METHOD PROCESS AND SYSTEM TO ATOMICALLY STRUCTURE VARIED DATA AND TRANSFORM INTO CONTEXT ASSOCIATED DATA
First Claim
1. A method of data management, comprising:
- recognizing of a natural structure of data present in a given environment as content data;
capturing the content data and a context of the content data and a relevant external data residing as at least one of an internal data and relevant external data;
running a layered asynchronous context enrichment software on a machine-readable medium on the content data, internal data and relevant external data present in the given environment to transform as an atomized grain;
evaluating and enriching the atomized grain based on a contextual content and adding value by correlating the atomized grain to create an atomized and correlated data;
segmenting the content data, relevant data and atomized and correlated data based on predefined rules for security and dividing them into a sensitive and non-sensitive data; and
storing the content data, relevant external data and atomized and correlated data, sensitive data and non-sensitive data in at least one of a same location and different location in a data storage.
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Abstract
A novel method, system and process for the enterprise software are described. The data is created, captured, ingested, stored, atomized, monitored, separated, analyzed, enriched, correlated, managed, automated, processed, isolated, secured and synthesized (for example published or automatically pushed to user). The data is recreated using automated contextual delivery methods and processes. This process enables a user to regulate the industry wide leading practices and constantly enrich data. Task allocation is automated. This SaaS and/or Cloud computing system may be installed and distributed across users'"'"' device, public cloud, behind a company'"'"'s firewall and/or additional security may be provided using privacy vault. This method, system and process for this software may be implemented on a machine readable media.
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Citations
20 Claims
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1. A method of data management, comprising:
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recognizing of a natural structure of data present in a given environment as content data; capturing the content data and a context of the content data and a relevant external data residing as at least one of an internal data and relevant external data; running a layered asynchronous context enrichment software on a machine-readable medium on the content data, internal data and relevant external data present in the given environment to transform as an atomized grain; evaluating and enriching the atomized grain based on a contextual content and adding value by correlating the atomized grain to create an atomized and correlated data; segmenting the content data, relevant data and atomized and correlated data based on predefined rules for security and dividing them into a sensitive and non-sensitive data; and storing the content data, relevant external data and atomized and correlated data, sensitive data and non-sensitive data in at least one of a same location and different location in a data storage. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method of data management, comprising:
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asymmetrically atomizing a content data using layered asynchronous context enrichment software on a machine-readable medium; correlating an atomized content data for enriching the content data; and updating the atomized content data for a user at an enterprise level as a new data. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A system for data management, comprising:
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a machine-readable media to run a layered asynchronous context enrichment software at multiple layers; a database to store a content data and value added data that was dynamically created; and a secure network to gather a content data, a internal data and an external data.
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Specification