoverable by the business users who need it.
Core Capabilities
Semantic Layer & Metrics Store
Design and implementation of a centralised metrics store (dbt Semantic Layer, Cube.js, or AtScale) so every team is calculating revenue, churn, and margin using a single, governed definition.
Self-Service BI Platforms
Deployment, configuration, and enablement of Looker, Tableau, Power BI, or Metabase—including governance policies for certified dashboards, data sources, and row-level security.
Advanced Analytics Engineering
Building statistical models, customer segmentation, and forecasting assets inside the warehouse using dbt, Python, and SQL ML functions, making insight directly actionable from existing BI tools.
Embedded Analytics
Integration of white-labelled reporting and analytics directly into your product or customer portal—using Looker Embedded, Sigma, or Superset APIs for a fully branded, interactive experience.
Executive & Operational Dashboards
Design and build of C-suite performance dashboards and operational control centres linked directly to live operational data, delivering the metrics that drive daily decisions.
Analytics Enablement & Training
Structured capability-building programmes to make your internal teams self-sufficient—from data analyst onboarding to advanced dbt and SQL training for engineering teams.
Our Methodology
KPI & Metric Alignment
Executive and business-unit workshops to map strategic objectives to measurable KPIs. Output is a formal Metric Catalogue with agreed definitions, owners, calculation logic, and reporting frequency.
Data Modelling
Construction of dimensional models (Kimball-style star schemas) or OBT patterns in the data warehouse, documented and version-controlled using dbt with automated testing on every build.
Dashboard Build & Certification
Development of the reporting layer against the certified semantic layer, with a formal review and sign-off process to ensure every published dashboard is accurate and reflects agreed metric definitions.
Adoption & Iteration
User training, governance enforcement, and usage analytics to measure adoption and iteratively improve reports. Monthly sprint cycles to incorporate new business questions and data sources.
Measurable Outcomes
Single source of truth for all core business metrics, eliminating spreadsheet discrepancies and conflicting reports.
60% reduction in ad-hoc data requests as business users become self-sufficient in answering their own questions.
Average dashboard load time under 3 seconds on certified dashboards through pre-aggregation and caching strategies.
Consistent metric definitions used across Finance, Marketing, Product, and Operations for the first time.
Monthly reporting effort reduced from 5 analyst-days to under 4 hours through automated data pipelines and pre-built templates.
Ready to build a culture of data-driven decisions?
Let's architect a solution built precisely for your enterprise requirements.