SuSTAINABILITY AND ESG

The Work

ESG and sustainability reporting have faced challenges in establishing normalization and standardization; even within companies, different units struggle to maintain consistent practices. Carbon capture and ESG reporting require data acquisition systems and proper data management tools for reliable, resilient, and transparent reporting.

Case Study

SUSTAINABILITY • ESG • CYBERSECURITY

The Challenge

Data integrity and risk mitigation of the data acquisition system are crucial for transparent and resilient reporting of ESG activities, such as carbon capture. Data acquisition and validation costs represent upwards of 80% of the relevant costs of these decision systems.

The Solution

By implementing proper data validation and management, users can save up to 60% of the cost while establishing standardized ESG reporting and data capture practices within their organizations.

The Results

60%+ reduction in data validation and wrangling costs

35% increase in operational effeciency

95%+ increase in algorithmic resilience for maintenance and operations

Experience the benefits for yourself.

ENTERPRISE DECISION SYSTEMS

A solution for improving the reliability and resiliency of financial services decision systems through internal risk mitigation technology.

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WATER TREATMENT FACILITY

This case study highlights how validating data authenticity and incorporating human-centered data labeling in water treatment facilities enhances cyber risk mitigation and algorithmic reliability for smart cities' critical infrastructure.

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US MILITARY SMART BASES

Learn how military smart bases leverage AI-driven data integrity solutions to validate SCADA/ICS systems to improve operational efficiency and mitigate cyber risks within the U.S. DoD.

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GEOSPATIAL INTELLIGENCE DECISION SYSTEMS

Explore how data integrity cybersecurity measures enhance geospatial intelligence reliability and protect decision systems from malicious data manipulation, saving lives and resources.

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SIEMENS IoT PARTNER FOR DUBAI EXPO 2020

Learn how Pandata Tech, a finalist in the Siemens Future of Energy Hackathon for Expo 2020, collaborated with Siemens to provide a smart city energy solution to enhance data validation, operational efficiency, and algorithmic resilience.

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CLOSED LOOP GEOTHERMAL ENERGY FACILITY

A collaboration with the US Air Force's Rapid Sustainment Office (RSO) to enhance data validation for a closed-loop geothermal energy facility at a Marine Corps Logistics Base, looking to improve decision-making and reduce data validation costs.

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LEADING UPSTREAM OIL AND GAS

Pandata Tech utilized the DQM software to validate crucial data in the oil and gas industry streamlining from SCADA and ICS systems, resulting in a decrease in algorithm deployment time and an increase in operational efficiency.

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GLOBAL SEMICONDUCTOR MANUFACTURER

Pandata Tech provided a DQM data validation solution for a multi-national semiconductor manufacturing customer to improve the reliability of their predictive maintenance efforts.

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US MILITARY INTRA-SITE POWER GENERATION

Learn how Pandata Tech provided a cyber-resilient approach for ensuring reliable intra-site power for critical infrastructure in US military bases, functioning like small cities.

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GLOBAL SUPPLY CHAIN AND WAREHOUSE OPTIMIZATION

Learn how Pandata Tech's Data Quality Method (DQM) solution helped a multinational corporation with a global network of warehouses improve their data management and enhance warehouse operations.

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SUSTAINABILITY AND ESG

This case study illustrates how implementing proper data validation and management for ESG and sustainability reporting can reduce costs and improve operational efficiency.

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