Data-Driven Decision Making in Water Utilities

Course Category : Project Management

A professional programme enabling strategic decision-making in water utilities through advanced analytics and operational data for efficiency and sustainability.
5 Days | Intermediate to Advanced Level

Introduction

In an era of smart resource management, water utilities must shift from intuition-based decisions to data-driven models to ensure operational sustainability and efficiency. Organisational success depends on the ability to collect, analyse, and transform data into actionable insights that support strategic planning and risk management.
This course provides an integrated framework for data-driven decision-making in water utilities, covering data sources, analytics techniques, predictive models, and operational integration to enhance institutional performance and service quality.

Targeted Audience

Executives in the water sector
Water and wastewater utility managers
Digital transformation leaders
Data analysts and system engineers
Strategic planning managers
Operations and maintenance teams
Performance and quality officers

Targeted Skills

Operational data analysis in water utilities
KPI dashboard design
Predictive analytics application
Evidence-based decision-making
Data-driven operational optimisation
Data integration in strategic planning

Expected Outcomes

Develop a comprehensive understanding of data-driven decision-making.
Analyse and evaluate data sources within water utilities.
Design effective KPIs for operational decision support.
Apply descriptive and predictive analytics techniques.
Improve operational efficiency using data insights.
Support strategic decisions through advanced analytical models.

Training Topics Index

Concept of data-driven decision-making
Traditional vs analytical decision models
Role of data in water utilities
Types of data (operational, financial, environmental)
Data-related challenges

Data sources in water utilities
Data integration techniques
Data quality standards
Data governance frameworks
Data security and privacy

Performance descriptive analysis
Trend and pattern analysis
Business intelligence tools
Interpretation of operational data
Daily decision support

Predictive models in water utilities
Demand and consumption analysis
Risk management using data
Future planning support
Decision-making under uncertainty

Dashboard development
Network efficiency optimisation
Non-Revenue Water (NRW) reduction
Emergency decision-making
Data-driven digital transformation

Course Features

Updated and Interactive Content
Hypothetical Examples and Case Studies
Pre- and Post-assessments to Measure Impact
Verified Certificate with a QR Verification Code

Data-Driven Decision Making in Water Utilities