KPI governance
Define the indicators that matter, their owner, source, calculation logic, quality rules and escalation thresholds.
Business Intelligence Consulting
Business Intelligence consulting for executive decision systems.
Growth Infra helps leadership teams turn fragmented data, dashboards and KPIs into governed decision systems: trusted indicators, clear ownership, executive rituals, AI-assisted analysis and a roadmap that improves how the business decides.
Executive problem
Most BI problems are decision-design problems.
Executives rarely suffer from a lack of charts. They suffer from inconsistent definitions, fragmented systems, unclear KPI ownership, slow reporting cycles, low trust in data and dashboards that do not connect to decisions. The advisory work starts by identifying the decisions that matter, then designing the BI operating model around those decisions.
Dashboard architecture
Separate executive, operational and diagnostic views so each dashboard has a clear user, decision and cadence.
AI-ready decision workflows
Identify where AI can summarize, compare, detect anomalies and prepare management briefs with human validation.
Delivery model
A practical 30/60/90-day path from reporting noise to decision clarity.
| Phase | Focus | Outputs |
|---|---|---|
| Days 1-30 | Decision map, KPI inventory, data sources, reporting pain points and stakeholder interviews. | BI maturity scorecard, prioritized decision use cases and risk map. |
| Days 31-60 | KPI dictionary, dashboard principles, ownership model and quality controls. | Executive dashboard blueprint, data governance backlog and reporting rationalization. |
| Days 61-90 | Implementation roadmap, AI-assisted analysis guardrails, adoption cadence and management routines. | Decision-system roadmap, governance rituals and measurable business outcomes. |
When to use it
Best-fit situations.
Leadership alignment
The executive team wants one version of the truth across finance, sales, delivery, operations or infrastructure.
BI modernization
Existing dashboards exist but do not support prioritization, accountability or board-level decision making.
AI analytics readiness
The organization wants to use AI in reporting and analysis, but needs governance, data quality and human review first.
Need a packaged engagement?
Open Growth Intelligence Tower™Growth Intelligence Tower™ is the dedicated offer for BI, KPI governance and AI decision systems.
Executive BI pillar
Build a decision operating system, not another reporting layer.
World-class Business Intelligence is not measured by the number of dashboards shipped. It is measured by the quality, speed and consistency of executive decisions. Growth Infra Consulting helps leadership teams convert reporting sprawl into a governed decision system where KPI ownership, data definitions, executive cadences and AI-assisted analysis are designed together.
1
Decision inventory
Map the recurring decisions that matter: investment approvals, sales pipeline steering, delivery risk, capacity planning, recovery readiness, margin protection and executive portfolio reviews. Each dashboard must answer a decision question, not just display data.
2
KPI governance
Define the owner, calculation logic, source system, refresh frequency, exception threshold and escalation path for each critical KPI. This prevents executives from debating definitions instead of acting on facts.
3
AI-ready analytics
Prepare BI foundations for AI: clean business definitions, trusted datasets, approved analytical narratives, prompt-safe context and decision guardrails that prevent AI-generated dashboards from becoming unmanaged advice.
Maturity model
From fragmented dashboards to governed decision intelligence.
| Level | Typical state | Executive risk | Growth Infra intervention |
|---|---|---|---|
| 1. Reporting noise | Many dashboards, inconsistent numbers, unclear owners. | Leadership reviews consume time but do not accelerate decisions. | KPI inventory, report rationalization and decision mapping. |
| 2. Functional BI | Finance, sales, operations and delivery dashboards exist separately. | Executives see local truth, not enterprise truth. | Cross-functional KPI dictionary and governance model. |
| 3. Executive control tower | Priority KPIs are connected to actions, thresholds and owners. | Decisions improve, but analytics remains mostly human-driven. | Executive dashboard architecture, cadence design and escalation logic. |
| 4. AI-assisted decision system | AI helps summarize signals, detect exceptions and prepare scenarios. | Without guardrails, AI may amplify bad definitions or weak data quality. | AI decision workflow governance, context packs and human accountability. |
Deliverables
Concrete outputs executives can use immediately.
Executive BI blueprint
A target operating model covering decision domains, KPI ownership, dashboard layers, data sources, governance roles and a pragmatic modernization roadmap.
- Decision catalogue
- KPI dictionary
- Dashboard hierarchy
- Data quality risk register
AI decision workflow pack
A controlled approach to use AI in analytics without losing accountability. It defines what AI may summarize, what must remain human-approved and how outputs are reviewed before business action.
- Approved prompts and context boundaries
- Human-in-the-loop checkpoints
- Exception escalation rules
- Audit-ready decision notes
30/60/90-day roadmap
A sequenced plan to stabilize definitions, improve dashboard usability, remove low-value reporting and launch a high-impact executive decision cockpit.
- Quick wins in 30 days
- Governance stabilization in 60 days
- Decision cockpit rollout in 90 days
Leadership adoption model
BI only works when leadership rituals change. We align dashboards with steering committees, board packs, weekly operating reviews and portfolio governance.
- Meeting cadence alignment
- Decision rights
- KPI escalation thresholds
- Owner accountability matrix
Best next step
Explore Growth Intelligence Tower™Use Growth Intelligence Tower™ when the ambition is to move from dashboards to executive decision intelligence.