"Identify the signals that should run the business." — Most BI failures are not technical failures — they are decision-design failures.
PiQuant Signal™ ensures analytics initiatives start with decision architecture, not report development — preventing tool-led implementations and failed adoption.
1
SCAN
→
2
STRUCTURE
→
3
SYNTHESIZE
→
4
SEQUENCE
Decision Map
Value Tree
KPI Contract
Governance Blueprint
Intelligence Roadmap
Typical Client Problems
- "We bought a BI tool but adoption is low"
- Competing reporting platforms with no single source of truth
- IT owns data, business doesn't trust it
- Executive dashboards unused and outdated
- No clear ROI from analytics spend
What We Deliver
Analytics Vision & Roadmap
- Current state maturity assessment
- Stakeholder interview workshops
- Use-case prioritization & value realization mapping
- Platform rationalization (Power BI vs FDI vs OAC vs Domo etc.)
- 12–24 month analytics roadmap
Operating Model Design
- Centralized vs federated vs data product model
- Business vs IT ownership structure
- Intake & prioritization process
- Funding model (project vs product)
Business Case & ROI Framework
- Adoption KPIs
- Cost avoidance / productivity metrics
- Decision velocity metrics
- Reporting retirement plan
Analytics Maturity Scorecard
Target Operating Model
Roadmap & Investment Plan
Governance Charter
Typical Client Problems
- "My numbers don't match finance"
- 10 different definitions of revenue across the organization
- Shadow metrics proliferating in spreadsheets
- Analysts recreating logic from scratch every time
What We Deliver
Governance Structure
- Data owner & steward roles definition
- Decision authority model
- KPI certification workflow
Metric Standardization
- KPI catalog with business definitions
- Source-of-truth mapping (ERP / HCM / SCM / Data Warehouse)
Data Quality & Certification
- Certification tiers (Gold / Silver / Experimental)
- Auditability framework
- Semantic layer governance
Data Governance Playbook
KPI Dictionary
Data Certification Process
Stewardship RACI
This framework answers: What decisions should analytics improve, and what operating model sustains it?
Phase A
Discover
Understand Decisions & Business Context
- Executive stakeholder interviews
- Decision mapping workshops
- Current reporting inventory
- Pain point & latency analysis
- Data trust assessment
- Organizational readiness evaluation
✓Decision Inventory
✓Maturity Assessment
✓Waste Analysis
✓Opportunity Heatmap
Phase B
Define
Create the Analytics Value Model
- KPI definition sessions
- Metric standardization
- Value driver decomposition
- Prioritization scoring (impact vs effort)
- Platform rationalization
✓KPI Catalog
✓Value Tree
✓Prioritization Matrix
✓Business Case
Phase C
Architect
Design the Operating Model
- Ownership model design
- Governance structure definition
- Intake & backlog process design
- Data stewardship assignment
- Funding model definition
✓Target Operating Model
✓Governance Charter
✓RACI Matrix
✓Dev Lifecycle Workflow
Phase D
Roadmap
Sequence the Transformation
- Capability sequencing
- Dependency mapping
- Adoption readiness alignment
- Incremental release planning
✓12–24 Month Roadmap
✓Release Plan
✓Value Timeline
✓Success KPIs
Key Questions We Answer
- What decisions are delayed or subjective today?
- Where do managers rely on intuition instead of data?
- Which reports exist but don't influence behavior?
- What decisions cost the business the most money when wrong?