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Underpinning all of these input data requirements are the vital aspects of data quality, governance, security, and privacy. The PDR must outline the necessary data quality standards and validation rules to ensure the integrity and reliability of the data feeding the solution.
Purpose of Input Data Requirement
Identify and catalog data sources by document all the internal and external data sources that will feed into the proposed solution and map out how data will be extracted, transformed, and integrated from these diverse data sources.
Specify data types and formats to define the various data types (e.g., numerical, textual, date/time) that the solution must be able to ingest and process and outline the expected data formats.
Assess data volume and velocity to estimate the anticipated volume of both historical and real-time data that the solution must be able to handle.
Ensure data quality and governance to establish the necessary data quality standards and validation rules to maintain the integrity and reliability of the input data.
Enable Effective Solution Delivery using comprehensive input data requirements to ensure the proposed solution can effectively fulfill its intended capabilities by having the right data inputs.
Key Components of Input Data Requirement
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