Strat & IoT supports organizations throughout their IoT innovation journey: maturity assessment and strategic priority setting to identify the use cases with the greatest impact, innovation program management to test and validate these use cases in the field, structuring funding programs (grants, climate funds, international development finance) to secure the necessary resources, and industrialization to transform each successful pilot into large-scale deployment. This continuity, from strategic vision to scaling, is what distinguishes Strat & IoT from support limited to experimentation.
Why IoT strategies succeed or fail at the level of data and use cases?
An IoT strategy can have the budget, sponsorship and technology in place and still fail: without reliable and available data, no use case can succeed, and without a use case tied to measurable impact, the data serves no purpose. This is not an isolated finding: a widely cited industry study estimates an 85% failure rate for IoT and Big Data analytics projects, with the primary cause being the absence of a clearly identified use case before data collection even begins. This is why the assessment focuses first on these two foundations, not on the technology.
From Strategy to Scaled Value
Assessment
Diagnose ambition, data maturity, operating constraints, and value pools.
Strategy
Prioritize the highest-value opportunities, governance, and executive alignment.
Implementation
Industrialize architecture, workflows, capabilities, and controls.
Optimisation
Measure real value creation and achieve sustainable, continuous improvement.
Maintenance
Securing long-term performance through continuous and predictive monitoring
Where does the momentum come from?
Business case definition
Defining the business case links each project to a measurable business metric (ROI, cost reduction, reliability improvement) before committing resources.
Data architecture choices
Data architecture is the invisible foundation: if poorly designed, it limits all future scalability.
Scaling governance
Without dedicated governance, scaling remains a collection of pilots, never an industrialized transformation.
What are your pain points?
- Uncertain ROI
- unclear responsibilities
- fragmented experimentation
Where should we focus our efforts?
- Portfolio prioritization
- Capability mapping
- Governance design
- Vendor evaluation
What are our tools?
The delivery model is built around a concrete set of platforms, operational signals, and transformation capabilities selected to address the specific realities of the mission.
with a financial, operational and/or strategic benefit
- More relevant investment decisions
- faster alignment
- reduced program risk.
Think clearly before acting quickly: clarity of vision is the first foundation of any transformation journey.
Data maturity determines the success of every use case: without reliable and available data, no model can deliver sustainable results.
Portfolio prioritization ranks each use case based on its business impact and feasibility, focusing efforts where value is most certain.