Build an Analytics Anywhere Strategy today with the IIoT: How to Achieve Rapid Time to Value and Lower Risk of Failure
Agenda Digital Transformation and the IIoT Understanding Operational Architecture The Role of Edge and Cloud in Industrial Analytics A Use Case and User Persona Based Approach to Analytics Actionable Recommendations
The continuous application availability market leader Corporate headquarters Maynard, Massachusetts USA Systems installed 20,000+ worldwide Global presence ~500 people Americas EMEA APJ Protecting lives, assets and revenues since 1980 Over 40 hardware and software availability patents Major market segments Industrial automation, Building security & management, Financial services, Public safety, Healthcare Key Industrial Automation and technology partnerships 2018 Stratus Technologies. All Rights Reserved. 3
LNS is a membership based research and advisory firm. We enable Digital Transformation for EHS, Quality, and Industrial Operations. Our differentiators: About LNS Research Experienced analysts Primary research Thought leadership frameworks
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Research Demographics: Metrics that Matter Survey 500+ Respondents
Digital Transformation and the IIoT
Poll question 1 Has your company started an IIoT initiative (i.e. smart manufacturing, Industrie 4.0?) 2018 Stratus Technologies. All Rights Reserved. 8
IIoT Initiative Adoption Has your company started an IIoT initiative (i.e. smart manufacturing, Industry 4.0, etc.) No 36 % Yes 40 % Planned within one year 24 % 0 % 10 % 20 % 30 % 40 % 50 % 60 % 70 % 80 % 90 % 100 % % Total Respondents
Digital Transformation Framework
Understanding Operational Architecture
What is Operational Architecture? The LNS Model of Operational Architecture builds on and extends the Enterprise Architecture discipline to include Operational Technology across the value chain. Operational Architecture Level 1
How to Develop the Current and Future State Architecture Operational Architecture should support and be tied to strategic objectives of the company; often put in the context of: Competitive Advantage Operational Objectives Financial Objectives
How to Develop the Current and Future State Architecture There are multiple dimensions to the architecture 1 version for People (includes org structure and sites) 1 version for Process Flow 1 Technology version for IT&OT Applications and Hardware 1 Technology version for Network Architecture, Cybersecurity, and Data Analytics Architecture For each version, there should be drill downs to 3 or 4 levels of increasingly granularity
Operational Architecture and Industrial Analytics Strategy There are two main areas of Industrial Analytics that are defined in the architecture: Operational Improvement-> Plant Design, Process Design, Automation, Reliability, CI Teams Operational Intelligence-> Operations and Asset Performance
Poll question 2 What are the top IIoT use cases your company is pursuing? 2018 Stratus Technologies. All Rights Reserved. 16
The Role of Edge and Cloud in Industrial Analytics
Use Cases should drive Data Architecture When building the data analytics architecture, the following should be considered: Data Location: Edge (Device/Asset), On Premise (Plant Data Center, Enterprise Data Center), Cloud Data Speed Decision Time and Bandwidth Constraints: Streaming Protocols; Historical - (pointers or replicated) Data Type: Structured, Semi-Structured, Unstructured Analytics Model: Statistical, 1 st Principles, AI/ML
Use Cases should drive Data Architecture Edge Analytics Use Cases: Sub-second decision making, large volumes of streaming data with bandwidth constraints, examples: Advanced process control Model predictive control Quality inspections Device failure
Use Cases should drive Data Architecture Edge to On-Premise Analytics Use Cases: Seconds or longer decision making, sufficient bandwidth, supporting existing on-premise applications, data type limitations, data sharing limitations, examples: Production performance dashboards Reliability centered maintenance
Use Cases should drive Data Architecture Edge to Cloud Analytics Use Cases: Seconds or longer decision making, sufficient bandwidth, supporting cloud applications, Big Data requirements, data sharing requirements, examples: Asset performance benchmarking Fleet/plant network visibility and benchmarking
Use Cases should drive Data Architecture Edge to On-Premise and Edge to Cloud Analytics Use Cases: Seconds or longer decision making, sufficient bandwidth, supporting cloud and on-premise applications, Big Data requirements, data sharing requirements, examples: Profit optimization Digital Twin
Poll question 3 What role do you see analytics playing in your decision making process? Instant e.g. advanced control, quality inspections, device failures Rapid e.g. production performance dashboards, reliability centered maintenance Periodic e.g. asset performance or fleet/plant benchmarking Continuous evolution e.g. profit optimization, digital twin 2018 Stratus Technologies. All Rights Reserved. 23
Poll question 3 What role do you see analytics playing in your decision making process? 2018 Stratus Technologies. All Rights Reserved. 24
Multiple requirements at the edge Edge Enterprise Cloud 2018 Stratus Technologies. All Rights Reserved. 25
Data criticality increases with edge automation Data Criticality Invisible Intelligent Machines can adjust automatically Informed Insightful Operators can plan and adjust Machines can react Examples: Real time platforms Example: Driverless Cars People-less factories Operators can react Examples: Analytics Examples: SCADA / HISTORIAN Edge Based Automation 2018 Stratus Technologies. All Rights Reserved. 26
Example: What if a crane becomes a thing Today: 10 to 12 Industrial Computers Operating 24 by 7 Driven by a person Tomorrow: 1or 2 Virtualized Systems Operating 24 by 7 Driven by nobody 2018 Stratus Technologies. All Rights Reserved. 27
Edge protection is the key How can applications work together and scale? Remote Serviceability How can we reduce IT burden and empower OT? Application Health Protected Edge Security How do we ensure there is no unplanned downtime? System Health How can we ensure the data is not tampered with and has not been stolen? 2018 Stratus Technologies. All Rights Reserved. 28
What does future edge infrastructure need to look like? Devices Gateways Edge servers Datacenter Simplification Stratus perspective: Future OT resources will require simple, zero touch solutions that can be operated remotely. Edge Specific Offerings Stratus perspective: The diverse requirements of IoT will require new types of Edge infrastructure. 1 Converged, edge ready form factors 2 Remote monitoring and management 3 Enables best of breed software applications as services 2018 Stratus Technologies. All Rights Reserved. 29
Actionable Recommendations
Actionable Recommendations Institute a formal Digital Transformation framework. Tie the Strategic Objectives of the organization to your Operational Architecture. Industrial Analytics Use Cases should drive the Data Architecture Architecture should be Edge and Cloud, not, Edge vs. Cloud. Be sure to consider data location, decision time, bandwidth constraints, data type, and analytics type. Don t be scared to start your own initiatives small, as pilots, with the right platform to scale quickly
Next steps Learn more Video: Future Proof Your Automation for IIoT and Edge Computing Press: Stratus Unveils Edge Computing Strategy On-Demand Webinar: Living on the Edge: New techniques for protecting data in the Era of IIoT Case Study: Columbia Pipeline Talk with an expert For more information on Stratus, to schedule a live demo, or request a quote, contact Greg Paden at Greg.Paden@stratus.com, (978) 461-7579 Connect, follow, and consume Stratus Website: www.stratus.com Stratus Blog: www.stratus.com/stratus-blog/ Stratus LinkedIn: www.linkedin.com/company/stratus-technologies Stratus Twitter: @StratusAlwaysOn Stratus YouTube: https://www.youtube.com/user/stratustech/videos 2018 Stratus Technologies. All Rights Reserved. 32
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