Digitize your as-built documentation workflows to reduce manual data management and take cost out of the as-built documentation process.
Meeting as-built documentation requirements with pen and paper is both painful and expensive.
What if there was a better way?
Prescience improves data management to make the as-built documentation process lean and efficient.
Here are a few examples where Prescience can streamline as-built documentation:
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Prescience measures as-built documentation progress to highlight where data is missing.
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.
Prescience validates input to reduce documentation errors and improve overall data quality.
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.
Prescience evaluates input instantly based on pass/fail criteria to detect non-conformities ealier.
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.
You have the as-built use case, we have the toolbox and infrastructure to make it happen.
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.
Prescience allows you to analyze as-built data at scale, using your preferred data analysis tool.
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:
With an API Key you can access the as-built data with your existing business intelligence solution. This means that you can merge data with other data sources and build your own custom reports.
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