What is ActiveG Nash Workflows?
Nash Workflows is a powerful no-code automation engine that seamlessly integrates with Esri ArcGIS to provide real-time data processing and automation. Nash Workflows enables organizations to build robust business processes that tie various systems together via REST APIs, including email (SMTP), IBM Maximo, and ServiceNow.
One of the primary benefits of Nash Workflows is its flexibility, which allows non-coders to use it easily. With Nash Workflows, you can build a process recipe once and then copy and modify it to fit different needs. This means that you can easily turn a Fire Hydrant Inspections flow into a Valve Inspections flow, for example.
Nash Workflows is particularly useful for automating processes that use Esri Survey123, QuickCapture, and Field Maps. It allows users to seamlessly integrate field data collected via Esri mobile solutions with their work management system, such as Workforce for ArcGIS, IBM Maximo, and ServiceNow. With Nash Workflows, you can automatically generate service orders based on survey data, perform quality checks, and provide real-time status updates via email or text.
One water utility customer uses Nash Workflows to automate the fleet maintenance and safety. Field crews use Survey123 to enter daily vehicle information, and Nash evaluates that data, prompts the user accordingly, and sends the appropriate information to the asset management system. With Nash Workflows, the water utility managers can keep track of their fleet's condition in real-time, ensuring optimal performance and efficiency.
Nash Workflows provides a high ROI and rapid deployment of real, location-aware solutions. It is the ideal solution for organizations that want to streamline their business processes and improve their productivity with Esri ArcGIS.
- Asset Tracking and Analysis
- Operational Efficiency
- Field Service Management
- Performance Monitoring
- Situational Awareness
- Electric and Gas Utilities
- State and Local Government
- Petroleum and Pipeline
o Windows Server
o Linux (Ubuntu preferred)
System RAM: 8GB recommended
Mar 28, 2023