Last Mile Data Collection: Capture Field Data Without Code
Design low-code apps to collect, manage, and analyze data in real time.
- NGauge – Web forms with validations and workflows.
- Lists – Curated datasets for reuse and reporting.
- Query Builder – Visual and AI-powered data queries.
Smarter data for accurate decisions
Simplify your data collection process with intelligent collection tools that adapt to your business.
Web-Based Forms for Accurate Data Collection
Capture last-mile data with flexible, customizable forms built for business workflows.
- Set up forms quickly with drag-and-drop fields and validation rules.
- Automate actions by triggering workflows based on incoming data.
- Monitor and modify data in real time—no more waiting for manual updates.
- Control field access and deletion based on user roles.
- Embed forms into existing apps or processes with full branding support.
Start building your low-code data apps today!
Governed Datasets for Reporting and Sharing
Centralize your data assets and make them reusable across your organization. Replace scattered spreadsheets with centralized, controlled, and reliable data lists.
- Build and manage curated lists from form data or other sources.Design fully customizable forms tailored to your specific business needs.
- Tag and govern lists for specific use cases or teams.
- Download, search, and share lists for collaborative analysis.
- Use lists directly in dashboards, reports, and workflows.
From Natural Language to Insight
Whether you're a data analyst or a business user, explore your data with ease and flexibility.
- Use a visual, drag-and-drop interface to build SQL queries
- Switch to manual mode with full SQL editor and smart auto-complete.
- Generate queries using GenAI—just describe what you need in plain language.
- Connect results directly to dashboards, lists, or workflows.
Learn how a fortune 500 company enhanced their shopfloor visibility with NGauge forms
Effectively manage your master data
Use NGuage forms to implement master data management (MDM) in your company to get a reliable, up-to-date picture of the data for better reporting, decision-making and process effectiveness
Increase effectiveness
Boost your business effectiveness with a centralized master data and a zero chance of data duplications.
Economize resources
Save your time and resources with fully automated & well maintained master data management.
Establish Hierarchies
Create multiple master datasource & link them together in a hierarchy, as needed, using NGauge forms.
Strengthen business agility
Manage, streamline & analyze larger volumes of data more efficiently and effortlessly for quick analysis.
Enhance data Optimization
Improve the data quality with accurate, and consistent data across all systems and applications.
Inspect & Monitor Data Inputs
Track and monitor your system or process performance effectively with continuous data monitoring.
Master-Driven Capture Patterns for Manufacturing Teams
In production environments, form structure determines analytics reliability. Use controlled masters and dependency rules to keep operational data analysis-ready from the point of capture.
- Use dependent dropdowns for plant, shopfloor, line, and model selection.
- Govern reason-code and defect masters centrally so all teams use the same values.
- Allow additions to master values through controlled approval flows, not free text.
- Log who changed master mappings and when for full auditability.
Manufacturing Workflow Example: Downtime + Defect Capture
A practical pattern for line teams is to capture two high-value signals in one shift workflow: downtime reason updates and defect remarks.
- Operator selects line and shift using dependent dropdowns.
- When a stoppage occurs, operator logs reason code, loss minutes, and standardized remark.
- For rejected output, operator records defect family, quantity, and first-pass status.
- Supervisor reviews exception queue and approves/rejects out-of-policy entries.
This creates a clean bridge from form capture to line decisions on OEE, FTT, and loss-prioritization.
Frequently Asked Questions
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