Products

Hawa Dawa’s approach was built on the premise that addressing the negative impacts of air pollution on public health and the environment requires ambient air quality data and data-driven insights to be seamlessly integrated into decision-making processes in matters of public health, transportation, freight and logistics management, city planning, energy consumption and more. The journey to clean air for all requires comprehensive information and data-based actions.

Prerequisites are:

Air Quality Networks with reliable data (quantifiable errors) to achieve increased spatial and temporal accuracy traceable to accepted standards (i.e. Directive 2008/50/EC).
An easy integration, combination, and contextualization of data (satellites, traffic, health, land-use & weather data) and analytics with Air Quality Management Plans (AQMPs).
An ecosystem of partners that allow straightforward handling of sensor network covering everything from setup, operation and gaining insights, so that less time is spent on technology handling and more time on, policy implementation and data-based behavioural recommendations.

These are the fundamentals that inspire Hawa Dawa’s product design philosophy down to the smallest details of its features. Hawa Dawa offers an all-in-one air quality platform consisting of:

SENSOR NETWORKS

Collection of environmental data based on state-of-the-art IoT sensor technology
Regulatory-grade, TÜV-proven accuracy of the measurement result
Remote and real-time data availability 24/7
High spatial and temporal resolution of data
Reliable data delivery and quality
Highly automated and fully managed network

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DASHBOARDS

All relevant data on your screen
Scalable set of features
Easy and clear management of air quality data from various sources
Convenient integration of addtional data points
Insights into interdependencies and key drivers
Effective and pro-active planning and implementation of air quality measures

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API PRODUCTS

Added value to your application users by integrating current, historic or predictive air quality information
Comprehensive data for all main pollutants created from a variety of input sources (satellite, IoT sensors, public measurements)
Smart API functions for implementation of interactive use-cases
State-of-the-art technology, containerized and secure backend
Continuous enhancement of data quality and coverage through AI

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REPORTING & DATA INTELLIGENCE

Understanding of trends, influences and changes of air quality
Transparency and enabling action
Various options available with regard to level of detail, reporting period, information and presentation format
Generation of a higher density informational picture by integrating other available data sources on air quality
Data correlation analytics for analysing root causes behind specific environmental situations and pollutant levels of certain data areas over time

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