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XMPro Platform
XMPro Platform
  • What is XMPro?
  • Getting Started
    • Browser Requirements
    • Free Trial
    • End-To-End Use Case
  • Resources
    • What's New in 4.4
      • What's New in 4.3
      • What's New in 4.2
      • What's New in 4.1.13
      • What's New in 4.1
      • What's New in 4.0
    • Blueprints, Accelerators & Patterns
    • Integrations
    • Sizing Guideline
    • Platform Security
    • Icon Library
    • FAQs
      • Implementation FAQs
      • Configuration FAQs
      • Agent FAQs
      • General FAQs
      • External Content
        • Blogs
          • 2024
            • How to Build Multi-Agent Systems for Industry
            • Why Solving the Problem Doesn’t Solve the Problem: The Importance of Scalable Intelligent Operations
            • Content, Decision, and Hybrid: The Three Pillars of Multi-Agent Systems in Industry
            • Revolutionizing Manufacturing with AI and Generative AI: XMPro’s Intelligent Business Operations Sui
            • The Evolution of Skills: Lessons from Agriculture in the GenAI and MAGS Era
            • Part 1: From Railroads to AI: The Evolution of Game-Changing Utilities
            • Part2: The Future of Work: Harnessing Generative Agents in Manufacturing
            • Bridging Automation and Intelligence: XMPro’s Approach to Industrial Agent Management
            • XMPro APEX: Pioneering AgentOps for Industrial Multi Agent Generative Systems
            • Part 5 – Rules of Engagement: Establishing Governance for Multi-Agent Generative Systems
            • How to Achieve Scalable Predictive Maintenance for Industrial Operations
            • Understanding the Difference Between XMPro AI Assistant and AI Advisor
            • Part 3 – AI at the Core: LLMs and Data Pipelines for Industrial Multi-Agent Generative Systems
            • MAGS: The Killer App for Generative AI in Industrial Applications
            • The Importance of Pump Predictive Maintenance for Operational Efficiency
            • Progressing Through The Decision Intelligence Continuum With XMPro
            • The Value-First Approach to Industrial AI: Why MAGS Implementation Must Start with Business Outcomes
            • New Guide – The Ultimate Guide to Multi-Agent Generative Systems
            • The Ultimate Guide To Predictive Analytics
            • Part 4 – Pioneering Progress | Real-World Applications of Multi-Agent Generative Systems
            • Scaling Multi-Agent Systems with Data Pipelines: Solving Real-World Industrial Challenges
          • 2023
            • How to master Predictive Analytics using Composable Digital Twins
            • Accelerate Your AI Workflow: The 3 Key Business Advantages of XMPro Notebook
            • The Roadmap to Intelligent Digital Twins
            • What is edge computing, and how can digital twins utilize this technology?
            • THE TOP 5 USE CASES FOR COMPOSABLE DIGITAL TWINS IN RENEWABLES + HOW TO SUPERCHARGE RESULTS WITH AI
            • The Technology Behind Predictive Maintenance (PdM) : Hardware & Software
            • The Benefits of Using Digital Twins in Smart Manufacturing
            • XMPro I3C Intelligent Digital Twins Strategy Framework
            • The TOP 5 use cases for composable digital twins in mining – and how to use AI to supercharge result
            • The TOP 5 use cases for Composable Digital Twins in the Oil & Gas industry
            • Why Decision Intelligence with Digital Twins is “kinda like” DCS for Automation and Control
            • XMPro becomes an NVIDIA Cloud-Validated partner
            • From Reactive to Predictive : Introduction to Predictive Maintenance
            • Microsoft Azure Digital Twins : Everything You Need To Know
            • Unlocking Efficiency: The Right Time & Strategy to Launch Your Digital Twin for Enhanced Asset Manag
            • Revolutionize Your Supply Chain: How Digital Twins Can Boost Efficiency and Cut Costs
          • 2022
            • Create a Common Operating Picture of Your Operations with XMPro
            • 7 Trends for Industrial Digital Twins in 2022
            • How to Build a Digital Twin + 60 Use Cases By Industry
            • What are composable digital twins in the metaverse?
          • 2021
            • The Value of a Composable Digital Twin
          • 2020
            • Lean Digital Twin: Part 2
            • Digital Twin: Your Most Productive Remote Worker
            • From the Control Room to the Bedroom
            • Lean Digital Twin: Part 3
          • 2019
            • My Digital Twin: Digital Twin Applications for Real-time Operations (Like Me)
          • 2018
            • XMPro IoT Operational Capability Survey Results 2018
            • What is a Digital Business Platform and Why Should I Care?
            • [Robotic] Process Automation for IoT
            • 3 Patterns of Industrial IoT Use Cases
            • The CXO’s Guide to Digital Transformation – May The Five Forces Be With You
            • Is Security More Important Than Trustworthiness for Industrial IoT?
            • XMPro at bpmNEXT 2018: Watch The Presentation
          • 2017
            • The Top 5 Reasons to Invest in an IIoT Development Platform
            • IoT Business Solutions Start with Big Data & Create Business Outcomes
            • How AI Bots Bring Digital Twins to Life
          • 2016
            • How To Get Started With Industrial IoT
            • How To Overcome The Top 5 Challenges To Industrial IoT Adoption
            • What is an IoT Platform vs. an IoT Business Application Suite?
            • Industrial IoT: How To Get Started with Predictive Maintenance
            • 3 Ways The Internet of Things is Transforming Field Service
            • 7 Types of Industrial IoT Data Sources (And How To Use Them)
          • 2015
            • How Important Are Processes To The Internet Of Things?
            • Understanding the Value of Real Time KPI Management as Your Next Strategic Project
            • 6 Myths About Machine Learning
            • 10 Predictive Analytics Use Cases By Industry
            • What is a “Business Moment” in your business?
            • Does Operational Intelligence Make Business Intelligence Obsolete?
            • How To Reduce Operational Costs by 36% with Predictive Analytics
            • From Many, One – The Nature of Complex Event Processing
            • Herding Cats: What Enterprise Architects need to know about Business Process Management
          • 2014
            • Making Business Operations More Intelligent
          • 2013
            • Best Next Action Is The Next Big Thing For Intelligent Operations
            • The learns from two ‘Best in class’ organisations acquiring BPM technology
          • 2012
            • Why Intelligent Business Operations is Mobile, Social and Smart
            • Why Do You Want Intelligent Business Operations?
            • How big of a problem are ‘dark processes’?
            • Operational Risk: When You Stick Your Head In The Sand
            • The Difference Between Event-based And Workflow-based Processes
          • 2011
            • Is mobile BPM now essential to the business?
            • Stretch Socially Dynamic Processes To Fit Your Business
            • Social Listening – Get Control Of The Conversation
            • Operations Management – The Keys To KPIs
            • Benefits of BPM v 1.0
            • How to Prioritise Processes
          • 2010
            • The Business Drivers
            • Preserving Capability and Agility
            • Mobile BPM
        • Use Cases
          • Aging Pipe Predictive Maintenance in Water Utilities
          • Air Quality Monitoring For Agriculture
          • Alarm Management and Triage
          • Asset Condition Monitoring for Surface Processing Plants in the Mining Industry
          • Bogie Health Monitoring in the Rail Industry
          • Boiler Feed Water Pumps
          • CHPP Throughput Loss Monitoring
          • Casting Guidance
          • Conveyor Belt System Monitoring and Optimization in Automotive Manufacturing
          • Cooling Tower Fin Fan Monitoring
          • Cyclone/Slurry Pump Monitoring
          • Demand Planning to Reduce Stockholding in Stores
          • Demin Water Monitoring for Boiler Tube Corrosion
          • EV Battery Assembly Process Optimization for the Car Manufacturing Industry
          • Flood Prediction & Response in Water Utilities
          • Golden Batch For Culture Addition In The Dairy processing Industry.
          • Golden Batch Monitoring
          • Improve First Pass Yield (FPY)
          • Induced Draft (ID) Fan Monitoring
          • Long Conveyor Monitoring
          • Monitor Process Health to Reduce Cash-to-Cash Cycle
          • Monitor Storm Water Reservoirs For Flood Prevention
          • Monitor and Reduce Energy Consumption
          • Oil Well Maintenance Planning
          • Oil Well RTP Monitoring
          • Pipe Scaling Prediction for Roller Cooling
          • Precision Irrigation in Agriculture
          • Predict Heat Exchanger Fouling
          • Predictive Maintenance & Asset Health Monitoring For Haul Trucks In The Mining Industry
          • Predictive Maintenance For Mobile Assets Within The Mining Industry
          • Predictive Maintenance for Robotic Arms in the Automotive Industry
          • Predictive Maintenance for Wind Turbines
          • Pump Health Monitoring in Water Utilities
          • Pumping Station OEE
          • Real-time Balanced Business Scorecard (BBS)
          • Real-time Safety Monitoring
          • Short Term Inventory Planning
          • Strategic Performance & Safety Oversight for Global Mining Operations
          • Wheel and Track Wear Monitoring In The Rail Industry
          • Wind Turbine Performance Optimization
        • Youtube
          • 2024
            • Discover Gen AI Powered Operations With XMPro iBOS
            • Generative AI and Digital Twins in 2024 - XMPro Webinar
            • Go From Reactive To Predictive Operations In Water Utilities With XMPro iDTS
            • How to add Timestamps to Elements in XMPro App Designer
            • How to Build an AI Advisor for Industrial Operations Using XMPro
            • How XMPro Stream Hosts and Collections Enable Scalable, Real-Time Data Processing
            • Mind Blowing AI Agentic Operations For Industry With XMPro MAGS
            • The Ultimate Beginner's Guide To Predictive Analytics Podcast
            • XMPro's Flexible Deployment Options: Flexible Cloud & On-Premise Solutions For Industry
            • XMPro iBOS: The Only AI-Powered Suite for Scalable Intelligent Operations
          • 2023
            • 2023 XMPro Product Roadmap - Webinar
            • An Introduction To Intelligent Digital Twins - Webinar
            • Energy and Utilities Asset Optimisation through Digital Twin technology
            • Explore Model Governance using our MLflow Agent
            • Exploring XMPro Notebook and MLflow for Data Science and Model Governance
            • How Changing Properties For One Block Can Be Applied To All Blocks Within Same Style Group
            • How do I Use A Button To Update a Data Source In XMPro App Designer
            • How Does XMPro Compare To ESBs (Enterprise Service Buses)-
            • How to Configure and Integrity Check in Data Streams
            • How To Create A Widget Within XMPro App Designer
            • How to Create Intelligent Digital Twins Using XMPro AI
            • How to export grid data to Excel In XMPro App Designer
            • How to Revolutionize Your Supply Chain with Digital Twins
            • How To Rotate Text In App Designer
            • How To Update a Data Source Using A Button
            • How To Use & Clone XMPro Demos For Your Own Use
            • How To Use And Build 3rd Party Apps To Extend The Capabilities Of The XMPro App Designer.
            • How to use Avatars and why they are important
            • How to view stream host logs In XMPro Data Stream Designer
            • Logging Provider Support With XMPro
            • Mastering Health Check Endpoints: A Guide to Ensuring Service Uptime and Performance with XMPro
            • Mastering Root Cause Analysis with XMPro: Capture, Value, Impact
            • Microsoft Azure Digital Twins Everything You Need To Know
            • Model Based Predictive Maintenance (PdM) With XMPro
            • Monthly Webinar - Accelerate your digital twin use cases - XMPro Blueprints, Accelerators & Patterns
            • Optimizing Time Series Chart (TSC) Performance
            • Predictive Maintenance & Condition Monitoring - A Hot Seat Q&A Session
            • Predictive Maintenance with XMPro iDTS
            • Smart Facilities Management with Intelligent Digital Twins
            • The Benefits of using Digital Twins in Smart Manufacturing
            • The Four Industrial Revolutions Explained In Under 4 Minutes! #industry4 #smartmanufacturing
            • The Roadmap To Intelligent Digital Twins
            • The Technology Behind Predictive Maintenance (PdM) - The Hardware & Software that makes PdM Tick...
            • THE TOP USE CASES FOR COMPOSABLE DIGITAL TWINS IN RENEWABLES
            • Tips on how to use cache in agent configuration and get live updates
            • Webinar - XMPro 4.3 Release Showcase
            • What is a Digital Twin- Why Composable Digital Twins is the Future.
            • What Is Predictive Maintenance- (PdM)
            • What To Do When a Data Source Is Not Showing in Pass Page Parameter
            • XMPro - The World's Only AI - Powered Intelligent Digital Twin Suite
            • XMPro - The World's Only No Code Digital Twin Composition Platform
            • XMPro AI : How It Works
            • XMPro AI End To End Use Case
            • XMPro Auto Scale - Understanding Distributed Caching for Cloud-Native Applications
            • XMPro Promo Video - Dell Validated Design For Manufacturing Edge
          • 2022
            • Aggregate Transformation Agent Example - XMPRO Data Stream Designer
            • App Layout Best Practices for Desktop & Mobile - XMPro Lunch & Learn
            • Broadcast Transformation Agent Example - XMPRO Data Stream Designer
            • Calculated Field Transformation Agent Example - XMPRO Data Stream Designer
            • CRC16 Function Agent Example - XMPRO Data Stream Designer
            • Create a Common Operating Picture of Your Operations with XMPro
            • CSV Context Provider Agent Example - XMPro Data Stream Designer
            • CSV Simulator Agent Example - XMPRO Data Stream Designer
            • CSV Writer Agent Example - XMPRO Data Stream Designer
            • Data Conversion Transformation Agent Example - XMPro Data Stream Designer
            • Digital Twin Strategy To Execution Pyramid - XMPro Webinar
            • Event Printer Action Agent Example - XMPRO Data Stream Designer
            • File Listener Agent Example - XMPRO Data Stream Designer
            • Filter Transformation Agent Example - XMPRO Data Stream Designer
            • Group & Merge Transformation Agent Example - XMPRO Data Stream Designer
            • How To Bind Data To A Chart and Get It Working As Expected - XMPro Lunch & Learn
            • How To Send Data To My App (Including Caching Introduction) - XMPro Lunch & Learn
            • Join Transformation Agent Example - XMPRO Data Stream Designer
            • Min/Max Function Agent Example - XMPRO Data Stream Designer
            • PART 1- How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • PART 3 - How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • PART2 - How To Manage Complex Operations in Real-time Using Composable Digital Twins
            • Pass Through Agent Example - XMPRO Data Stream Designer
            • Pivot Table Transformation Agent Example - Count - XMPRO Data Stream Designer
            • Pivot Table Transformation Agent Example - Sum - XMPRO Data Stream Designer
            • Real-Time Is Real - How To Use Event Intelligence Tools to Manage Complex Operations in Real-time.
            • Row Count Agent Example - XMPRO Data Stream Designer
            • Sort Transformation Agent Example - XMPRO Data Stream Designer
            • Transpose Transformation Agent Example - Columns - XMPRO Data Stream Designer
            • Transpose Transformation Agent Example - Rows - XMPRO Data Stream Designer
            • Trim Name Transformation Agent Example - XMPRO Data Stream Designer
            • Twilio Action Agent Example - XMPRO Data Stream Designer
            • Union Transformation Agent Example - XMPRO Data Stream Designer
            • Variables & Expressions in App Designer - XMPro Lunch & Learn
            • Window Transformation Agent Example - XMPRO Data Stream Designer
            • XML File Reader Action Agent Example - XMPRO Data Stream Designer
          • 2021
            • The Value of a Composable Digital Twin - XMPro Webinar
          • 2020
            • 1. Understanding The Problem - UX Design - XMPRO
            • 1.1 Welcome - XMPRO UI Design Basics
            • 1.2 Introduction To UI Design - XMPRO UI Design Basics
            • 2. Creating User Stories - UX Design - XMPRO
            • 2.1 Responsive Design - XMPRO UI Design Basics
            • 2.2 Grids - XMPRO UI Design Basics
            • 2.3 Visual Hierarchy - XMPRO UI Design Basics
            • 2.4 Wireframes - XMPRO UI Design Basics
            • 3. Creating User Flow Diagrams - UX Design - XMPRO
            • 3.1 Color Palette - XMPRO UI Design Basics
            • 3.2 Typography - XMPRO UI Design Basics
            • 3.3 White Space - XMPRO UI Design Basics
            • 3.4 UI Elements - XMPRO UI Design Basics
            • 4. Plan Your App with Wireframes - UX Design - XMPRO
            • 4.1 Chart Types - XMPRO UI Design Basics
            • 4.2 Chart Styling - XMPRO UI Design Basics
            • 5. Designing for Dynamic Data - UX Design - XMPRO
            • Agents and Their Types - XMPRO Data Stream Designer
            • Data Wrangling: Row Transpose - XMPRO Data Stream Designer
            • Digital Twin: Your Most Productive Remote Worker - XMPRO Webinar
            • End-To-End Real-Time Condition Monitoring Demo - XMPRO Application Development Platform
            • Error Endpoints - XMPRO Data Stream Designer
            • Export and Import Recommendations - XMPRO App Designer
            • How To Add Buttons To Agents - XMPRO Data Stream Designer
            • How To Add EditLists to Agents - XMPRO Data Stream Designer
            • How To Change UI Language - XMPRO Subscription Manager
            • How To Configure a Stream Object - XMPRO Data Stream Designer
            • How To Configure The Aggregate Transformation - XMPRO Data Stream Designer
            • How To Configure The Anomaly Detection Agent - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Action Agent - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Context Provider - XMPRO Data Stream Designer
            • How To Configure The Azure SQL Listener - XMPRO Data Stream Designer
            • How To Configure The Calculated Field Transformation - XMPRO Data Stream Designer
            • How To Configure The CSV Context Provider - XMPRO Data Stream Designer
            • How To Configure The CSV Listener - XMPRO Data Stream Designer
            • How To Configure The Data Conversion Transformation - XMPRO Data Stream Designer
            • How To Configure The Edge Analysis Transformation - XMPRO Data Stream Designer
            • How To Configure The Email Action Agent - XMPRO Data Stream Designer
            • How To Configure The Email Listener - XMPRO Data Stream Designer
            • How To Configure The Event Printer Action Agent - XMPRO Data Stream Designer
            • How To Configure The Event Simulator Listener - XMPRO Data Stream Designer
            • How To Configure The FFT Function - XMPRO Data Stream Designer
            • How To Configure The File Listener - XMPRO Data Stream Designer
            • How To Configure The Filter Transformation - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Action Agent - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Context Provider - XMPRO Data Stream Designer
            • How To Configure The IBM Maximo Listener - XMPRO Data Stream Designer
            • How To Configure The Join Transformation - XMPRO Data Stream Designer
            • How To Configure The JSON File Reader Context Provider - XMPRO Data Stream Designer
            • How To Configure The MQTT Action Agent - XMPRO Data Stream Designer
            • How To Configure The MQTT Advanced Action Agent - XMPRO Data Stream Designer
            • How To Configure The MQTT Advanced Listener - XMPRO Data Stream Designer
            • How To Configure The MQTT Listener - XMPRO Data Stream Designer
            • How To Configure The Normalize Fields Function - XMPRO Data Stream Designer
            • How To Configure The OSIsoft PI Context Provider - XMPRO Data Stream Designer
            • How To Configure The OSIsoft PI Listener - XMPRO Data Stream Designer
            • How To Configure The Pass Through Transformation - XMPRO Data Stream Designer
            • How To Configure The PMML Agent - XMPRO Data Stream Designer
            • How To Configure The REST API Context Provider - XMPRO Data Stream Designer
            • How To Configure The RScript Agent - XMPRO Data Stream Designer
            • How To Configure The Run Recommendation Agent - XMPRO Data Stream Designer
            • How To Configure The Signal Filter - XMPRO Data Stream Designer
            • How To Configure The SQL Server Action Agent - XMPRO Data Stream Designer
            • How To Configure The SQL Server Context Provider - XMPRO Data Stream Designer
            • How To Configure The SQL Server Listener - XMPRO Data Stream Designer
            • How To Configure The SQL Server Writer Action Agent - XMPRO Data Stream Designer
            • How To Configure The Twilio Action Agent - XMPRO Data Stream Designer
            • How To Configure The Union Transformation - XMPRO Data Stream Designer
            • How To Configure The Unzip Function - XMPRO Data Stream Designer
            • How To Configure The Window Transformation - XMPRO Data Stream Designer
            • How To Create an App - XMPRO App Designer
            • How To Create and Manage Templates - XMPRO App Designer
            • How To Create and Publish a Use Case - XMPRO Data Stream Designer
            • How To Create and Use a Widget - XMPRO App Designer
            • How To Create App Data Connections - XMPRO App Designer
            • How To Create App Pages and Navigation - XMPRO App Designer
            • How To Create Recommendation Rules - XMPRO App Designer
            • How To Create Recurrent Data Streams - XMPRO Data Stream Designer
            • How To Do Integrity Checks - XMPRO Data Stream Designer
            • How To Edit Page Properties - XMPRO App Designer
            • How To Enable Audit Trails - XMPRO App Designer
            • How to Export, Import, and Clone a Data Stream - XMPRO Data Stream Designer
            • How To Export, Import and Clone an App - XMPRO App Designer
            • How to Export and Import an App - XMPRO App Designer
            • How To Find Help for an Agent - XMPRO Data Stream Designer
            • How To Install The XMPRO App Designer
            • How To Maintain and Capture Notes - XMPRO App Designer
            • How To Manage Agents - XMPRO Data Stream Designer
            • How To Manage and Use Server Variables - XMPRO Data Stream Designer
            • How To Manage Buffer Size - XMPRO Data Stream Designer
            • How to Manage Categories - XMPRO App Designer
            • How To Manage Categories - XMPRO Data Stream Designer
            • How To Pass Parameters Between Pages - XMPRO App Designer
            • How To Publish and Share an Application - XMPRO App Designer
            • How To Set Up and Use Charts in Live View - XMPRO Data Stream Designer
            • How To Set Up and Use Gauges in Live View - XMPRO Data Stream Designer
            • How To Share a Data Stream - XMPRO Data Stream Designer
            • How To Share a Use Case - XMPRO Data Stream Designer
            • How To Share an App For Design Collaboration - XMPRO App Designer
            • How To Troubleshoot a Use Case - XMPRO Data Stream Designer
            • How To Upgrade a Stream Object Version - XMPRO Data Stream Designer
            • How To Use App Files - XMPRO App Designer
            • How To Use Application Versions - XMPRO App Designer
            • How To Use Bar Gauge - XMPRO App Designer
            • How To Use Calendar - XMPRO App Designer
            • How To Use Chart Pan, Zoom and Aggregation - XMPRO App Designer
            • How To Use Chart Panes and Axes - XMPRO App Designer
            • How To Use Chart Print and Export- XMPRO App Designer
            • How To Use Charts - XMPRO App Designer Toolbox
            • How To Use Charts: Series - XMPRO App Designer
            • How To Use Collections - XMPRO Data Stream Designer
            • How To Use Content Card - XMPRO App Designer
            • How To Use D3 - XMPRO App Designer
            • How To Use Data Sources - XMPRO App Designer
            • How To Use Embedded Pages - XMPRO App Designer Toolbox
            • How To Use Fieldset and Field - XMPRO App Designer Toolbox
            • How To Use Flex Layout
            • How To Use Form Validation - XMPRO App Designer Toolbox
            • How To Use Input Mappings - XMPRO Data Stream Designer
            • How To Use Linear Gauges - XMPRO App Designer
            • How To Use Live View - XMPRO Data Stream Designer
            • How To Use Lookup - XMPRO App Designer
            • How To Use Maps - XMPRO App Designer
            • How To Use Page Layers - XMPRO App Designer
            • How To Use Pivot Grid - XMPRO App Designer
            • How To Use Polar Charts - XMPRO App Designer
            • How To Use Power BI - XMPRO App Designer
            • How To Use Radio Buttons - XMPRO App Designer Toolbox
            • How To Use Recommendations - XMPRO App Designer Toolbox
            • How To Use Select Box - XMPRO App Designer
            • How To Use Stacked Layouts - XMPRO App Designer Toolbox
            • How To Use Stream Host Local Variables - XMPRO Data Stream Designer
            • How To Use Tabs - XMPRO App Designer Toolbox
            • How To Use Tags - XMPRO App Designer Toolbox
            • How To Use Templated List - XMPRO App Designer
            • How To Use Templates - XMPRO App Designer
            • How To Use Text - XMPRO App Designer Toolbox
            • How To Use Text Area - XMPRO App Designer Toolbox
            • How To Use The Accordion - XMPRO App Designer Toolbox
            • How To Use The Block Styling Manager - XMPRO App Designer
            • How To Use The Box and Data Repeater Box - XMPRO App Designer Toolbox
            • How To Use The Button - XMPRO App Designer Toolbox
            • How To Use The Circular Gauge - XMPRO App Designer Toolbox
            • How To Use The Data Grid - XMPRO App Designer Toolbox
            • How To Use The HTML Editor - XMPRO App Designer Toolbox
            • How To Use The Hyperlink and Box Hyperlink - XMPro App Designer Toolbox
            • How To Use The Image - XMPRO App Designer Toolbox
            • How To Use The Indicator - XMPRO App Designer Toolbox
            • How To Use The Layout Grid - XMPRO App Designer Toolbox
            • How To Use The Number Selector - XMPRO App Designer Toolbox
            • How To Use The Pie Chart - XMPRO App Designer Toolbox
            • How To Use The Range Slider - XMPRO App Designer Toolbox
            • How To Use The Recommendation Chart - XMPRO App Designer Toolbox
            • How To Use The Scroll Box - XMPRO App Designer Toolbox
            • How To Use The Select Box - XMPRO App Designer Toolbox
            • How To Use The Sparkline - XMPRO App Designer Toolbox
            • How To Use The Textbox - XMPRO App Designer Toolbox
            • How To Use Tree Grid - XMPRO App Designer
            • How To Use Tree List - XMPRO App Designer
            • How To Use Unity - XMPRO App Designer Toolbox
            • How To Use Variables - XMPRO App Designer
            • How To Write and Maintain Notes and Business Case - XMPRO Data Stream Designer
            • Interactive 3D Models For Digital Twins - XMPRO Event Intelligence Platform
            • Manage Input Arrow Highlights - XMPRO Data Stream Designer
            • Manage Recommendation Access - XMPRO App Designer
            • Realize Value from End-To-End Condition Monitoring in 6 - 8 Weeks - XMPRO
            • Recommendation Versions - XMPRO App Designer
            • Solution Development Process For Event Intelligence Apps - XMPRO
            • Stream Hosts and How To Install Them - XMPRO Data Stream Designer
            • Use Case Versioning - XMPRO Data Stream Designer
            • XMPRO App Designer Overview - Event Intelligence Applications
            • XMPRO Data Stream Designer - Event Intelligence Applications
            • XMPRO Real-Time Event Intelligence Demo
            • XMPRO Recommendations - Event Intelligence Applications
          • 2019
            • Data Distribution Service: Using DDS in Your IoT Applications
            • My Digital Twin: Digital Twin Applications For Real-Time Operations (Like Me)
            • Setting up a Typical Industrial IoT Use Case with XMPro
            • XMPro Overview & Fin Fan Failure Demo
          • 2016
            • XMPro iBPMS Overview
          • 2013
            • XMPro Best Next Action - 3 Examples for XMPro blog
            • XMPro Case Management Example
            • XMPro Internet of Things Demo
          • 2012
            • Is Agile Business the New Normal
            • The Future of BPM Moving Towards Intelligent Business Operations
            • What industries does XMPro serve-
            • Who is XMPro for-
            • XMPro - The Social Listener - Why You Should Be Listening.wmv
            • XMPro Cool Vendor 2012
            • XMPro iBPMS For SharePoint
            • XMPro iBPMS v6 XMWeb for Intelligent Business Operations
            • XMPro News and Gartner BPM Sydney Summit Discount Offer.mp4
            • XMPro Version 6 - Introducing the Next Generation BPM for Intelligent Business Operations
    • Practice Notes
      • Unified Recommendation Alert Management
      • Performant Landing Pages in Real-Time Monitoring
  • Concepts
    • XMPro AI
      • XMPro Notebook
    • Data Stream
      • Stream Object Configuration
      • Verifying Stream Integrity
      • Running Data Streams
      • Timeline
    • Collection and Stream Host
    • Agent
      • Virtual vs Non-Virtual Agents
    • Application
      • Template
      • Page
      • Block
      • Canvas
      • Page Layers
      • Block Styling
      • Devices
      • Flex
      • Block Properties
      • Data Integration
      • Navigation and Parameters
      • Variables and Expressions
      • App Files
      • Metablocks
    • Recommendation
      • Rule
      • Execution Order
      • Auto Escalate
      • Form
      • Action Requests
      • Notification
      • Recommendation Alert
      • Deleted Items
      • Scoring
    • Connector
    • Landing Pages & Favorites
    • Version
    • Manage Access
    • Category
    • Variable
    • Insights
      • Data Delivery Insights
  • How-To Guides
    • Data Streams
      • Manage Data Streams
      • Manage Collections
      • Use Remote Receivers and Publishers
      • Manage Recurrent Data Streams
      • Use Business Case and Notes
      • Run an Integrity Check
      • Check Data Stream Logs
      • Use Live View
      • Use Stream Metrics
      • Troubleshoot a Data Stream
      • Upgrade a Stream Object Version
      • Setup Input Mappings
      • Use Error Endpoints
      • Use the Timeline
      • Context Menu
    • Application
      • Manage Apps
      • Manage Templates
      • Manage Pages
      • Import an App Page
      • Design Pages for Mobile
      • Navigate Between Pages
      • Pass Parameters Between Pages
      • Page Data
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  • Release Notes
    • v4.4.18
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On this page
  • Problem Statement
  • Introduction
  • Performance & First Impressions
  • Critical First Moments
  • Performance Targets
  • Strategic Content Distribution
  • Device-Specific Optimization
  • Data Strategy & Content Relevance
  • Connecting Data Management with User Needs
  • Smart Data Architecture Choices
  • Content Organization for Different Users
  • Data Currency Management
  • Interface Design & User Navigation
  • Integrating Design Structure with User Interaction Pathways
  • Layout Optimization
  • Visualization Strategy Implementation
  • Clear Action Pathways
  • Operational Context Adaptation
  • Content Prioritization Across Devices
  • Device-Specific Implementation Strategies
  • Scale Considerations
  • Conclusion
  • Acknowledgements
  • Appendix 1 - Summary of the integration of interface architecture and user navigation

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  1. Resources
  2. Practice Notes

Performant Landing Pages in Real-Time Monitoring

XMPro Design Patterns, Published Mar 2025

PreviousUnified Recommendation Alert ManagementNextXMPro AI

Last updated 6 days ago

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Problem Statement

A poorly performing landing page creates frustrated, disconnected users. Imagine waiting for data to load, knowing it won’t tell you what you need to know – so you’ll have to change a filter or navigate elsewhere and wait all over again!

One reason for a poor landing page is if it is loaded up with a Unity 3D model of a beautiful long-haul truck or wind farm. Seeing a Caterpillar truck in 3D with real-time sensor readings and alerts is a thing of beauty, but do you need to see it 1st time every time? This is the question for page designers who may confuse ‘sizzle’ with a real-life working dashboard.

The usefulness of the page balanced with performance should be top of mind. “What is the problem the user is seeking to answer” should drive every component of every page.

Introduction

Landing page design requires a balanced approach that addresses both technical performance and user experience needs. Successful implementation depends on recognizing that these dimensions are interconnected—technical decisions directly shape how users interact with and perceive XMPro applications.

In industrial environments, landing pages serve operational personnel who require immediate access to actionable information. The effectiveness of these pages directly impacts decision-making processes, situational awareness, and operational efficiency. Thus, technical implementation must align with specific operational contexts and user workflows.

Key principles that connect technical implementation to user impact include:

  1. Performance directly shapes initial user perception - Load times establish immediate trust in the system and determine whether users engage effectively

  2. Data relevance is as important as data speed - Users need not just fast access, but immediate visibility of the specific information required for their role

  3. Interface design must balance visual clarity with resource efficiency - Technical optimization and intuitive design work together to guide users to essential functions

  4. Device context significantly affects both technical requirements and user needs - Implementation must account for varying operational environments and device capabilities

  5. Scale considerations affect both system architecture and user comprehension - As data volumes grow, adapt technical approaches and information presentation

The following sections explore how these principles translate to specific implementation strategies across the key aspects of landing page design—balancing technical performance with meaningful user experiences.

Performance & First Impressions

Critical First Moments

Initial page load performance establishes immediate user trust and engagement you’re your XMPro industrial applications. Users form judgments about system reliability within milliseconds of their first interaction, making the technical optimization of landing pages a direct driver of user confidence and operational effectiveness.

The "time to first meaningful paint"—when users first see and can interact with essential content—directly shapes their perception of the entire system. In industrial environments, this initial impression extends beyond mere satisfaction to affect operational readiness and decision-making capability.

Make the user journey easy, fast and relevant.

Performance Targets

Landing pages must meet specific performance targets across different operational contexts:

  • Fixed workstations and laptops: maximum 2 seconds

    • Research shows user frustration begins at 2 seconds

    • Enterprise infrastructure should support optimal performance

  • Portable devices (tablets and phones) on 5G networks: maximum 3 seconds

    • Field operations require rapid mobile access

    • Enterprise security adds processing overhead

These targets ensure that all users, regardless of their work environment, can immediately engage with critical operational data.

Strategic Content Distribution

Strategically distribute content across primary landing pages and drill-down views to optimize performance:

  1. Landing Page Essentials

    • Include only critical metrics, alerts, and primary controls on initial landing pages (Data that matters)

    • Focus on immediate visibility of essential operational indicators

    • Utilize lightweight visualization components (tiles, simple charts, status indicators)

  2. Drill-down Resource Management

    • Place resource-intensive visualizations (maps, Unity 3D models, complex dashboards) on separate drill-down pages, ensuring these elements load only when explicitly requested by users

    • Provide clear visual indicators of what detailed information is available

For example, a manufacturing operations landing page should immediately show critical KPIs and alert counts, with clear pathways to detailed floor visualizations that load only when selected. This approach ensures immediate access to essential information while preserving system responsiveness.

Device-Specific Optimization

Rather than a one-page-fits-all approach, each device category requires specific optimization approaches:

  • Control Room Displays

    • Optimized for large screens and multiple monitors

    • Focused on comprehensive data visualization

    • Designed for mouse and keyboard interaction

  • Field Tablets

    • Simplified interface for touch interaction

    • Prioritized critical metrics for mobile viewing

    • Adapted for variable lighting conditions

  • Mobile Devices

    • Streamlined for essential operational data

    • Optimized for single-hand operation

    • Designed for intermittent connectivity

Summary: Performance optimization directly impacts first impressions and operational effectiveness

  • Ensure landing pages load within device-specific target times

  • Include only essential elements on initial landing pages

  • Place resource-intensive visualizations on separate drill-down pages

  • Adapt interface and content based on device context and user role

  • Provide clear pathways to detailed information

Data Strategy & Content Relevance

Connecting Data Management with User Needs

Data management and content prioritization work together to create effective landing pages. How we handle data directly affects what users see and how quickly they can access important information.

Smart Data Architecture Choices

Effective implementation requires careful consideration of data scope, storage location, and access patterns to achieve optimal response times. Consider these key architectural decisions:

  • Data Volume Control

    • Use focused data sets with clear time boundaries (like 30-day windows)

    • Prioritize data that supports immediate operational decisions

    • Provide clear paths to historical data when needed

  • Storage Strategy Optimization

    • Choose storage solutions based on access frequency and performance requirements

    • Keep critical operational metrics in fast-access storage

    • Balance query speed against storage costs (e.g. ADX vs SQL)

For industrial applications, this means deciding which metrics need immediate visibility vs which can be accessed through drilldowns. For example, a plant manager's landing page might show current production rates and critical alerts, while detailed equipment metrics remain accessible through clear navigation options.

Content Organization for Different Users

XMPro landing pages must adapt content presentation based on both technical limits and user priorities:

  • Role-Based Content Focus

    • Show the most relevant information for each role immediately

    • Adjust content organization based on device type and operational context

    • Keep critical alerts and indicators visible regardless of device

    • Structure information to support common decision workflows

  • Adaptive Information Density

    • Adjust information density based on device capabilities

    • Present complex visualizations differently across device types

    • Ensure important metrics remain prominent on all devices

    • Provide consistent access to essential functions across all formats

For example, when showing industrial processes on mobile devices, the system might display simplified status indicators with clear paths to detailed diagrams, while workstations receive more comprehensive initial visualizations.

Data Currency Management

Resource-intensive calculations and complex aggregations form the foundation of landing page metrics. However, daily sensor readings don't warrant hourly recalculation, while production metrics might require more frequent updates. Balancing data freshness with performance requires a strategic approach to updates:

  • Scheduled Calculations

    • Perform resource-intensive calculations during off-peak times

    • Match refresh intervals to actual data change patterns

    • Show clear timestamps indicating last calculation time

    • Provide manual refresh capabilities for users

  • Real-Time vs. Pre-Calculated Data

    • Use pre-calculated metrics for landing page elements to improve load speed

    • Reserve real-time queries for critical operational metrics and drill-down views

    • Balance real-time capabilities with system performance

    • Clearly indicate which metrics are real-time versus aggregated summaries

The goal is to provide rapid access to summarized metrics while enabling detailed exploration of current data. The currency data should always be displayed for each component.

Summary: Effective data strategy connects technical performance with operational relevance

  • Match data scope and access methods to specific operational roles

  • Prioritize content based on device context and user responsibilities

  • Implement appropriate data currency strategies for different metric types

  • Structure information to support operational decision-making

  • Balance information density with clarity across all device types

Interface Design & User Navigation

Integrating Design Structure with User Interaction Pathways

Interface architecture and user navigation function as interconnected systems that determine operational efficiency. Research-based design principles support efficient information access while enabling critical industrial functions[1]. Effective integration of these components creates landing pages that guide users naturally through their workflows.

Layout Optimization

User interaction research reveals that effective landing page design must strategically position elements to align with natural viewing patterns and business objectives. The dominant F-pattern[2] scanning behavior shows users first view the top-left area, then scan horizontally before moving downward. This research provides clear guidance for element placement.

  • Critical Component Positioning

    • Position critical metrics and status indicators in the top-left quadrant, for immediate visibility

    • Structure navigation elements to start key processes, reducing cognitive load

    • Organize visual elements by usage frequency and business priority - following the natural F-pattern scanning path

In industrial control interfaces, this evidence-based approach to layout design directly impacts user engagement and task completion rates across all device formats.

Visualization Strategy Implementation

Component selection is a tradeoff between system performance and user engagement. While simpler visualizations deliver better performance, they may reduce user insight and satisfaction; conversely, sophisticated visualizations that delight users often impose significant performance costs. Effective visualization requires balancing these competing demands.

  • Component Selection Parameters

    • Choose visualization types based on data volume, update frequency, and performance impact

    • Reserve resource-intensive components (maps, time series, Unity models) for drill-down views, i.e. requested by a user rather than automatically loaded

    • Utilize efficient components (charts, grids, tiles) for primary metrics display

    • Adapt visualization complexity inversely to data volume (simpler views for larger datasets)

For example, when displaying sensor data across multiple sites, consider using a simplified grid view for the landing page rather than an interactive map visualization. These more complex visualizations should load when specifically requested, preserving system responsiveness while maintaining access to detailed information.

Clear Action Pathways

Conversion path clarity in effective landing pages ensures that primary user actions remain clear and accessible across devices. users can efficiently navigate to primary actions across all devices. Call-to-Action (CTA) elements require careful design consideration to maintain their prominence and effectiveness regardless of display context. This aspect of interface design supports operational effectiveness by minimizing cognitive effort during task execution.

  • Action Element Consistency

    • Maintain consistent CTA visibility across all device types

    • Adapt interactive element sizes to device input methods

    • Optimize touch targets for mobile and tablet interfaces

In practical implementation, an "Overdue Recommendations" function might span the full width on mobile screens for easy touch access, while appearing as a compact button in a consistent location on desktop interfaces. Although the appearance adapts, the function and its importance remain clear to users regardless of device.

Summary: Effective interface design integrates layout principles with navigation pathways

  • Position key elements according to validated visual scanning patterns

  • Select visualization components based on performance and usability requirements

  • Design clear interaction paths for essential operational functions

  • Preserve visual hierarchy across different screen sizes


Operational Context Adaptation

Content Prioritization Across Devices

How information is structured and presented must adapt to different screen sizes while maintaining operational relevance. Content prioritization ensures critical information remains accessible regardless of viewing context.

  • Device-Specific Content Hierarchy

    • Adapt content structure based on device constraints and operational context

    • Maintain critical alert visibility across all form factors

    • Implement progressive disclosure for complex information sets

    • Provide clear paths to detailed information

On smaller devices, complex features like process diagrams or digital twin demonstrations should be simplified initially, with clear options to access detailed views. This approach preserves XMPro's industrial process capabilities while adapting to device constraints, ensuring the strong value proposition is maintained without overwhelming users.

Device-Specific Implementation Strategies

Different operational environments demand tailored interface approaches while maintaining functional consistency. Understanding how each device type is used in industrial contexts shapes implementation decisions.

  • Control Room Environments

    • Design for extended monitoring sessions with comprehensive information display

    • Support advanced interactions using precision input devices

    • Enable systematic comparison between related process parameters

    • Optimize for continuous operational oversight

  • Field Operations Support

    • Prioritize glance-based information access for mobile contexts

    • Provide simplified status indicators with clear paths to details

    • Design for variable environmental conditions (lighting, distractions)

    • Optimize for potentially intermittent connectivity

  • Cross-Device Integration

    • Ensure users maintain consistent mental models across devices

    • Preserve work state during device transitions

    • Implement unified notification systems across all platforms

    • Support seamless operational continuity regardless of access point

Summary: Operational context variations necessitate adaptation while preserving core functionality

  • Prioritize content based on device context and operational roles

  • Implement device-specific interfaces while maintaining consistent functionality

  • Ensure device choice never impedes operational workflows

Scale Considerations

System scale fundamentally impacts implementation decisions across data architecture and visualization strategies. Each order of magnitude (104, 106, and 108) presents distinct optimization requirements that affect both performance and user experience. Landing page design must anticipate and adapt to these scale transitions to maintain effective operation.

In industrial environments, scale considerations directly impact implementation choices. For example, a dashboard displaying real-time sensor data might use detailed line graphs when monitoring ten devices but must switch to aggregated heat maps when tracking thousands of sensors. Similarly, a landing page designed for a single manufacturing site requires different optimization strategies than one managing global operations. As noted by Peter van Hardenberg, increasing scale changes everything about a system - from data architecture to visualizations. Rather than attempting to design for all scale possibilities, implementations should target specific scale ranges and plan for transitions as operational needs evolve.

Summary: Key principles for managing scale

  • Match implementation to current operational requirements

    • Implement appropriate data aggregation methods

    • Select visualization techniques suitable for data volume

  • Design and test at production-equivalent scale

  • Plan system rebuilds at major scale transition points (10^4, 10^6, 10^8)

  • Avoid over-engineering for future scale requirements

  • Implement appropriate monitoring for scale-related performance metrics

Conclusion

Successful landing page implementation in industrial environments requires careful balance across multiple dimensions: performance requirements, data architecture, and user experience. Key success metrics include initial load time performance, data currency management, and operational workflow efficiency. These metrics must be evaluated within the context of device-specific requirements and scale considerations.

Implementation teams should focus on delivering robust core functionality that meets essential operational needs. This approach aligns with industrial reliability requirements, where consistent performance takes precedence over non-essential features. As with choosing between a Toyota Corolla and a Tesla, the goal is to match implementation complexity to actual requirements - sometimes reliability and simplicity are key, while other situations may warrant more sophisticated solutions.

Acknowledgements

I want to acknowledge the valuable feedback from projects, clients, and customers that motivated me to compile these guidelines. Their practical experiences have shaped this document and reinforced the importance of performant landing page design in industrial applications. I have leaned towards the XMPro teams’ experiences and intentionally not made this document a rehash of the ASM Consortium Guidelines Effective Console Operator HMI Design[1].


Appendix 1 - Summary of the integration of interface architecture and user navigation

The usefulness of an XMPro page is the integration[1] of interfacing architecture and user navigation to enhance operational efficiency and support critical industrial functions. Here are some references and explanations that support this assertion:

  1. Navigation Design and User Experience: Effective navigation design is crucial for creating a seamless user experience. It involves analyzing and implementing ways for users to navigate through digital platforms efficiently, which directly impacts operational efficiency[2]. Research-based design principles, like user-centered design and iterative testing, ensure that navigation systems are intuitive and easy to use.

  2. Information Architecture Principles: Dan Brown's 10 principles of information architecture provide a comprehensive framework for designing user-friendly information systems. Principles like "Focused Navigation" and "Multiple Classifications" help ensure that users can access information efficiently, which is essential for operational efficiency[3]. These principles support the idea that well-structured information architectures enable critical functions by making information accessible and organized.

  3. Best Practices in Navigation and Information Architecture: Best practices in UX/UI design emphasize the importance of intuitive menus and navigation systems. These systems are fundamental in helping users explore and navigate through digital interfaces, which is critical for guiding users through workflows[4]. Effective organization of information and visual hierarchy are key considerations for ensuring that users can easily find what they need, thereby enhancing operational efficiency.

  4. Landing Page Design: While the statement specifically mentions landing pages, effective landing page design often incorporates principles of navigation and information architecture. For example, landing pages like those of Workable and Trello use minimalistic designs and intuitive navigation to guide users through workflows efficiently[5]. These designs are based on understanding the target audience's needs and behaviors, which aligns with research-based design principles.

In summary, the integration of interface architecture and user navigation is supported by research-based design principles that enhance operational efficiency and support critical industrial functions. Effective navigation and information architecture are crucial for creating seamless user experiences and guiding users naturally through workflows, including landing pages.


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[5]

https://www.finoit.com/articles/maximizing-user-experience-design-through-information-architecture/
LinkedIn: Understanding and Leveraging the F-Pattern in UX Design
https://www.asmconsortium.net/Documents/ASM_Handout_Display.pdf
https://www.finoit.com/articles/maximizing-user-experience-design-through-information-architecture/
https://www.justinmind.com/blog/navigation-design-almost-everything-you-need-to-know/
https://adamfard.com/blog/10-principles-information-architecture
https://www.linkedin.com/pulse/best-practices-navigation-information-architecture-florencia-marelli/
https://www.getresponse.com/blog/landing-page-examples
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