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AVEVA Advanced Analytics

Gain predictive and prescriptive insights to enhance production, quality, and efficiency from an industrial cloud platform.

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Overview

AVEVA™ Advanced Analytics transforms operational data into actionable insights to enhance production processes and asset performance. Utilizing artificial intelligence, it boosts process efficiency and supports sustainability goals by integrating real-time predictions with prescriptive insights from a single cloud platform.

By consolidating data from various sources, this solution breaks down information silos using cloud-based visualization and analytics, ensuring better-informed decision-making to drive efficiency, sustainability, and competitiveness. Designed as a no-code platform, it ensures easy deployment and scalability, providing rapid return on investment.

Benefits

  • Predict asset behavior: Optimize equipment performance and improve workflows by identifying patterns and making informed predictions.
  • No-code AI solution: Employ pre-built wizards, templates, and models for easy adoption and swift deployment.
  • Rapid ROI: Integrated data services with enterprise-wide accessibility accelerate analytics and ensure scalable AI use cases.

The platform includes features like predicting process outcomes and asset behavior using machine learning at a large scale, with a flexible cloud architecture that supports real-time decision-making to find optimal conditions for operations. It offers an AI-driven no-code environment for model creation, analytics execution, and result visualization, aided by nearly 200 pre-packaged reports.

AVEVA Advanced Analytics prescribes system-generated recommendations for improving sustainability, throughput, and quality, providing real-time alerts for deviations to allow course corrections during production. It also ensures secure data sharing, facilitating connectivity and digital transformation by allowing aggregated data to be securely accessed, analyzed, and shared.

The solution has proven benefits as seen in various case studies. Companies like Coromandel and a pet food manufacturer have experienced significant reductions in downtime and testing time, respectively, while Nestle and Acciona achieved material use and energy consumption reductions. Furthermore, other case studies highlight significant improvements in performance, energy efficiency, and cost reductions across different industries.

Meta

Category
Scientific Data Infrastructure
Field(s)
Scientific IT & IntegrationManufacturing & Bioprocessing
Target user(s)
IT / Systems Admin
Tag(s)
Quality & Compliance ManagementAI