Data-Driven Planning for Environmental Risk
Planning flood mitigation and infrastructure investments involves balancing environmental exposure, asset vulnerability, population impacts, and implementation constraints, all of which must be considered together. Disconnected analyses or static reports hinder decision-makers from confidently prioritising actions. This use case shows how multi-criteria analytics support structured, transparent flood risk planning by consolidating diverse data into a single framework.
Where It Breaks Down
Environmental planning teams responsible for flood risk planning and mitigation commonly face challenges such as:
Static reporting formats
Spreadsheet-based or static reports limit exploration of assumptions and trade-offs.
Fragmented decision inputs
Environmental, infrastructural, and socio-economic factors are often analysed separately, making a holistic assessment difficult.
Subjective prioritisation
Without a structured framework, prioritisation decisions may rely heavily on manual judgment rather than consistent criteria.
How We Elevate It
How ORTECH Powers This Use Case
ORTECH uses Alteryx and Tableau to turn complex risk factors into structured, data-driven planning insights. Instead of reviewing multiple spreadsheets or isolated reports, risk inputs are consolidated into a single analytical model that supports consistent, transparent prioritisation. This allows decisionmakers to evaluate options with clarity rather than relying solely on manual judgment.
What this means in practice:
- Multiple risk indicators are consolidated into one structured framework.
- Weightings and scoring logic can be adjusted without rebuilding the model.
- Locations or scenarios can be compared using consistent criteria.
- Interactive dashboards make it easy to explore trade-offs and impacts.
- Results remain traceable and explainable for governance and review.
Key Capabilities Delivered
Multi-criteria analytics framework
Integrates environmental, infrastructure, and impactrelated indicators into a single analytical model.
Scenario-based prioritisation
Enables comparison of planning options or locations across consistent evaluation criteria.
Configurable scoring and weighting
Supports flexible adjustment of decision assumptions without reengineering workflows.
Interactive decision dashboards
Provides visual, explorable views of prioritisation outcomes and contributing factors.
From Raw Data to Operational Insight
Your data inputs
- Environmental and hazardrelated indicators.
- Asset, infrastructure, and exposure datasets.
- Impact and planning reference information.
What ORTECH does
- Structures and normalises diverse datasets.
- Applies multi-criteria scoring and aggregation logic.
- Produces ranked and comparable prioritisation outputs.
- Publishes interactive dashboards for scenario exploration.
How does it work for you
- Clear, defensible prioritisation of planning options.
- Improved transparency into decision drivers.
- Faster evaluation of alternative scenarios.
- Stronger alignment across technical and non-technical stakeholders.
What It Delivers
Business Value & ROI
• Improve the quality and consistency of flood risk planning decisions.
• Reduce manual effort in evaluating complex, multi-factor inputs.
• Enable transparent and repeatable prioritisation processes.
• Support better-informed investment and mitigation planning.
