# Data Apps: build your own app with trusted data * Create forms in NGauge Forms and collect data without writing code * Validate records against data quality rules before the app acts on them * Control who can see which data, and who can take which action [Book a Demo](/book-a-demo) IgnisGTM · Workspace ![IgnisGTM workspace, a sales app built on Infoveave, showing sales tasks on a Kanban board grouped by due date and status](/images/data-apps/hero/ignis-workspace.webp)![IgnisGTM account details page, a sales app built on Infoveave, showing company profile, qualification and contact counts](/images/data-apps/hero/ignis-accounts.webp)![IgnisGTM contacts list, a sales app built on Infoveave, showing job title, department, industry and seniority for each contact](/images/data-apps/hero/ignis-contacts.webp)![IgnisGTM team supervision dashboard, a sales app built on Infoveave, showing a live team task feed](/images/data-apps/hero/ignis-team-supervision.webp) WorkspaceAccountsContactsTeam supervision IgnisGTM, a sales intelligence app built on Infoveave What it is ## Data Apps turn your last-mile data into governed business workflows What is a Data App? Data Apps let you build low-code apps for the workflows that off-the-shelf software leaves out. They handle last-mile data collection and data management, and link to automations that trigger the next action. Because the app runs on the same [Unified Data Platform](/unified-data-platform) as your data, it inherits the data quality rules and access controls you have already defined. You do not rebuild them for each new app. Build Create forms and data-driven apps with NGauge Forms, with no code. [See NGauge Forms](#ngauge-forms) Trust Validate records against data quality rules and control access by role and data scope. [Data Quality](/platform/data-quality)[Data Governance](/platform/data-governance) Act Route requests, notify owners and trigger the next step with workflow automation. [Data Automation](/platform/data-automation) NGauge Forms ## Everything you need to collect, validate and act on data NGauge Forms is the interface layer of your app. Here is what you can do with it. ![NGauge Forms designer in Infoveave](https://cdn.infoveave.com/data-driven-apps/mega-image/Nguage-forms.webp) ### Build the form your process needs Design forms around your own process and its required fields, replacing email threads and spreadsheets. Build your first form in minutes, with no code. Choose field types, add conditional logic, start from a template, and reuse or clone a form for the next process. ![NGauge Forms data collection screen in Infoveave](https://cdn.infoveave.com/data-driven-apps/mega-image/Infoveave-NGauge.webp) ### Collect data and manage it, not just capture it NGauge Forms handles both last-mile data collection and ongoing data management. Authorized users can submit new records and, where permitted, view and update existing ones in the same app, including bulk or grid entry and attachments. Every form runs inside Infoveave's role-based access and audit controls. [See how access works](#governed-access) ![Governed records collected through NGauge Forms](https://cdn.infoveave.com/data-driven-apps/data-apps-governed-datasets/data-apps-governed-datasets.webp) ### Check records before they move on Run data quality rules against submitted data: not-null, value range, pattern, uniqueness and recent-data checks. A record that fails a mandatory check is returned for correction instead of moving on as if it were complete. [Explore Data Quality](/platform/data-quality) ![Infoveave data app connected to platform workflows](https://cdn.infoveave.com/data-driven-apps/mega-image/Infoveave-data-driven-app.webp) ### Link every form to a workflow Connect a form to workflow automation. When a request passes its checks, route it to the right reviewer, notify the people responsible and track outstanding actions. Failed checks go back to the team that fixes them. [Explore Data Automation](/platform/data-automation) ### See NGauge Forms with your own use case Book a personalized demo with the data experts. [Book a Demo](/book-a-demo?intent=platform&from=%2Fplatform%2Fdata-apps) Governed access ## One app, a different view for every role Putting several departments into one app should not mean showing everyone everything. Infoveave controls both what each user can see and what they can do. ### Role-based permissions Set fine-grained permissions at the application, module and feature level, with roles built around business responsibilities. Custom roles are available in the Enterprise version. ### Data-scoped visibility Admins share specific datasources with each user and apply dimension filters (for example, Store is Store 12), so restricted records are not retrieved at all. A store manager sees their store and a regional manager sees their region. ### Audit and version history Audit logs record user access to assets and every action performed. Version history covers user-entered data as well as queries and workflows. ### Example - Inventory exceptions app used by two roles The Store Manager for Store 12 sees 2 of 6 records, while the Regional Manager sees 3 of 6 across the North region, all from the same shared data. [See the full role-based access example](/resources/guide/role-based-access-control-data-apps)[See how access control works](/platform/data-governance) How it works ## From data foundation to a working app in six steps 1. 1 ### Connect and unify 50+ connectors bring source systems into one managed foundation, with built-in transformations that align records and definitions. 2. 2 ### Define quality rules Data quality profiles for the datasets the app will use, run on a schedule or inside a workflow. 3. 3 ### Set roles and access Roles, shared datasources and dimension filters: each user sees only the data their job needs. Reusable foundation: the same datasets, rules and roles can serve your next app, report or workflow Build the app 1. 4 ### Build Design the NGauge Form with field types, conditional logic and templates, with no code. 2. 5 ### Route Connect the form to a workflow so requests that pass their checks go to the right reviewer, and the people responsible are notified. 3. 6 ### Monitor Track failures, approvals, exceptions and outstanding actions as the app runs. 1. 1 ### Connect and unify 50+ connectors bring source systems into one managed foundation, with built-in transformations that align records and definitions. 2. 2 ### Define quality rules Data quality profiles for the datasets the app will use, run on a schedule or inside a workflow. 3. 3 ### Set roles and access Roles, shared datasources and dimension filters: each user sees only the data their job needs. Reusable foundation: the same datasets, rules and roles can serve your next app, report or workflow 4. 4 ### Build Design the NGauge Form with field types, conditional logic and templates, with no code. 5. 5 ### Route Connect the form to a workflow so requests that pass their checks go to the right reviewer, and the people responsible are notified. 6. 6 ### Monitor Track failures, approvals, exceptions and outstanding actions as the app runs. Example · Governed supplier onboarding app #### Collect An NGauge Form gives authorized users one place to submit supplier details and supporting business information. submit #### Validate Mandatory fields, identifiers, formats, duplicate and consistency checks. checks pass #### Route Workflow automation sends the request to the right reviewer, notifies users and tracks open actions. checks fail: record returned for correction 1. #### Collect An NGauge Form gives authorized users one place to submit supplier details and supporting business information. submit 2. #### Validate Mandatory fields, identifiers, formats, duplicate and consistency checks. checks pass 3. #### Route Workflow automation sends the request to the right reviewer, notifies users and tracks open actions. If checks fail, the record is returned to Collect for correction. Illustrative example. Permissions, approvals and write-back are configured and tested per implementation. Use cases ## Build once, govern once, reuse everywhere When every app is built on its own, validation rules get duplicated, access lists multiply and the same metric ends up with two definitions. Building on a shared data foundation lets common datasets, quality standards and access policies serve each new app. The same approach adapts to any process that needs controlled data collection and action. ### Supplier onboarding Collect, validate and approve supplier records before they reach procurement and finance. ### Inventory exception management Let store managers investigate stock discrepancies and request replenishment in one interface. ### Production quality reporting Record production exceptions and start corrective action from the plant floor. ### Expense approvals Route requests through delegated approvers with a clear audit trail. ### Service requests Capture requests with required fields and route them to the responsible team. In practice ## Data Apps in use One team edits forecasts in NGauge Forms. Another runs estimating on a shared calculation pattern. Both sit on governed data. NGauge Forms ### Inventory forecasting for a global electronics distributor Planners manage forecasts, pricing updates, and new model launches in NGauge Forms, without waiting on IT. Built-in validations keep entries accurate, and changes show across planning views in real time. SAP sales, purchase, inventory, and in-transit data sit in one planning platform. Improved forecast accuracy. Clearer on-hand and in-transit stock. Less spreadsheet planning. [Read the story](/resources/success-stories/supply-chain-electronics-distributor-inventory-forecasting) Governed data app ### An infrastructure estimating app An Australian infrastructure estimating application runs on Infoveave's Unified Data Platform: reference data served from governed tables, configurable calculation modules, timestamped saved runs, exports and role-based access tiers. 8 infrastructure categories on one calculation pattern, instead of a separate spreadsheet model per asset class. [Read the story](/resources/success-stories/infrastructure-estimating-australia) Book a personalized demo with the data experts. [Book a Demo](/book-a-demo?intent=platform&from=%2Fplatform%2Fdata-apps) Why Infoveave ## Most low-code tools build the interface. Infoveave builds it on trusted data. A form is easy to create. Keeping the data behind it validated, governed and reusable is the harder part, and it is built into the same platform as the app. Spreadsheets, generic form tools and one-off custom builds each handle that work differently. Infoveave's Data Apps include these capabilities. * ### Data validation before use Data quality rules run on submitted data before the app acts on the record. * ### Role and data-scoped access Roles plus dimension filters on shared datasources decide what each user can see and do. * ### Workflow after submit Workflows linked to NGauge Forms route requests, notify owners and track outstanding actions. * ### Audit and version history Audit logs and version history cover access, actions, queries, workflows and user-entered data. * ### Reuse across apps Shared datasets, rules and definitions serve the next app, report or workflow. * ### AI-Driven Recommendations Agentic AI that guides next-best actions with full operational context. Explore the platform ## Go deeper on each building block [Data QualityValidate, cleanse and monitor your dataRules, scoring and monitoring for the data behind your apps.Explore Data Quality](/platform/data-quality)[Data GovernanceControl who can access whatPolicies, catalogue, lineage and role-based access in one layer.Explore Data Governance](/platform/data-governance)[Data AutomationBuild, automate and control workflowsConnect 50+ sources and route work through automated pipelines.Explore Data Automation](/platform/data-automation)[FoveaAsk the data your apps collectFovea answers questions on the same governed data your Data Apps write and read.Explore Fovea](/platform/fovea-agentic-ai)[GuideBuilding domain applications on a unified data platformHow a governed data foundation supports your own application.Read the domain applications guide](/resources/blogs/building-domain-applications-unified-data-platform)[Use caseRetail customer care on OMS and CRM dataOne customer, three orders, one conversation: a Customer Care app built with NGauge Forms.Read the retail use case](/resources/blogs/retail-crm-oms-data-apps) ## Frequently Asked Questions ##### What is a Data App in Infoveave? ##### How does a Data App work in Infoveave? ##### Do I need to write code to build an app? ##### Can different users see different data in the same app? ##### Is there an audit trail? ##### Can suppliers or other external users submit data? ##### Does this make our data trustworthy automatically? ## Ready to build an app your business can trust? 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