Technology Stack

A Focused Analytics Stack

We uses a carefully selected set of technologies to build trusted reporting foundations, decision-ready dashboards, and AI-powered reporting experiences.

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BigQuery dbt Tableau Power BI AI / LLMs
Focused analytics architecture
Business Systems
BigQuery
dbt
Trusted Metrics
Tableau / Power BI
AI Reporting

Technology operating model

How the stack works in delivery

The tools are not the strategy. The strategy is a governed reporting lifecycle: collect business data, model it properly, define trusted metrics, deliver BI people use, and add AI where the reporting foundation is reliable.

01

Business systems

Operational platforms, files, APIs, CRM, finance, sales, and workflow systems provide the source data.

02

Warehouse foundation

BigQuery centralises and scales reporting data so teams are not relying on scattered extracts.

03

Analytics engineering

dbt transforms raw data into tested staging, intermediate, and mart models with documented logic.

04

Trusted metrics

Semantic definitions, KPI rules, and business context make reporting consistent across teams.

05

Reporting experience

Tableau and Power BI turn governed data into dashboards for leaders, managers, analysts, and operations teams.

06

AI reporting layer

AI summaries, business questions, executive briefings, and custom reporting workflows sit on top of trusted data.

Analytics warehouse

Google BigQuery

BigQuery centralises reporting data and supports analytics workloads. It gives organisations a scalable cloud warehouse for large-scale SQL, data consolidation, reporting workloads, and AI-ready datasets.

  • Cloud analytics
  • Reporting workloads
  • Large-scale SQL
  • Data consolidation
  • AI-ready datasets
Sources
BigQuery Warehouse
Analytics Workloads
Reporting Datasets

Faster Reporting

Centralised data gives teams a cleaner foundation for dashboards and analysis.

Scalable Analytics

BigQuery supports growing data volumes and reporting demand without traditional infrastructure overhead.

Reduced Complexity

Less server management and fewer fragmented reporting extracts.

Transformation and modelling

dbt Analytics Engineering

dbt turns raw data into trusted reporting models. It gives analytics teams a controlled way to build staging models, intermediate models, marts, tests, documentation, version control, and reusable business logic.

  • Staging, intermediate, and mart layers
  • Testing and documentation
  • Version-controlled transformation logic
  • Reusable business definitions
Raw
Staging
Intermediate
Mart
Dashboard

Trusted Metrics

Business logic is defined in a governed modelling layer rather than scattered across reports.

Governed Reporting

Tests and documentation help teams understand and trust reporting outputs.

Reduced Duplication

Reusable models reduce repeated calculations across Tableau, Power BI, and AI reporting.

Advanced analytics and BI

Tableau

Tableau supports advanced analytics, data exploration, executive reporting, operational reporting, self-service analytics, and governed dashboard delivery.

  • Executive reporting
  • Operational reporting
  • Self-service analytics
  • Data exploration
  • Dashboard governance
Tableau Superstore-style sales performance dashboard Superstore Executive Sales Tableau Dashboard Region: West Segment: Corporate Category: All 2026 YTD Sales $4.8M +12.4% Profit $683K +8.1% Margin 14.2% -0.6 pts Orders 5,009 +6.7% Monthly sales and profit trend Profit by category Technology Office Supplies Furniture

Decision-Ready Dashboards

Clear dashboards help leaders understand business performance quickly.

Improved Visibility

Teams can see operational and financial performance in a consistent reporting experience.

Analytics Adoption

Well-designed Tableau environments improve repeated use and self-service analysis.

Microsoft reporting ecosystem

Power BI

Power BI supports Microsoft-aligned reporting, semantic models, operational dashboards, and executive reporting for organisations that need broad business adoption.

  • Dashboards
  • Semantic models
  • Operational reporting
  • Executive reporting
Power BI operational reporting dashboard Power BI Operations Command Center Current Month Region Business Unit Operational Owner Revenue $6.2M +7% Ops SLA 96% On track Open actions 18 5 urgent Revenue forecast Cost by function Drill-through detail Customer, product, region, action owner Adoption 82%

Business-Wide Reporting

Power BI supports reporting rollout across finance, operations, sales, workforce, and leadership teams.

Microsoft Alignment

It fits organisations already standardised around Microsoft collaboration and reporting workflows.

Operational Visibility

Semantic models and dashboards help teams monitor the metrics that matter.

Reporting enhancement layer

AI-Powered Reporting

AI and LLMs help users understand reporting faster. AI is an enhancement to trusted reporting, not a replacement for governed data, clear metrics, or good dashboard design.

  • AI summaries
  • KPI explanations
  • Commentary generation
  • Natural-language reporting
  • Reporting assistants
Revenue+8%
Margin-1%
Volume+12%
AI summary

Revenue improved due to higher enterprise demand. Margin pressure came from discounting and fulfilment costs.

Recommended next check: compare regional discounting and customer mix.

Faster Understanding

Users get explanations, summaries, and business context directly alongside reports.

Executive Reporting Support

AI can draft commentary, highlight variance drivers, and support management reporting cycles.

Improved Adoption

Reporting becomes easier for non-technical users to consume and act on.