Seeing the Unseen. Acting with Conviction

Flood management plans often involve complex schemes that require sophisticated computing systems to evaluate the different schemes upfront at desktop level and narrow down to optimal and feasible plans for implementation at ground. This includes monitoring and evaluating the water systems and linking the modelling software in real-time to get current and future trends. This involves an ocean of data points and data streams where data is everywhere but insights are not.

This is where Decision Support Systems (DSS) comes in handy to handle the data in an integrated way, turning them into “what if” insights for stakeholders to choose their "decisions" with conviction.

DSS has the below primary characteristics:

• It helps decision-makers at different levels of the organization;
• It is flexible and responds quickly to current situation (real-time monitoring) as wells as predicts future situations (forecasting and warning);
• It provides "what if" scenarios to evaluate the current situations vs climate change adaptation and mitigation plans;
• It considers the specific requirements of the decision-makers;
• More importantly, now-a-days with the high computing powers, Artificial intelligence (AI)-Machine Learning (ML) concepts, it acquires knowledge from growing dataset, interactive and easy to use.