What Are Your Barriers to Digital Transformation?
Does your industrial data infrastructure scale and enable your organization to organize, clean, validate and assemble the data they need? Have you tried to manage this and struggled with data management? Are your industrial IoT (IIoT) applications failing to provide the expected value because the data feeds are not reliable or comprehensive enough? Have you integrated your operations data and implemented successful IoT proofs of concept, but found that they have not progressed beyond the pilot stage? Or are they unable to meet return on investment (ROI) requirements to justify spreading across the enterprise?
Meeting the Special Needs of Industrial
The data management requirements of an industrial operation are not the same as a bank or insurance company. Hitachi provides the tools that make the job of correlating operational technology (OT) and IT data easier. For example, OT data is high-velocity time-series and event information that many times lacks the detailed descriptors and features needed to leverage it outside of operations. Business IT data comes across in batches or transaction records with different metadata descriptors. Industrial DataOps automates the process of abstracting, tagging and rationalizing IT and OT data. It organizes the data in your data lake or data warehouse so it is usable for analysis and building AI and machine learning (ML) solutions. Data pipelines are established, and multiple transformations and inferences are calculated and orchestrated for you as part of the workflow. Industrial process engineers can work with data scientists, analysts, and applications consultants to unlock the combined value and make significant operations improvements.
The Tools To Enable Your Digital Enterprise
As part of Hitachi’s enterprise IoT platform including Hitachi’s Lumada solutions for digital innovation, the Lumada Industrial DataOps portfolio offers a comprehensive and sustainable platform for your operations data management and AI/ML application delivery needs. It provides the tools that power the data fabric for an industrial organization to reduce costs, supplement organizational knowledge and worker capability, and help to create new digital products and solutions to grow your operational effectiveness. Built on the solid core of Hitachi’s Lumada DataOps, it adds industrial features needed by operations data teams.
Value for Every Data User
- Connect IT-OT: Leverage Hitachi’s data and industrial operations expertise to onboard OT data from any industrial system and combine with IT data from edge to cloud.
- Reliable prediction: Enable better predictions with reliable data feeds.
- Enable operations applications: Use packaged and proven IIoT software to accelerate analytics applications deployment.
Industrial DataOps Example for Smart Grid Data Management and Analytics
Say, for example, that you are a major utility wanting to blend and integrate data from smart meters and enterprise resource planning (ERP) sources to get better insights for operations, marketing, and services. Your data is in multiple formats, across several owners and data stores. Data available includes historical records, smart meter data, tariff, usage, billing, demographic, geographic information system (GIS) mapping, weather, and grid asset data. You may want to:
- Implement a time-series and geolocation data self-service approach for business planning.
- Provide customer 360-degree views of insights from data.
- Build predictive analytics to alert team members to maintenance optimization opportunities.
Industrial DataOps enables data integration, blending, and cataloging IT and OT data. Data is tagged with metadata, reformatted, enriched, and published for wider consumption: for example, by downstream AI or ML models that predict remaining useful life, process anomalies, and so forth.
Potential benefits include:
- Productivity through data pipeline automation.
- Faster production deployment.
- Data quality improvements.