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From Data to Dollars: A Focused Pilot to Prove Predictive Maintenance ROI

You know predictive maintenance can save millions, but convincing stakeholders is a major hurdle. The significant upfront capital investment in hardware, software, and specialized teams creates a high-stakes guessing game for forecasting ROI. Without a clear, data-backed business case, securing the necessary budget feels like an uphill battle, leaving valuable opportunities for improvement locked away.

This playbook outlines a cost-effective pilot program designed to deliver a clear, undeniable ROI for your analytics initiatives. Instead of a massive, high-risk overhaul, we leverage your *existing* AVEVA PI System. By connecting it to a powerful time-series analytics platform, we empower your own subject matter experts to rapidly analyze data from 1-2 critical assets. This targeted approach minimizes new spending and quickly uncovers actionable insights into failure patterns, building a rock-solid business case for future investment in just days.

Expected Outcomes

  • A data-driven business case for a wider predictive maintenance rollout.
  • Identification of at least one significant failure pattern on a critical asset.
  • Quantified potential savings from avoiding unplanned downtime.
  • Empowered subject matter experts capable of performing their own analysis.
  • Demonstrated value to stakeholders with minimal upfront capital expenditure.

Core Tools in This Stack

Seeq

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Seeq is an advanced analytics platform for time-series process manufacturing data, enabling engineers and scientists to rapidly investigate, collaborate on, and share insights to improve production and business outcomes.

Key Features
  • Seeq Workbench
  • Seeq Organizer
  • Seeq Data Lab
  • Broad Data Connectivity
  • Asset Hierarchy Integration
  • Machine Learning Integration
  • Collaboration Tools
Ideal For

Company Size: Medium, Large

Industries: Technology & Software, Other

Pricing

Model: Subscription, Quote-based

Tier: Enterprise

Ease of Use

Medium

AVEVA PI System

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The AVEVA PI System is an enterprise-level data infrastructure for collecting, storing, contextualizing, and visualizing real-time operational data from various industrial sources to drive business insights and operational excellence.

Key Features
  • High-fidelity, real-time data collection from a wide range of industrial sources via PI Connectors and Interfaces.
  • Asset Framework (AF) for creating rich data models, contextualizing time-series data with metadata, and building asset hierarchies.
  • Long-term, high-compression data archiving for efficient storage of decades of operational data.
  • PI Vision for intuitive, self-service visualization, dashboards, and operational data analysis.
  • Robust event and notification engine (Event Frames) to capture and analyze process excursions and critical events.
  • Extensive integration capabilities with business systems (ERP, MES) and advanced analytics platforms via a suite of developer tools and APIs.
  • Designed for high availability and scalability to support mission-critical operations from a single facility to an entire enterprise.
Ideal For

Company Size: Medium, Large

Industries: Technology & Software, Other

Pricing

Model: Quote-based, Subscription

Tier: Enterprise

Ease of Use

Difficult

The Workflow

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Integration Logic

  • PI Asset-Frame Connector

    The PI Asset-Frame Connector facilitates a one-way data flow from the AVEVA PI System to Seeq. Seeq acts as a client, initiating a connection to the PI Asset Framework (AF) Server using the PI AF SDK. Once connected, Seeq indexes the AF hierarchy, including elements, attributes, and their associated PI Points. When a user requests data in Seeq Workbench, the connector queries the PI Data Archive for the raw time-series values corresponding to the selected asset attributes. This data is then streamed to Seeq for analysis. The connection is read-only; no data is written back to the PI System.

Build Your ROI-Backed Business Case

Download this playbook to launch a focused pilot that proves value and secures stakeholder investment.