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Overview
Strategic advisory in Data and Business Intelligence focuses on helping organisations decide what data to measure, how to use it, and how to align analytics with operational and strategic goals.
At AZITS, this advisory work connects measurement, reporting, and analytics to real decision needs—ensuring data initiatives are purposeful, practical, and sustainable.
Align data initiatives with organisational goals
Define what should be measured and why
Prioritise analytics efforts
Improve decision support structures
Reduce fragmented reporting and metrics
Scope
Design review planned
01
Measurement and KPI framework design
02
Reporting and dashboard strategy
03
Data use in planning and oversight
04
Analytics readiness assessment
05
Performance monitoring structures
Key Function
Design review planned
01
Identifying key decision points
02
Mapping decisions to required metrics
03
Defining decision-support views and reports
04
Reducing unused or low-value metrics
05
Strengthening management review processes
Analytics
Design Review planned
01
Phased dashboard and reporting plans
02
KPI framework development
03
Data quality improvement priorities
04
Predictive and advanced analytics readiness
05
Governance and ownership models
How it Fits
Strategic advisory provides the guiding structure behind interactive dashboards, custom reporting tools, KPI and performance tracking, and predictive analytics initiatives. It ensures these services are aligned and mutually reinforcing rather than isolated efforts.
Strategy should match organisational capacity
Metrics should remain limited and meaningful
Governance and ownership must be defined
Implementation should be phased
Review and adjustment should be ongoing
When to Consider
Dashboards and reports exist but lack direction
KPIs are unclear or inconsistent
Leadership needs better decision support
Analytics efforts are fragmented
Data investments need clearer priorities
Strategic advisory in Data & Business Intelligence works best when combined with practical implementation. AZITS can help clarify measurement priorities, design decision-support structures, and guide the rollout of dashboards, reporting, and analytics in a coordinated way.