Organizational agility determination across multiple computing domains

US9613323B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9613323-B2
Application numberUS-201213344092-A
CountryUS
Kind codeB2
Filing dateJan 5, 2012
Priority dateJan 5, 2012
Publication dateApr 4, 2017
Grant dateApr 4, 2017

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

Embodiments of the present invention provide an approach for determining and/or enhancing an organization's agility across one or more computing domains. Among other things, embodiments of the present invention parse and mine organizational documents for relevant data, calculate and weight business agility scores, optimize domain elements to ensure optimal outcomes for customers, and/or provide organization agility information for transfer to consultants or the like. It is understood that these functions may be used independently or in conjunction with each other depending on the scope of improvement desired for a particular organization.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method for determining organizational agility of an organization across multiple computing domains, comprising: extracting, from one or more mail servers of the organization, a set of relevant historical organizational e-mail documents associated with an organization in a computer memory medium; fetching a set of electronic documents from an intranet of the organization via a web crawler; analyzing, by a computer system, the set of relevant historical organizational e-mail documents and the set of electronic documents by parsing the set of relevant historical organizational e-mail documents and the set of electronic documents for a set of keywords that is indicative of the organizational agility of the organization, each of the set of keywords having an associated score, the organizational agility based on an amount of governance within the organization; determining trends across disparate documents in the set of relevant historical organizational e-mail documents and the set of electronic documents combined with customer and enterprise insights mined from social media content using deep text and data analytics; calculating, by the computer system, a set of agility scores based on the trends and the analyzing of scores associated with the set of keywords using a set of agility computation rules, wherein a higher agility score is calculated in the case that the set of keywords indicate a lower amount of governance; weighting, by the computer system, the set of agility scores based on a geographic region associated with the organization; providing output based on the calculating and the weighting; and altering work tasks in a workload to an ordering that is optimal for the organization based on the weighted agility scores. 2. The computer-implemented method of claim 1 , further comprising determining, by the computer system, a set of actions to be taken based on the output. 3. The computer-implemented method of claim 1 , the analyzing further comprising determining a management structure of the organization based on the set of keywords to determine a number of hierarchical layers of the management structure, the set of agility scores being further based on the management structure, wherein a higher agility score is calculated in the case that the management structure has a lower number of hierarchical layers. 4. The computer-implemented method of claim 1 , further comprising identifying, by the computer system, one or more areas where information associated with the organization agility was lacking. 5. The computer-implemented method of claim 1 , the weighting of the set of agility scores being further based on: a set of industry vertical factors pertaining to a set of business needs of the organization, a size of the organization, and a competitive position associated with the organization. 6. The computer-implemented method of claim 1 , the output comprising a set of flagged documents that have an importance in the analyzing that exceeds a threshold; a set of legal documents, and a set of recommendations associated with the weighted set of agility scores. 7. A system for determining organizational agility of an organization across multiple computing domains, comprising: a memory medium comprising instructions; a bus coupled to the memory medium; and a processor coupled to the bus that when executing the instructions causes the system to: extract, from one or more mail servers of the organization, a set of relevant historical organizational e-mail documents associated with an organization in a computer memory medium; fetch a set of electronic documents from an intranet of the organization via a web crawler; analyze the set of relevant historical organizational e-mail documents and the set of electronic documents by parsing the set of relevant historical organizational e-mail documents and the set of electronic documents for a set of keywords that is indicative of the organizational agility of the organization, each of the set of keywords having an associated score, the organizational agility based on an amount of governance within the organization; determine trends across disparate documents in the set of relevant historical organizational e-mail documents and the set of electronic documents combined with customer and enterprise insights mined from social media content using deep text and data analytics; calculate a set of agility scores based on the analysis of scores associated with the set of keywords using a set of agility computation rules, wherein a higher agility score is calculated in the case that the set of keywords indicate a lower amount of governance; weight the set of agility scores based on a geographic region associated with the organization; provide output based on the calculation and the weighting; and alter work tasks in a workload to an ordering that is optimal for the organization based on the weighted agility scores. 8. The system of claim 7 , the memory medium further comprising instructions for causing the system to determine a set of actions to be taken based on the output. 9. The system of claim 7 , the memory medium further comprising instructions for causing the system to determine a management structure of the organization based on the set of keywords to determine a number of hierarchical layers of the management structure, the set of agility scores being further based on the management structure, wherein a higher agility score is calculated in the case that the management structure has a lower number of hierarchical layers. 10. The system of claim 7 , the memory medium further comprising instructions for causing the system to identify one or more areas where information associated with the organization agility was lacking. 11. The system of claim 7 , the weighting of the set of agility scores being further based on: a set of industry vertical factors pertaining to a set of business needs of the organization, a size of the organization, and a competitive position associated with the organization. 12. The system of claim 7 , the output comprising a set of flagged documents that have an importance in the analyzing that exceeds a threshold; a set of legal documents, and a set of recommendations associated with the weighted set of agility scores. 13. A system including a computer program product for determining organizational agility of an organization across multiple computing domains, the computer program product comprising a computer readable storage device, wherein the computer readable storage device is not a transitory signal, and program instructions stored on the computer readable storage media, causing the system to: extract, from one or more mail servers of the organization, a set of relevant historical organizational e-mail documents associated with an organization in a computer memory medium; fetch a set of electronic documents from an intranet of the organization via a web crawler; analyze the set of relevant historical organizational e-mail documents and the set of electronic documents by parsing the set of relevant historical organizational e-mail documents and the set of electronic documents for a set of keywords that is indicative of the organizational agility of the organization, each of the set of keywords having an associated score, the organizational agility based on an amount of governance within the organization; determine trends across disparate documents in the set of relevant historical organizational e-mail documents and the set of electronic documents combined with customer and enterprise insights mined from social media content using deep text and

Assignees

Inventors

Classifications

  • G06Q10/04Primary

    Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9613323B2 cover?
Embodiments of the present invention provide an approach for determining and/or enhancing an organization's agility across one or more computing domains. Among other things, embodiments of the present invention parse and mine organizational documents for relevant data, calculate and weight business agility scores, optimize domain elements to ensure optimal outcomes for customers, and/or provide…
Who is the assignee on this patent?
Antoun Samuel, Hamilton Ii Rick A, Holley Kerrie L, and 2 more
What technology area does this patent fall under?
Primary CPC classification G06Q10/04. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 04 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).