What We Do
Most organisations have more data than they know what to do with, and less insight than they need to act. TGSlive builds the analytics layer between the two — covering data architecture, BI platforms, predictive modelling, governance frameworks, and the KPI structures that connect data to decisions at the executive level.
Our analytics team of 14 specialists works across the full analytics maturity spectrum — from clients who need a clean data foundation and basic reporting, to organisations building enterprise-grade predictive models and real-time decision engines. We do not prescribe a tool; we prescribe what your data needs to do, then select the right platform to do it.
Core Capabilities
- Data Architecture & Engineering — Modern data stack design, pipeline build-out, data lake and warehouse configuration. We work with Snowflake, Databricks, BigQuery, Azure Synapse, and on-premise environments. Clean, governed data is the foundation of everything else.
- Business Intelligence & Dashboarding — Executive dashboards, operational scorecards, and self-service BI build-out in Power BI, Tableau, Looker, and Qlik. We design for decision-making — not for visual interest.
- Predictive Modelling — Demand forecasting, churn prediction, pricing optimisation, and propensity models. Time-series, ensemble, and regression-based approaches calibrated to your data quality and refresh frequency.
- KPI Framework Design — End-to-end KPI architecture from strategic metrics to operational leading indicators. We align measurement to accountability — so the number on a dashboard connects directly to a person and a decision.
- Data Governance — Data ownership frameworks, quality standards, lineage documentation, and master data management. The infrastructure that makes analytics sustainable, not just functional.
- Analytics Capability Building — Training, hiring support, and CoE (Centre of Excellence) design for organisations building internal analytics capability alongside our engagement.