Why It Matters

Dashboards without decisions are just decoration.

Most organisations have reports but few have insight. True business intelligence connects the right metrics to the right people at the right time, turning data into confident, fast decisions at every level of the organisation.

Decisions at SpeedTrusted, governed metrics reach decision-makers in real time, eliminating report-waiting cycles.
One Version of the TruthConsistent KPI definitions and a single semantic layer end the argument about whose numbers are right.
Self-Service EmpowermentBusiness users explore data independently, freeing your analysts to focus on higher-value work.
01

Strategy

BI vision, platform roadmap, and analytics maturity planning.

02

Data

Semantic models, data warehouses, and trusted metric layers.

03

Insight

Dashboards, reports, and self-service analytics at scale.

04

Culture

Data literacy, adoption, and analytics governance.

The four pillars of enterprise Business Intelligence

What We Deliver

Eight advisory services, each designed to elevate a specific layer of your business intelligence capability

01

BI Strategy & Roadmap

Define a clear analytics vision tied to business objectives. We build a phased BI roadmap covering platform evolution, capability development, and the organisational changes needed to make insight a core competency.

Analytics Vision Phased Roadmap
02

Metrics & KPI Framework Design

Define a single, organisation-wide metric catalogue. We establish KPI hierarchies, standardised definitions, ownership, and a semantic layer that ensures every report is pulling from the same trusted source.

Metric Catalogue Semantic Layer
03

Platform Selection & Vendor Advisory

Independent, vendor-agnostic evaluation of Power BI, Tableau, Looker, Qlik, and other platforms. We score against your requirements, run demos, and support commercial negotiations so you choose with confidence.

Vendor-Agnostic RFP & Scoring
04

Executive & Operational Dashboard Design

Design board-level scorecards, operational dashboards, and departmental reports that tell a clear story. We apply data visualisation best practices and UX principles to ensure insights are absorbed, not just displayed.

Executive Scorecards Data Storytelling
05

Self-Service Analytics Enablement

Design governed self-service environments where business users explore data confidently without breaking things. We define access models, curated datasets, and training programmes that put insight creation in the hands of the business.

Governed Self-Service Curated Datasets
06

BI Governance & Data Quality

Establish report governance policies, certified content programmes, row-level security models, and data quality checks that ensure every insight the business relies on is accurate, timely, and trustworthy.

Certified Content Data Quality Controls
07

Advanced & Predictive Analytics

Move from descriptive to predictive. We integrate forecasting models, statistical analysis, and AI-powered insights directly into your BI platform so decision-makers see what is likely to happen, not just what happened.

Predictive Models AI-Augmented BI
08

Analytics Capability Building

Build the internal analytics muscle your organisation needs long-term. We deliver role-based training, CoE design, data literacy programmes, and change management to shift culture toward evidence-based decision-making.

Analytics CoE Data Literacy

BI That Drives Real Decisions

Measurable impact across every engagement

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BI Implementations Delivered

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Industries Served

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Dashboards Built & Deployed

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Client Satisfaction Rate

Our Advisory Process

Six structured phases from analytics discovery to a self-service BI culture. Every engagement follows this proven playbook.

01
Phase 1

Discovery & Requirements

Stakeholder interviews to understand decision-making workflows, pain points, existing reports, and the business questions that data must answer.

02
Phase 2

Analytics Maturity Assessment

Evaluate current BI tools, data quality, model performance, and user adoption. Benchmark against industry standards and identify the highest-priority gaps.

03
Phase 3

Architecture & Platform Design

Design the BI architecture: data warehouse, semantic model, platform selection, and the governance framework underpinning certified, trusted analytics.

04
Phase 4

Build & Implement

Develop data models, semantic layers, and dashboards. Integrate data sources, apply governance policies, and deliver the first wave of certified BI content.

05
Phase 5

Adoption & Training

Drive user adoption through role-based training, champion programmes, and change management to make data-driven decision-making a daily habit across all teams.

06
Phase 6

Scale & Optimise

Expand BI across business units, add advanced analytics capabilities, optimise model performance, and evolve the platform as the organisation grows.

Make Insight a Competitive Advantage

Partner with Gennova's BI advisory team to build an analytics capability that puts the right data in front of the right people and drives better decisions every day.

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