DataFrame™ Forms
Field and Office-based Electronic Forms for Pipeline Maintenance
DataFrame Forms, a workflow-driven form entry and management system, allows your field and office users to collect and enter complex data such as inspection reports, patrol reports and incident reports. Data collection is straightforward through an easy-to-use interface that improves data accuracy and consistency. Once collected, data is passed through a rigorous approval process then published to the integrated enterprise database. The highly integrated nature of DataFrame Forms makes it perfect for organizations that want a solid, repeatable process for the collection of data that eliminates the errors that can occur in traditional processes.
Workflow-driven Validation
DataFrame Forms offers complete control over the level of validation used to check forms, allowing business processes to enhance data quality. If the form is being entered by a field engineer, the level of validation might prevent them from entering invalid data, such as out-of-range test readings. However, if the data entry is from a historical paper form, the level of validation might be reduced to accommodate actual entries on those documents, which will be reviewed and validated by skilled personnel further down the workflow.
Combined online/offline Environment
Whether you are in the office or in the field, DataFrame Forms can be used to capture important data in a familiar environment. Fill in forms in a field environment, directly capturing information digitally. Forms are then synchronized to the office. Alternatively, digital forms can be entered from traditional hand-written paper documents by uploading the scanned forms, then entering the data into a digital version of the historical form. However the data is captured, the information becomes available to update the pipeline database and ensure that field observations and activities are properly taken into account through the decision making process.
Template-based Forms Library
Template-based forms ensure that the system remains flexible in supporting a wide range of different form types, and makes the system flexible as individual forms evolve as business needs change.
Task-driven Workflows
Integration into human and system activities is uncomplicated with task-driven workflows. Workflows for the form are easily configured to define how a form will move through the approval process. Decision points can be set to redirect forms that meet defined criteria or that have certain types of validation errors.
Approval-based publishing
The approval process that DataFrame Forms provides ensures that field managers review and approve appropriate forms. The approval process is flexible enough to allow the same form to take multiple paths through the approval process based on what data is entered. For example, an extreme test reading might flag the form for review and approval by a specialist engineer, whereas a test reading in an acceptable range might simply move the form to the archive for use in later analyses.
Integrated Business Intelligence
With DataFrame Forms, real-time calculation and validation assure that users fill out the forms completely and accurately. This minimizes the chance for invalid entries, improving data accuracy and consistency. Completion time of forms is also minimized through the use of pre-populated data fields and auto-complete fields, reducing the need for users to re-enter data that already exists.
