APERIO makes smart cities smarter


Infrastructure planning and management, including smart cities, transportation, buildings, etc. require effective and efficient data to ensure real time visibility and flexibility. As developing countries install new “green” infrastructure and/or existing cities upgrade ageing infrastructure, these systems will increasingly collect and monitor data for better insight and decision making. By digitally connecting people, processes, and technology, operators and city officials can make better decisions faster, accelerate a crisis response when needed, and minimize community risk in all events. APERIO DataWise helps customer by:


Save the cost of poor data quality, as a % of revenue


Total impact of poor data quality in U.S.


Eliminate cyber attacks and data threats


Number of days to identify and contain a breach

APERIO Use Cases in the Infrastructure Industry

Below are some sample use cases where customers are employing APERIO DataWise in the infrastructure and water-wastewater applications.

Equipment Modeling

  • Real time asset modeling to reduce unplanned downtime and optimize OEE
  • Protect against replay attacks & other threats

Process State

  • Optimize the process state: energy mix, water usage, wastewater capacity & planning, and sitewide equipment capacity utilization

Workforce Enablement

  • Maximize operator efficiency through improved visibility, knowledge transfer, and safety assurance


  • Reduce connectivity and calibration errors
  • Prevent sensor fouling and/or tampering

Real-Time Monitoring

  • Monitor energy distribution systems, water delivery & sewer systems, carbon mapping, smart transport, and citywide environmental sensors

Data Security

  • Keep systems and data secure, including public & private sector sharing
  • Provide transparency across sites and facilities

Deploy superior data integrity at scale

Automatically validate operational data at scale to improve data accuracy, security, and value, and allowing for smarter business decisions based on real-time, trusted data.

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