AUTOMATED SYSTEM AND METHOD OF DATA SCRUBBING
First Claim
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1. A computer implemented method for performing data scrubbing at attribute level, comprising:
- receiving data containing at least one significant or non significant attribute and associated values from distributed data sources, the sources being assigned weight against each of the attribute value; and
applying a ranking matrix process to the received data, the ranking process comprising;
for sources referring to different values for the same attribute, computing a combined weight therefrom;
in response to the combined weight of the significant attribute exceeding a predetermined promotion threshold value, determining if said combined weight exceeds a predetermined confirmation threshold value,in response to the combined weight of the non significant attribute exceeding the promotion threshold value, promoting the non significant attribute to a final templated copy;
in response to the combined weight of the significant or non significant being less than the confirmation threshold value, computing a total weight of all values for the attribute from all sources; and
in response to the total weight exceeding a predetermined task threshold, raising a work item for a user to create a manual source and reapplying the ranking matrix process.
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Abstract
A system and method enabling automated data cleansing and scrubbing at the attribute level is disclosed. A consolidated view may be provided of the scrubbed data or narratives that gets promoted to a final copy and the data or narratives received from multiple sources on a single user interface.
44 Citations
17 Claims
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1. A computer implemented method for performing data scrubbing at attribute level, comprising:
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receiving data containing at least one significant or non significant attribute and associated values from distributed data sources, the sources being assigned weight against each of the attribute value; and applying a ranking matrix process to the received data, the ranking process comprising; for sources referring to different values for the same attribute, computing a combined weight therefrom; in response to the combined weight of the significant attribute exceeding a predetermined promotion threshold value, determining if said combined weight exceeds a predetermined confirmation threshold value, in response to the combined weight of the non significant attribute exceeding the promotion threshold value, promoting the non significant attribute to a final templated copy; in response to the combined weight of the significant or non significant being less than the confirmation threshold value, computing a total weight of all values for the attribute from all sources; and in response to the total weight exceeding a predetermined task threshold, raising a work item for a user to create a manual source and reapplying the ranking matrix process. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for performing data scrubbing, comprising:
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a hardware processor; and a memory storing instructions, wherein the hardware processor is configured by the instructions to; provide an input interface configured to receive, for an event, data containing at least one significant or non significant attribute and associated values from distributed data sources; apply a ranking matrix process for determining attribute values to be promoted to final templated copy based upon a combination of predefined ranking attribute rule and source weighting rule; and displaying the final templated copy along with the data received from the distributed sources, the graphical interface including a summary section to display key attributes of the event and a main section to display source headings, attribute headings, final templated copy and incoming data, and a toolbar section adapted to perform plurality of icon-based operations responsive to the summary and main section. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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Specification