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Prescience measures documentation completion to make it easy for users to plan and prioritize their work. This means users are in control and avoid the pain of managing documentation manually.
This is almost impossible when relying on pen and paper. Even with Word or Excel it can be difficult as users often corrupt data unintendedly.
Prescience prevents users from saving invalid data and provides feedback letting users know why their input is invalid. Similarly, dropdrown input controls ensures that users select their input from a valid list of answers instead of letting them provide free text answers.
As a result users provide correct data the first time. Ultimately, this reduces errors, ease data cleansing and improve overall data quality.
This provides immediate evaluation and allow users to spot obvious typos and, more importantly, help users identify defective components.
This is key to enable swift rework, easier root cause analysis and reduces indirect costs incurred by passing defective parts down the value stream.
As-built documenation requirements are customer specific. This is why Prescience is designed to be customizable, flexible and fast to implement. As a result, new as-built forms can be designed and published in minutes.
Each as-built form is structured into groups of data points. Likewise, each data point can be configured to specify input control type, help text, input options, input validation and pass/fail criteria.
Normally, as-built documentation serves to certify individual components. However, we understand the value of “big” data and we believe your as-built data can serve multiple purposes, for example:
Push production plans to suppliers and track their production execution.
Capture supplier capacities and analyse overall capacity availability.
Digital quality checklists that provide accountability and audit trail.
Plan and manage inbound raw material deliveries.
Manage finished goods inventories and measure inventory levels.
Plan and manage outbound shipments of finished goods.
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