OSIsoft, now part of AVEVA, is transforming how industrial organizations manage real-time operational data. This OSIsoft digital transformation focuses on extending its core PI System capabilities to modern cloud, edge, and integrated environments. The company specifically moves its industrial data platform to cloud-native architectures and enhances data collection at the operational edge.
This transformation creates critical dependencies on robust data pipelines, secure cloud infrastructure, and seamless system integrations. Challenges arise from ensuring data consistency across hybrid environments and maintaining system performance with increased data volumes and diverse sources. This page analyzes specific digital transformation initiatives and the operational challenges they introduce.
OSIsoft Snapshot
Headquarters: San Leandro, California, USA
Number of employees: 1,400 employees
Public or private: Private (Acquired by Public Company AVEVA)
Business model: B2B
Website: http://www.osisoft.com
OSIsoft ICP and Buying Roles
- OSIsoft sells to industrial companies managing complex operational environments with extensive real-time data needs.
Who drives buying decisions
- Chief Digital Officer → Leads overall industrial digitalization strategy.
- Head of Operations → Manages operational efficiency and performance initiatives.
- VP of IT/OT Convergence → Integrates information technology and operational technology systems.
- Plant Manager → Oversees site-specific data collection and system reliability.
Key Digital Transformation Initiatives at OSIsoft (At a Glance)
- Expanding PI System into cloud-native data platforms.
- Deploying Edge Data Store for localized data capture.
- Unifying operational data with enterprise IT applications.
- Integrating PI System data with advanced analytics and AI/ML tools.
- Modernizing operational data visualization platforms to PI Vision.
Where OSIsoft’s Digital Transformation Creates Sales Opportunities
| Vendor Type | Where to Sell (DT Initiative + Challenge) | Buyer / Owner | Solution Approach |
|---|---|---|---|
| Cloud Data Integration Platforms | Cloud-Native Data Management: time-series data fails to synchronize between on-premises PI Systems and cloud storage. | Head of Data Engineering, VP of IT | Route operational data to cloud-native services without data loss. |
| Cloud-Native Data Management: access controls for shared data do not align with corporate security policies. | Chief Information Security Officer | Validate user identities and permissions across hybrid data environments. | |
| Cross-System Operational Data Integration: data schema mismatches occur when integrating PI System with enterprise ERP. | Head of IT, Head of Operations | Standardize data formats for industrial data flowing to business systems. | |
| Edge Computing Orchestration | Edge Data Processing & Collection: device connectivity issues cause data gaps from remote assets. | Head of Operations, Plant Manager | Collect real-time data from industrial sensors without network disruptions. |
| Edge Data Processing & Collection: inconsistent data formats appear from diverse edge devices. | Head of Data Engineering | Enforce uniform data structures from varied industrial assets. | |
| Industrial AI/ML Platforms | Real-time Analytics and AI/ML Enablement: predictive models generate incorrect outputs due to data quality issues. | Head of Data Science, Head of R&D | Validate input data for machine learning models before processing. |
| Real-time Analytics and AI/ML Enablement: AI-generated insights do not propagate to operational dashboards. | Head of Data Science, Operations Manager | Route analytical results to existing operational visualization tools. | |
| Operational Cybersecurity Solutions | Cross-System Operational Data Integration: unauthorized access attempts occur across integrated IT/OT networks. | Chief Information Security Officer | Detect abnormal access patterns within industrial control systems. |
| Data Quality and Observability Tools | Cloud-Native Data Management: missing data fields appear in cloud-replicated operational datasets. | Head of Data Engineering | Monitor completeness of operational data streams in cloud environments. |
| Modernizing Operational Visualization: dashboards display stale data due to delayed updates from source systems. | Operations Manager, Head of IT | Detect latency in data flow to operational visualization platforms. |
Identify when companies like OSIsoft are in-market for your solutions.
Spot buying signals, find the right prospects, enrich your data, and reach out with relevant messaging at the right time.
What makes this OSIsoft’s digital transformation unique
The OSIsoft digital transformation uniquely focuses on unifying fragmented operational technology (OT) data with broader information technology (IT) systems. This strategy depends heavily on creating a seamless data flow from the industrial edge to enterprise cloud applications. The complexity arises from handling massive volumes of real-time, time-series data from diverse industrial assets across various sectors. Their approach prioritizes data integrity and accessibility to drive "Performance Intelligence" across the industrial lifecycle.
OSIsoft’s Digital Transformation: Operational Breakdown
DT Initiative 1: Expanding PI System into cloud-native data platforms
What the company is doing
OSIsoft, now AVEVA, is moving its established PI System data management capabilities to cloud-native environments like AVEVA Data Hub (formerly OSIsoft Cloud Services). This action makes operational data accessible for broader analysis and external sharing. The company aims to leverage cloud scalability for its real-time data infrastructure.
Who owns this
- Head of Cloud Operations
- VP of IT Architecture
- Head of Data Engineering
Where It Fails
- Time-series data fails to synchronize between on-premises PI Servers and AVEVA Data Hub.
- Access requests from external partners do not comply with existing data sharing policies.
- Historical data migration to cloud storage results in missing or corrupted data points.
- Cloud-based data streams do not maintain data fidelity for regulatory reporting.
Talk track
Noticed OSIsoft is expanding its PI System to cloud-native platforms. Been looking at how some industrial teams are preventing data synchronization failures between on-premises and cloud systems, happy to share what we’re seeing.
DT Initiative 2: Deploying Edge Data Processing & Collection
What the company is doing
OSIsoft extends its data collection capabilities by implementing Edge Data Store solutions closer to physical industrial assets. This deployment captures real-time data from remote sensors and devices with intermittent connectivity. The company uses these edge deployments to process data locally before sending it to central systems.
Who owns this
- Head of Field Operations
- Director of OT Infrastructure
- Plant Manager
Where It Fails
- Edge devices lose connectivity, resulting in data gaps from remote assets.
- Data collected at the edge does not conform to centralized data models.
- Local data processing at the edge fails to filter out noisy sensor readings.
- Security configurations for edge devices do not align with central cybersecurity standards.
Talk track
Looks like OSIsoft is deploying Edge Data Store for localized data collection. Been seeing how some organizations ensure consistent data formats from diverse edge devices before central ingestion, can share what’s working if useful.
DT Initiative 3: Cross-System Operational Data Integration
What the company is doing
OSIsoft integrates its PI System operational data with a wider range of enterprise IT applications and AVEVA's software portfolio. This action aims to unify real-time industrial data with business systems like ERP for comprehensive insights. The company is building bridges between operational technology and information technology layers.
Who owns this
- VP of IT/OT Convergence
- Enterprise Architect
- Head of Digital Transformation
Where It Fails
- Data from PI System does not map correctly to fields in the ERP system.
- Real-time alarms from industrial assets do not trigger corresponding workflows in IT service management.
- Integration APIs fail to transfer large volumes of historical operational data to business intelligence platforms.
- Security policies for OT data access conflict with IT network policies.
Talk track
Saw OSIsoft is integrating its operational data across IT and OT systems. Been looking at how some companies validate data schema transformations between industrial and enterprise applications, happy to share what we’re seeing.
DT Initiative 4: Modernizing Operational Visualization (PI Vision)
What the company is doing
OSIsoft replaces legacy operational display tools like PI ProcessBook with the web-based PI Vision platform. This initiative provides secure, modern visualization for real-time operational data across devices. The company enhances user experience and strengthens cybersecurity for operational dashboards.
Who owns this
- Head of Operational Technology
- Operations Manager
- Head of Cybersecurity
Where It Fails
- Operational dashboards in PI Vision display incorrect asset status due to data latency.
- Users with legitimate access cannot view certain PI Vision displays due to permission misconfigurations.
- Custom displays built in PI ProcessBook do not migrate successfully to PI Vision.
- Performance bottlenecks occur in PI Vision when many users access complex, data-rich displays simultaneously.
Talk track
Noticed OSIsoft is modernizing operational visualization with PI Vision deployments. Been looking at how some industrial teams prevent data latency from affecting real-time dashboard accuracy, can share what’s working if useful.
Who Should Target OSIsoft Right Now
This account is relevant for:
- Industrial Cloud Migration Platforms
- OT/IT Integration Solutions
- Edge Data Management Platforms
- Industrial Data Quality Tools
- Operational Cybersecurity Platforms
- AI/ML Model Validation and Observability Tools
Not a fit for:
- Generic Marketing Automation Software
- Basic HR Management Systems
- Consumer-facing E-commerce Platforms
- Standalone Financial Accounting Tools
When OSIsoft Is Worth Prioritizing
Prioritize if:
- You sell solutions that prevent data synchronization failures between on-premises and cloud industrial data platforms.
- You sell platforms that ensure consistent data formatting from diverse edge devices.
- You sell tools for validating data schema transformations between industrial and enterprise applications.
- You sell solutions that detect and prevent unauthorized access to integrated IT/OT networks.
- You sell platforms that monitor data quality and completeness for real-time operational reporting.
- You sell solutions that prevent data latency from affecting operational dashboard accuracy.
Deprioritize if:
- Your solution does not address any of the breakdowns above.
- Your product is limited to basic data storage with no integration capabilities.
- Your offering is not built for complex industrial environments or real-time data volumes.
Who Can Sell to OSIsoft Right Now
Cloud Data Integration Platforms
Fivetran - This company automates data movement from various sources into data warehouses and lakes.
Why they are relevant: Time-series data fails to synchronize between on-premises PI Systems and cloud storage. Fivetran can automatically extract and load operational data from PI System components into cloud data platforms, ensuring consistent data availability for analysis.
Boomi - This company provides a cloud-native integration platform as a service (iPaaS) for connecting applications and data.
Why they are relevant: Data from PI System does not map correctly to fields in the ERP system. Boomi can build and manage complex data flows, transforming industrial data into the correct schema before it reaches enterprise IT applications.
Edge Computing Orchestration Platforms
AWS IoT Greengrass - This company extends AWS cloud capabilities to edge devices, enabling local data processing and machine learning.
Why they are relevant: Edge devices lose connectivity, resulting in data gaps from remote assets. AWS IoT Greengrass can ensure local data collection and processing on industrial equipment, maintaining data integrity even with intermittent network access.
Ignition by Inductive Automation - This company offers an industrial application platform for HMI, SCADA, MES, and IIoT solutions.
Why they are relevant: Inconsistent data formats appear from diverse edge devices. Ignition can standardize data acquisition from various industrial protocols at the edge, ensuring uniform data structures before upstream transmission.
Industrial Data Quality and Observability
Monte Carlo - This company offers a data observability platform that helps data teams prevent data downtime.
Why they are relevant: Missing data fields appear in cloud-replicated operational datasets. Monte Carlo can continuously monitor the integrity of industrial data streams as they move to cloud platforms, detecting and alerting on any data anomalies or gaps.
Datadog - This company provides a monitoring and security platform for cloud applications and infrastructure.
Why they are relevant: Operational dashboards in PI Vision display incorrect asset status due to data latency. Datadog can observe the performance of data pipelines feeding PI Vision, identifying latency issues that impact the real-time accuracy of operational displays.
OT Cybersecurity Platforms
Claroty - This company delivers industrial cybersecurity solutions for protecting operational technology (OT) and industrial control systems (ICS).
Why they are relevant: Unauthorized access attempts occur across integrated IT/OT networks. Claroty can detect and alert on suspicious activities within OSIsoft's OT environments, securing the critical data infrastructure from cyber threats.
Dragos - This company specializes in industrial cybersecurity, providing threat detection and response for industrial control systems.
Why they are relevant: Security policies for OT data access conflict with IT network policies. Dragos can assess and enforce consistent security policies across the converged IT/OT networks, preventing unauthorized data exfiltration or manipulation.
Final Take
OSIsoft, now part of AVEVA, scales its PI System capabilities to the industrial cloud and edge, centralizing real-time operational data. Breakdowns are visible in data synchronization across hybrid environments, consistent data quality from diverse sources, and seamless integration with enterprise systems. This account is a strong fit for solutions that validate industrial data integrity, orchestrate complex IT/OT integrations, and ensure robust cybersecurity for critical operational data flows.
Identify buying signals from digital transformation at your target companies and find those already in-market.
Find the right contacts and use tailored messages to reach out with context.