CN105874496A - Optimizing a consulting engagement - Google Patents
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- CN105874496A CN105874496A CN201380081899.8A CN201380081899A CN105874496A CN 105874496 A CN105874496 A CN 105874496A CN 201380081899 A CN201380081899 A CN 201380081899A CN 105874496 A CN105874496 A CN 105874496A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
Abstract
Optimizing a consulting engagement includes, with a processor, clustering a consulting engagement with a number of reference consulting engagement models based on similarities between the consulting engagement and the number of reference consulting engagement models, with the processor, presenting engagement procedures to a user for the consulting engagement, and, with the processor, determining the engagement procedures to be executed based on a regression analysis to optimize the consulting engagement.
Description
Background technology
Consulting engagement is used for helping the O&M of the information technology (IT) of tissue to pass through the problem for this tissue, purpose
The performance analyzing improvement business focus and coupling with target.By problem, purpose and the target to tissue
Analyzing, consulting engagement allows the overall IT process and services of this tissue of structure refinement.As a result of which it is, consulting engagement
Can be as a kind of mechanism improving IT process and services in tissue.
Accompanying drawing explanation
Accompanying drawing illustrates the various examples of principle described herein and is the part of description.Example is not
Limit the scope of claim.
Fig. 1 is according to principles described herein, for optimizing the figure of the example of the system of consulting engagement.
Fig. 2 is according to principles described herein, the figure of the example optimizing system.
The figure of the example that Fig. 3 clusters according to principles described herein, agreement and target.
Fig. 4 be an example according to principles described herein, for optimizing the example of the method for consulting engagement
Flow chart.
Fig. 5 be an example according to principles described herein, for optimizing the example of the method for consulting engagement
Flow chart.
Fig. 6 is according to principles described herein, the figure of the example optimizing system.
Fig. 7 is according to principles described herein, the figure of the example optimizing system.
In whole accompanying drawing, identical reference indicates similar but the most identical key element.
Detailed description of the invention
In order to designing and consuftng is arranged, the process and services of modelling tissue can be carried out with existing consulting engagement model.
Existing consulting engagement model can store in storage.In one example, user browses thesaurus to collect
Suitably information, carrys out designing and consuftng agreement based on existing consulting engagement model.
If user is unfamiliar with the information comprised in storage, then browses one and store the most greatly and widely
User is probably challenging by storehouse.May cause for official communication as a result of which it is, allow user to browse thesaurus
Ask the inconsistent and unoptimizable mode of agreement.Additionally, along with tissue and the development of technology, showing of tissue
The resource having consulting engagement model, the process and services of tissue and tissue may become out-of-date.As a result of which it is,
The result of consulting engagement based on out-of-date resource is possible to cause inaccurate or unaccommodated consulting engagement.
Principles described in this document includes the method for optimizing consulting engagement.This method includes: utilization processes
Device, arranges the similarity between model based on consulting engagement and multiple reference consultation, utilizes multiple reference consultation about
Determine Model tying consulting engagement；Utilize processor, agreement procedure is presented to the user of consulting engagement；And profit
With processor, determine pending agreement procedure based on regression analysis, to optimize consulting engagement.This method permits
Perhaps agreement procedure by matching the problem of tissue, purpose and target by agreement procedure, performs to seek advice from about user
Timing optimization consulting engagement.As a result of which it is, consulting engagement is optimized to improve in-house process and services.
Additionally, the method can include that the information updating consulting engagement is for following consulting engagement.To be more detailed below
Thin describes about the information more information for following consulting engagement updating consulting engagement.
In this specification and the appended claims, term " consulting engagement " means to be broadly interpreted as entirely
The consulting mechanism of portion's process and services, described process and services is fed to by IT O&M for the department in tissue
Its client internally and/or externally being used for managing tissue.In one example, IT O&M can include process and
The management of tissue, the vision of service, plan, design, realize, build, dispose, distribute, verify, install,
Instantiation, perform, safeguard, other IT O&M or combinations thereof.
In this specification and the appended claims, term " target " means to be broadly interpreted as in consulting engagement
The IT O&M of tissue is also matched the purpose of business focus, journey by the pending process and services improving tissue
Sequence and problem.In one example, target can include that the technique for tissue, realization are new for organize
Function, realization are for new procedures, other targets or the combinations thereof organized.
Additionally, as used in this specification and the appended claims, term " multiple " or similar language are anticipated
Taste and is broadly understood to include 1 to infinitely-great positive count；Zero is not numeral, but does not has numeral.
It will be apparent, however, that set forth a lot of specific detail, to provide native system
Comprehensive understanding with method.It may be evident, however, that for those skilled in the art, there is no these specific detail yet
This equipment, system and method can be implemented.Mention that " example " or similar language mean that combining this shows in the description
Specific feature, structure or characteristic described by example are comprised in described example, but may be not included in other
In example.
With reference now to accompanying drawing, Fig. 1 is according to principles described herein, for optimizing the system of consulting engagement
The figure of example.As will be described below, optimize system to be seeked advice from about to optimize with subscriber equipment communication by network
Fixed.Additionally, agreement procedure is used to the target by agreement procedure matches tissue, perform consulting user
About timing optimizes consulting engagement further.As a result of which it is, consulting engagement be optimized to improve in-house process and
Service.As by described in this manual, this realizes by utilizing cluster, artificial intelligence and learning art.
In one example, system (100) includes the subscriber equipment (102) with display (104).?
In this example, the user of subscriber equipment (102) is used to be connected to network (106).Additionally, subscriber equipment (102)
For Access Optimization system (108).In one example, system (108) is optimized from subscriber equipment (102)
Obtain core data, other data or the combinations thereof about tissue.
In one example, core data includes the consulting engagement history of client.Consistent with given example, its
His data include the culture of client, market position, whole world footprint, political basis and the matching of business parnter,
Industry that market trend, market rules, client match from global view, commercial object, business goal or it
Combination.Other parts in this specification are retouched by the more information about core data He other data
State.
System (100) farther includes optimization system (108).In one example, system (108) is optimized
Arrange the similarity between model based on consulting engagement and multiple reference consultation, utilize multiple reference consultation about cover half
Type cluster consulting engagement.Utilize about arranging the similarity between model based on consulting engagement and multiple reference consultation
The more information of multiple reference consultations agreement Model tying consulting engagement will be retouched the most in more detail
State.
Agreement procedure is presented to the user of consulting engagement by optimization system (108).In one example, can be via
Agreement procedure is presented to user by the display (104) on subscriber equipment (102).As will be in this specification
Other parts described by, agreement procedure can include arrange cluster, agreement procedure, target cluster or they
Combination.
Based on regression analysis, optimization system (108) further determines that pending agreement procedure is to optimize consulting engagement.
In one example, regression analysis could be for the statistic processes of assessment relation in the middle of variable.Work as focus
When pass between dependent variable and independent variable is fastened, regression analysis includes for modelling and analyzes several variablees
Multinomial technology.More specifically, when any one in independent variable changes, and other independent variables keep constant
Time, regression analysis contributes to making people understand how the value of dependent variable changes.More information about regression analysis will
Aft section in this specification is described.
Allow agreement procedure when user performs consulting engagement by arranging as a result of which it is, optimize system (108)
Procedure match to tissue target to optimize consulting engagement.Additionally, consulting engagement is optimized to improve in-house
Process and services.
Although this example with reference to the optimization system description that has been positioned on network, according to principles described herein, excellent
Change system can be located at any suitable position.Such as, optimization system can be located at subscriber equipment, server, data
Storehouse or combinations thereof.
Although describing this example with reference to the core data being positioned in subscriber equipment and other data, according to herein
The principle described, core data and other data can be located at any suitable position.Such as, core data and its
His data can be located at thesaurus, data base, server, optimization system or combinations thereof.
Fig. 2 is the figure of the example of the optimization system (200) according to principles described herein.As it has been described above, optimize
System (200) by agreement procedure matches the target of tissue, uses agreement when user performs consulting engagement
Program optimization consulting engagement.As a result of which it is, consulting engagement is optimized to improve in-house process and services.As
Will be described below, optimize system (200) and use cluster, artificial intelligence and learning art to optimize further
Consulting engagement.
In the figure 2 example, optimize system (200) to be filled with about user rs environment, application, industry, business
Target and the core data (202) of best practices management.It is filled with from this additionally, optimize system (200)
Other data (204) in a little sources, but be not limited to, have existing agreement history, client itself, social media,
The consultant of the experience of the Internet or combinations thereof and practitioner.Additionally, other data (204) include client
Culture, market position, whole world footprint, political basis and the matching of business parnter, market trend, IT
Industry that the trend of technology and progress, market rules, client match from global view, commercial object, business
Target or combinations thereof.In one example, core data (202) and the information of other data (204)
It can be user (the most experienced consultant and practitioner) template that similar consulting engagement is utilized.
Information from core data (202) and other data (204) is sent to mathematical engine (206).
In one example, mathematical engine (206) can include that mathematical function is to produce consulting engagement Clustering Engine (208).
In one example, consulting engagement Clustering Engine (208) can include such as consulting engagement (210), with reference to consulting
Ask agreement model (212) and the component of agreement cluster (214).
In one example, consulting engagement (210) is defined by suitable context and resource.Optimization system
(200) each consulting engagement is defined as the real vector of d dimension, and the most each dimension represents discrete consulting engagement attribute.
In order to make this mode effective, this method provides some motilities about context and the environment of each client,
Allow the quantitative difference at available information.For each consulting engagement, the real vector of d dimension is defined as:
A=[n ... n+d] (formula 1)
Wherein, A is that the d for each consulting engagement ties up real vector, and d is consulting engagement dimension, and n is for consulting
Ask the dimension of agreement.In one example, consulting engagement dimension includes attribute, such as business contexts, industry
Context, application context, information context and technically the most hereafter.Additionally, information based on consulting engagement and
Scope, the dimension of consulting engagement can be specific to user rs environment.In one example, optimize system (200) to lead to
Cross renewal engine (236) study and when suitable, increase additional consulting engagement dimension.
In one example, reference consultation agreement model (212) generally utilizes and uses and consulting engagement (210)
Similar workpiece, technology and process.But, optimize system (200) and arrange model by reference consultation further
(212) definition uses this premise.In one example, reference consultation agreement model can be considered based on context
The perfect condition consulting model of environment.Although most of consulting engagements will not mate this perfect condition completely, but
It is similar reference consultation agreement model based on pending consulting engagement, reference consultation agreement model similarity
Optimizing and be exceedingly useful in coupling workpiece, resource and process.
In one example, agreement cluster 214 uses the position of reference consultation agreement model as to current consulting
The real vector of the same dimension of the position of agreement, defines the barycenter that consulting engagement is clustered around it.As will be in this theory
Described by other parts of bright book, the K mean cluster function improved is used to realize cluster, wherein barycenter and k
Value is defined by type and the quantity of reference consultation agreement model.
Optimization system (200) uses target Clustering Engine (232) to create object module (220).Show at one
In example, object module (220) represents based on the consulting engagement in process and the attached form of their current data
And from historical data (218) relevant historical appointment data, pending such as purpose, problem and its
The target of his target.
In one example, based on treat consulted agreement solve similar target, based on but be not limited in history
Hereafter, similar consulting engagement will may use similar agreement procedure to perform consulting engagement.An example
In, optimize the system (200) the three-dimensional vector formation k mean cluster for abstract object to be solved.At this
In example, the three-dimensional vector of abstract object to be solved is defined as:
I=[Is Io Ir] (formula 2)
Wherein (Is) definition priority, (Io) offer context, and (Ir) represent based on the most successfully consulting
The historical results of agreement.
Optimization system (200) starts the consulting engagement target (224) wound together with the coupling of agreement procedure (226)
Build.In one example, agreement procedure (226) is used to perform the discrete computing of consulting engagement.Show at one
In example, agreement procedure is by being recently determined engine (238) location.In one example, engine (238) it is recently determined
Agreement procedure in the d dimension space of location, as the result of relation between given target cluster and given agreement cluster.
After optimization system (200) uses the regression analysis of auto-regressive analysis engine (222) to determine and set up
Continuous agreement procedure is as consulting engagement process, and described regression analysis engine (222) is admitted to agreement procedure and determines and draw
Hold up (226).Perform along with agreement and result engine (230) performs consulting engagement result, can
Via presenting engine (234), user is presented in output.Additionally, perform and result engine (228) from agreement
Output by update engine (236) capture.In one example, update engine (236) to use from agreement
Perform and the output of result engine (230) updates the information of consulting engagement for following consulting engagement.
As by described in other parts of this specification, updated the information of consulting engagement for following consulting engagement bag
Include: update workpiece, client feedback, internal social interaction, outside social media or combinations thereof.Additionally,
In this example, perform from agreement and the output of result engine (230) is stored as historical data
(218)。
Fig. 3 clusters the figure of the example of (300) according to principles described herein, agreement and target.As above institute
State, agreement procedure (agreement of such as consulting engagement (318) and target cluster (300)) is presented to user.
In one example, via display (318), agreement is presented to user with target cluster (300).Additionally,
Agreement and target cluster (300) can be presented in n space.In another example, agreement and target can be gathered
Class (300) is presented in another type of space.
In the example of fig. 3, agreement and target cluster (300) can include arranging cluster A (302) and set of conventions
Group B (304).In one example, model (312) is arranged based on consulting engagement (318) and multiple reference consultation
Between similarity, by utilize multiple reference consultation agreement model (312) cluster consulting engagement (318) come
Create agreement cluster A (302).Such as, the k mean cluster function improved is used to realize agreement cluster A (302)
Cluster, wherein barycenter A (308) and k value are defined by type and the quantity of reference consultation agreement model.One
In individual example, the cluster of consulting engagement provides the similarity of expectation consulting engagement, and optimization system uses this similarity
Identify that model is arranged in reference consultation.
Consistent with given example, agreement cluster A can include barycenter A (308).In this example, with reference to consulting
The position asking agreement model (312) is used as the real vector of same dimension of the position to consulting engagement (318), with
The barycenter A (308) that definition consulting engagement (318) is clustered around it.Additionally, agreement cluster A (302)
Example can be mirrored for arrange cluster B (304).Additionally, agreement cluster B (304) can include barycenter B
(310)。
As it has been described above, agreement and target cluster (300) can create target cluster (306).In one example,
Target cluster (306) is created by the similar target of cluster consulting engagement (318).Such as, similar
Consulting engagement will be potentially based on treats consulted agreement solve similar target, based on but be not limited to historical context,
Use similar agreement procedure to perform consulting engagement.In this example, system is optimized for be solved abstract
The three-dimensional vector of target forms traditional k mean cluster.In one example, vector can be formula 2.
Additionally, agreement and target cluster (300) can include multiple agreement procedure (316).Such as, agreement journey
Sequence one (316-1), agreement procedure two (316-2), agreement procedure three (316-3), agreement procedure four (316-4)
With agreement procedure five (316-5).In one example, agreement procedure (316) is used to perform consulting engagement (318)
Discrete computing.In this example, agreement procedure (316) is positioned in d dimension space, as given mesh
The knot of the agreement procedure relation between mark cluster (306) and agreement cluster (such as agreement cluster A (302))
Really.In one example, this is by using industry standard data and client's particular historical data to complete, with
Obtain the study aspect of optimization system.
Additionally, multiple program chains (314) are presented to user in agreement and target cluster (300).?
In one example, program chains (314) can represent with solid line.Additionally, program chains (314) will about
Determine cluster (302,310) and be linked to agreement procedure (316).Additionally, program chains (314) is by object set
Group (306) is linked to agreement procedure (316).Such as, program chains one (314-1) will agreement cluster A (302)
It is linked to agreement procedure one (316-1).Agreement procedure one (316-1) is linked by program chains two (314-2)
To agreement cluster B (310).Additionally, agreement cluster B (310) is linked to by program chains three (314-3)
Agreement procedure five (316-5).Finally, agreement procedure five (316-5) is linked by program chains four (314-4)
To target cluster (306).As a result of which it is, program chains linkage convention cluster, agreement procedure and target cluster,
Make agreement procedure can be performed to meet target cluster, thus optimize consulting engagement.
Fig. 4 be an example according to principles described herein, for optimizing the example of the method for consulting engagement
Flow chart.In this example, method (400) including: utilizes processor, based on consulting engagement and multiple ginseng
Examine the similarity between consulting engagement model, utilize multiple reference consultation to arrange Model tying (401) consulting engagement；
Utilize processor, agreement procedure is presented (402) user to consulting engagement；And utilize processor, based on
Regression analysis determines the agreement procedure that (403) are pending, to optimize consulting engagement.
As it has been described above, method (400) including: utilize processor, based on consulting engagement and multiple reference consultation about
Similarity between cover half type, utilizes multiple reference consultation to arrange Model tying (401) consulting engagement.At one
In example, using the k mean cluster function improved to realize cluster, wherein barycenter and K value are arranged by reference consultation
Type and the quantity of model define.In one example, the cluster of consulting engagement provides expectation consulting engagement
Similarity, optimization system uses this similarity to identify that model is arranged in reference consultation.
Method (400) farther includes: utilize processor, agreement procedure presents (402) to consulting engagement
User.In one example, the process that presents of agreement procedure performs and empty at physics in computer system
Perform between.In one example, via display, agreement procedure is presented to user.Additionally, can will arrange
Program is presented in n space.In another example, agreement procedure can be presented in another space.
As it has been described above, agreement procedure can include arranging cluster, consulting engagement, agreement procedure, target cluster, or
Combinations thereof.Additionally, agreement procedure can include program chains.In one example, program chains will agreement
Cluster, agreement procedure and object set group interlink so that agreement procedure can be performed to meet target cluster,
Thus optimize consulting engagement.
As it has been described above, method (400) farther includes: utilize processor, determine (403) based on regression analysis
Pending agreement procedure, to optimize consulting engagement.In one example, the most initial agreement procedure is by really
Determining and perform, regression analysis is just used for determining next agreement procedure.In one example, regression analysis can base
The current data of target, historical data or combinations thereof in consulting engagement.
Additionally, contribute to meeting be used as determining to the history success factor of the agreement procedure set the goal to be used
The mode of agreement procedure.In one example, close in agreement procedure to given target cluster and consulting engagement
In the determination of the threshold value of degree, optimization system is configurable.Such as, if the agreement procedure calculated does not falls
In specific threshold value, then this agreement procedure can effective probability be low, and therefore optimizing system will not use
This agreement procedure.In this example, it is necessary to make user and determine and this agreement procedure is taked adequate measures.
Additionally, along with agreement procedure is performed, for the effectiveness to the agreement procedure of stable condition, target can be collected.
Fig. 5 be an example according to principles described herein, for optimizing the example of the method for consulting engagement
Flow chart.In this example, method (500) including: based on consulting engagement and multiple reference consultation about cover half
Similarity between type, utilizes multiple reference consultation to arrange Model tying (501) consulting engagement；Cluster (502)
The target of consulting engagement；Agreement procedure is presented (503) user to consulting engagement；Determine that (504) seek advice from
The nearest target of agreement, recently agreement cluster or combinations thereof；Determine that (505) are pending based on regression analysis
Agreement procedure to optimize consulting engagement；And update the information of (506) consulting engagement for following consulting about
Fixed.Additionally, in the method (500) of Fig. 5, processor can be used to perform each program.
As it has been described above, method (500) including: the target of cluster (502) consulting engagement.In one example,
Target cluster is created by the similar target of cluster consulting engagement.Such as, similar consulting engagement may
Based on treat consulted agreement solve similar target, based on but be not limited to historical context, use similar pact
Determine program to perform consulting engagement.In this example, optimize system for abstract object to be solved three-dimensional to
Amount forms traditional k mean cluster.In one example, vector can be formula 2.Additionally, in n space
Target cluster include how to meet from previous consulting engagement and or solve target and in current consulting about
The data of target how are processed in Ding.
As it has been described above, method (500) farther includes: determine the nearest target, of (504) consulting engagement
Nearly agreement cluster or combinations thereof.In one example, by optimizing system by agreement cluster and object set
The identification of the k-arest neighbors agreement procedure of the barycenter of group determines pending nearest agreement procedure.An example
In, k-arest neighbors can be k=3.In another example, k-arest neighbors can be k=5.
As it has been described above, method (500) including: update the information of (506) consulting engagement for following consulting
Agreement.In one example, along with agreement procedure is performed, for the effectiveness to the agreement procedure of stable condition,
Collect the information of target.Additionally, the target cluster information relating to meeting the target of consulting engagement is to hold based on result
Continuous renewal.
Fig. 6 is according to principles described herein, the figure of the example optimizing system.Optimization system (600) includes
Consulting engagement Clustering Engine (602), present engine (604) and agreement procedure determines engine (606).At this
In example, optimize system (600) also include target Clustering Engine (608), be recently determined engine (610) and
Update engine (612).Engine (602,604,606,608,610,612) refers to for performing the merit specified
The hardware of energy and the combination of programmed instruction.Each in engine (602,604,606,608,610,612)
Processor and memorizer can be included.Programmed instruction stores in memory and makes the appointment merit of processor enforcement engine
Energy.
Consulting engagement Clustering Engine (602) based on consulting engagement and multiple reference consultation arrange between model similar
Property, utilize multiple reference consultation to arrange Model tying consulting engagement.In one example, consulting engagement cluster is drawn
Hold up (602) and an agreement cluster can be created.In another example, consulting engagement Clustering Engine (602) can be created
Build multiple agreement cluster.
Present engine (604) and agreement procedure is presented to the user of consulting engagement.In one example, can be at n
Agreement procedure is presented to user by space.In another example, in another space, agreement procedure can be presented
To user.
Agreement procedure determines that engine (606) determines pending agreement procedure based on regression analysis, to optimize consulting
Agreement.In one example, agreement procedure determine engine (606) based on regression analysis determine one pending
Agreement procedure.In another example, agreement procedure determines based on regression analysis, engine (606) determines that multiple waiting is held
The agreement procedure of row.
The target of target Clustering Engine (608) cluster consulting engagement.In one example, target Clustering Engine (608)
One target to be met of cluster consulting engagement.In another example, target Clustering Engine (608) cluster is consulted
Ask the target multiple to be met of agreement.
It is recently determined engine (610) and determines the nearest target of consulting engagement, recently agreement cluster or combinations thereof.
In one example, be recently determined engine (610) determine consulting engagement multiple nearest target, multiple the most about
Determine cluster or combinations thereof.
Update engine (612) and update the information of consulting engagement for following consulting engagement.In one example,
Update engine (612) and update workpiece, client feedback, internal social interaction, outside social media or their group
Close.
Fig. 7 is according to principles described herein, the figure of the example of optimization system (700).In this example,
Optimization system (700) includes the process resource (702) communicated with memory resource (704).Process resource (702)
Including at least one processor with for processing other resources of programming instruction.Memory resource (704) generally generation
Table can store arbitrarily depositing of data (the such as programming instruction or data structure) that used by optimization system (700)
Reservoir.The shown programming instruction being stored in memory resource (704) includes: consulting engagement cluster device (706),
Reference consultation agreement Model tying device (708), target cluster device (710), agreement procedure renderer (712),
Recently targeter (714), recently agreement cluster determiner (716), regression analysis executor (718),
Agreement procedure determiner (720), agreement procedure executor (722) and consulting engagement information updating device (724).
Memory resource (704) includes that computer-readable recording medium, described computer-readable recording medium comprise
Make task be processed computer readable program code that resource (702) performs.Computer-readable recording medium is permissible
It is tangible media and/or physical storage medium.Computer-readable recording medium can be any suitable storage
Medium, described storage medium is not transmission storage medium.The non-exhaustive list of computer-readable recording medium type
Including: nonvolatile memory, volatile memory, random access memory, write only memory, flash memory,
Electrically Erasable Read Only Memory, various types of memory or combinations thereof.
Consulting engagement cluster device (706) represents and makes process resource (702) cluster consulting engagement upon being performed
Programming instruction.Reference consultation agreement Model tying device (708) represents and makes process resource (702) upon being performed
The programming instruction of cluster reference consultation agreement model.Target cluster device (710) represents and makes process provide upon being performed
The programming instruction of source (702) cluster target.Agreement procedure renderer (712) represents and makes process upon being performed
Agreement procedure is presented to the programming instruction of user by resource (702).Targeter (714) represents and works as recently
Process resource (702) is made to determine the programming instruction of nearest target when being performed.Agreement cluster determiner (716) recently
Represent and make process resource (702) determine the programming instruction arranging cluster recently upon being performed.
Regression analysis executor (718) represents and makes process resource (702) execution regression analysis upon being performed
Determine the programming instruction of pending agreement procedure.Agreement procedure determiner (720) represents and makes place upon being performed
Reason resource (702) determines the programming instruction of agreement procedure.Agreement procedure executor (722) represents when being performed
Time make process resource (702) perform agreement procedure programming instruction.Consulting engagement information updating device (724) generation
Table makes the programming instruction of the information of process resource (702) renewal consulting engagement upon being performed.
Additionally, memory resource (704) can be a part for installation kit.In response to installing installation kit, can be from
The source (such as portable medium, server, remote network location, another location or combinations thereof) of installation kit
Download the programming instruction of memory resource (704).The portable memory medium compatible with principles described herein
Including: DVD, CD, flash memory, portable disk, disk, CD, the pocket memory of other forms,
Or combinations thereof.In other examples, programmed instruction has been installed.Here, memory resource can include collection
Become memorizer, such as hard disk drive, solid-state hard drive etc..In some instances, resource (702) is processed
It is positioned at Same Physical parts, such as server or network components with memory resource (704).Memory resource
(704) can be the main storage of physical unit, cache memory, depositor, nonvolatile memory
A part, or other places in the memory hierarchy of physical unit.Alternatively, memory resource (704)
Can be communicated with processing resource (702) by network.Additionally, although programming instruction is located locally, can pass through network
Connect from remote location access data structure, such as storehouse.Therefore, can on a user device, on the server,
Close in server set or in combinations thereof, realize optimization system (700).
The optimization system (700) of Fig. 7 can be a part for general purpose computer.But, in interchangeable example
In, optimize the part that system (700) is special IC.
The example for the described principle of explaination and description described above presented.This description is not intended as limit
Property or limit these principles to the most disclosed any precise forms.In view of above-mentioned teaching, multiple amendment and change
Type is possible.
Claims (15)
1., for the method optimizing consulting engagement, described method includes:
Utilize processor, arrange the similarity between model based on consulting engagement and multiple reference consultation, utilize described many
Consulting engagement described in individual reference consultation agreement Model tying；
Utilize described processor, agreement procedure is presented to the user of described consulting engagement；And
Utilize described processor, determine pending described agreement procedure based on regression analysis, to optimize described consulting about
Fixed.
Method the most according to claim 1, wherein, described regression analysis target based on described consulting engagement
Current data, historical data or combinations thereof.
Method the most according to claim 1, wherein, seeks advice from based on described in described reference consultation agreement Model tying
Agreement includes: obtain core data, other data or combinations thereof；
Wherein, described core data includes the consulting engagement history of client；And
Wherein, other data described include the culture of described client, market position, the whole world footprint, political basis and
Industry that the matching of business parnter, market trend, market rules, described client match from global view, business
Purpose, business goal or combinations thereof.
Method the most according to claim 1, farther includes: cluster the target of described consulting engagement.
Method the most according to claim 1, wherein, determines pending described agreement based on described regression analysis
Program farther includes to optimize described consulting engagement: determines the nearest target of described consulting engagement, arrange cluster recently
Or combinations thereof.
Method the most according to claim 1, farther includes: update the information of described consulting engagement for future
Consulting engagement.
Method the most according to claim 6, wherein, updates the information of described consulting engagement for following consulting
Agreement includes: update workpiece, client feedback, internal social interaction, outside social media or combinations thereof.
8., for optimizing a system for consulting engagement, described system includes:
Processor；And
Being connected to the memorizer of described processor, wherein, described memorizer includes:
Consulting engagement Clustering Engine, similar for arrange between model based on consulting engagement and multiple reference consultation
Property, utilize consulting engagement described in the plurality of reference consultation agreement Model tying；
Target Clustering Engine, for clustering the target of described consulting engagement；
Present engine, for agreement procedure being presented to the user of described consulting engagement；
Agreement procedure determines engine, for determining pending described agreement procedure based on regression analysis, to optimize
Described consulting engagement；
Wherein, the current data of described regression analysis target based on described consulting engagement and historical data；And
Update engine, for updating the information of described consulting engagement for following consulting engagement.
System the most according to claim 8, wherein, seeks advice from based on described in described reference consultation agreement Model tying
Agreement includes: obtain core data, other data or combinations thereof；
Wherein, described core data includes the consulting engagement history of client；And
Wherein, other data described include the culture of described client, market position, the whole world footprint, political basis and
Industry that the matching of business parnter, market trend, market rules, described client match from global view, business
Purpose, business goal or combinations thereof.
System the most according to claim 8, wherein, determines pending described agreement journey based on regression analysis
Sequence farther includes to optimize described consulting engagement: determine nearest target.
11. systems according to claim 8, wherein, determine pending described agreement journey based on regression analysis
Sequence farther includes to optimize described consulting engagement: determines and arranges cluster recently.
12. systems according to claim 8, wherein, update the information of described consulting engagement for following official communication
Inquiry agreement includes: update workpiece, client feedback, internal social interaction, outside social media or combinations thereof.
13. 1 kinds of computer programs being used for optimizing consulting engagement, including:
Tangible computer readable storage medium storing program for executing, described tangible computer readable storage medium storing program for executing is included therein the calculating of embodiment
Machine readable program code, described computer readable program code includes programmed instruction, when described programmed instruction is performed,
Make processor:
Arrange the similarity between model based on consulting engagement and multiple reference consultation, utilize the plurality of with reference to consulting
Ask consulting engagement described in agreement Model tying；
Cluster the target of described consulting engagement；And
Determine that pending agreement procedure is to optimize described consulting engagement based on regression analysis.
14. products according to claim 13, farther include: make described processor by described upon being performed
Agreement procedure presents to the programmed instruction of the user of described consulting engagement.
15. products according to claim 13, farther include: make described update processor institute upon being performed
State the information programmed instruction for following consulting engagement of consulting engagement.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/US2013/067104 WO2015065319A1 (en) | 2013-10-28 | 2013-10-28 | Optimizing a consulting engagement |
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| CN105874496A true CN105874496A (en) | 2016-08-17 |
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| CN201380081899.8A Pending CN105874496A (en) | 2013-10-28 | 2013-10-28 | Optimizing a consulting engagement |
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| EP (1) | EP3063719A4 (en) |
| CN (1) | CN105874496A (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101147169A (en) * | 2004-12-21 | 2008-03-19 | 西特尔私人有限公司 | Change management |
| US20080126312A1 (en) * | 2006-11-29 | 2008-05-29 | American Express Travel Related Services Company, Inc. | System and method for managing simulation models |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20040068429A1 (en) * | 2001-10-02 | 2004-04-08 | Macdonald Ian D | Strategic organization plan development and information present system and method |
| US20050096950A1 (en) * | 2003-10-29 | 2005-05-05 | Caplan Scott M. | Method and apparatus for creating and evaluating strategies |
| KR20090049655A (en) * | 2007-11-14 | 2009-05-19 | 박은수 | Integrated information management method of a company |
| US8510152B1 (en) * | 2009-05-14 | 2013-08-13 | Accenture Global Services Limited | System for capability assessment and development |
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2013
- 2013-10-28 WO PCT/US2013/067104 patent/WO2015065319A1/en active Application Filing
- 2013-10-28 CN CN201380081899.8A patent/CN105874496A/en active Pending
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101147169A (en) * | 2004-12-21 | 2008-03-19 | 西特尔私人有限公司 | Change management |
| US20080126312A1 (en) * | 2006-11-29 | 2008-05-29 | American Express Travel Related Services Company, Inc. | System and method for managing simulation models |
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| Publication number | Publication date |
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| WO2015065319A1 (en) | 2015-05-07 |
| EP3063719A4 (en) | 2017-06-14 |
| EP3063719A1 (en) | 2016-09-07 |
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