The present invention relates to determination of performance problems within an
organization and preventative measures to avoid such determined problems
therein.
5 BACKGROUND
Permanent/temporary termination of an employee in an organization has turned
into the toughest challenge for our industrie’s face today. While the impact on
employees is obvious, the corporate world suffers from a negative brand image as
well. This is now becoming a common phenomenon for the reasons due to cost
10 cutting, reducing redundancies in as is condition or after a merger or acquisition,
and restructuring events due to changes in the industry, technologies (Up-skilling,
Re-skilling, Cross Skilling, emerging of New Generation Technologies), skill mismatch,
etc. However, on the other hand hiring the right talent and onboarding at the right
time at an optimized cost is another challenge in itself for the organization.
15 Therefore, need arises to provide a platform so that organizations can get the access
to the skilled resource pool for deployment as and when needed without affecting
the organization’s health and assets.
SUMMARY
The following presents a simplified summary of the subject matter in order to
20 provide a basic understanding of some aspects of subject matter embodiments. This
summary is not an extensive overview of the subject matter. It is not intended to
identify key/critical elements of the embodiments or to delineate the scope of the
subject matter.
3
Its sole purpose is to present some concepts of the subject matter in a simplified
form as a prelude to the more detailed description that is presented later.
It is therefore a primary objective of this invention to predict the performance of
individuals within an organization and prevent a cause that is not only likely to affect
5 the growth of the individuals but also the corporate health (productivity, efficiency,
profitability, revenue, scalability, quality, Go-To-Market strategies, etc.) and assets.
The present disclosure provides a method and system for determining individual
performance within an organization to recommend a set of features pertaining to
the skills of each of the plurality of individuals. One aspect of the present disclosure
10 relates to a method for determining individual performance in an organization. The
method comprises aggregating, by a Processor, a set of information associated with
a plurality of individuals within the organization. Next, the method comprises
categorizing, by the Processor, the aggregated set of information based on a set of
pre-defined static attributes. Next, the method comprises determining, by the
15 Processor, a performance of each of the plurality of individuals in the organization
based on the set of pre-defined static attributes. Next, the method comprises
recommending, by an Output Unit, a set of features pertaining to the skills of each
of the plurality of individuals based on the performance of each of the plurality of
individuals.
20 Another aspect of the present disclosure relates to a system for determining
individual performance within an organization. The system is a Processor. The
Processor is configured to aggregate a set of information associated with a plurality
of individuals in an organization. Next, the Processor is configured to categorize the
aggregated set of information based on a set of pre-defined static attributes. Next,
25 the Processor is configured to determine performance of each of the plurality of
individuals within the organization based on the set of pre-defined static attributes.
4
Next, the Output Unit is connected to the Processor and is configured to
recommend a set of features pertaining to the skills of each of the plurality of
individuals based on the performance of each of the plurality of individuals.
Yet another non-limiting objective of this invention is to provide a process and a
5 platform for optimizing human resource centric operating costs across industry
sectors by evolving a centralized virtual resource pool for industry/domain-based
corporates. The process and the platform includes, but are not limited to,
employment transfer of benched human resources or employees, i.e., human
resources or employees not directly contributing to the health and assets for and of
10 the corporates or their Re-Skilling, Up-Skilling & Cross Skilling (RUC). This ensures
skilled talent for the respective organizations is always updated and relevant.
These and other objects, embodiments and advantages of the present invention will
become readily apparent to those skilled in the art from the following detailed
description of the embodiments having reference to the attached figures, the
15 invention not being limited to any particular embodiments disclosed.
BRIEF DESCRIPTION OF THE DRAWINGS
The foregoing and further objects, features and advantages of the present subject
matter will become apparent from the following description of exemplary
embodiments with reference to the accompanying drawings, wherein like numerals
20 are used to represent like elements.
It is to be noted, however, that the appended drawings along with the reference
numerals illustrate only typical embodiments of the present subject matter, and are
therefore, not to be considered for limiting of its scope, for the subject matter may
admit to other equally effective embodiments.
5
Figure 1 illustrates a system in which the present invention is implemented
according to a first embodiment.
Figure 2 illustrates a flow chart to carry out a first process according to the first
embodiment of the present invention.
5 Figure 3 illustrates a hardware architecture for implementation of the present
invention according to an embodiment of the present invention.
The foregoing shall be more apparent from the following more detailed description
of the disclosure.
DETAILED DESCRIPTION
10 Exemplary embodiments now will be described with reference to the accompanying
drawings. The disclosure may, however, be embodied in many different forms and
should not be construed as limited to the embodiments set forth herein; rather,
these embodiments are provided so that this disclosure will be thorough and
complete, and will fully convey its scope to those skilled in the art. The terminology
15 used in the detailed description of the particular exemplary embodiments
illustrated in the accompanying drawings is not intended to be limiting. In the
drawings, like numbers refer to like elements.
It is to be noted, however, that the reference numerals used herein illustrate only
typical embodiments of the present subject matter, and are therefore, not to be
20 considered for limiting of its scope, for the subject matter may admit to other
equally effective embodiments.
The specification may refer to “an”, “one” or “some” embodiment(s) in several
locations. This does not necessarily imply that each such reference is to the same
6
embodiment(s), or that the feature only applies to a single embodiment. Single
features of different embodiments may also be combined to provide other
embodiments.
As used herein, the singular forms “a”, “an” and “the” are intended to include the
5 plural forms as well, unless expressly stated otherwise. It will be further understood
that the terms “includes”, “comprises”, “including” and/or “comprising” when used
in this specification, specify the presence of stated features, integers, steps,
operations, elements, and/or components, but do not preclude the presence or
addition of one or more other features, integers, steps, operations, elements,
10 components, and/or groups thereof. It will be understood that when an element is
referred to as being “connected” or “coupled” to another element, it can be directly
connected or coupled to the other element or intervening elements may be
present. Furthermore, “connected” or “coupled” as used herein may include
operatively connected or coupled. As used herein, the term “and/or” includes any
15 and all combinations and arrangements of one or more of the associated listed
items.
Unless otherwise defined, all terms (including technical and scientific terms) used
herein have the same meaning as commonly understood by one of ordinary skill in
the art to which this disclosure pertains. It will be further understood that terms,
20 such as those defined in commonly used dictionaries, should be interpreted as
having a meaning that is consistent with their meaning in the context of the
relevant art and will not be interpreted in an idealized or overly formal sense unless
expressly so defined herein.
The figures depict a simplified structure only showing some elements and functional
25 entities, all being logical units whose implementation may differ from what is
shown. The connections shown are logical connections; the actual physical
7
connections may be different. It is apparent to a person skilled in the art that the
structure may also comprise other functions and structures.
Also, all logical units described and depicted in the figures include the software
and/or hardware components required for the unit to function. Further, each unit
5 may comprise within itself one or more components which are implicitly understood.
These components may be operatively coupled to each other and be configured to
communicate with each other to perform the function of the said unit.
Furthermore, the particular features, structures, or characteristics may be combined
in any suitable manner in one or more embodiments. Furthermore, depending on
10 the context of discussion herein, a singular term may include its plural forms and a
plural term may include its singular form. For example, the term “master entity”
relates to the organization where one or more working individuals are placed and
the term “slave entity” used herein refers to an organization from where
recommendation offers are received by the one or more working individuals. A
15 master entity may comprise organizations including, but not limited to, business
entities, incorporation or the like and the slave entity may comprise organizations
including, but not limited to, academic /training institutions, schools or the like. Also,
plural terms may be indicated with or without an apostrophe (e.g., CC's or CCs). Such
occasional interchangeable uses shall not be considered inconsistent with each
20 other.
Figure 1 illustrates a system [100] in which the present invention is implemented.
The system [100] comprises a database [105] and a processor [110] communicatively
coupled with the database [105] and an Output Unit [130]. It should be understood
that the database [105] and the processor [110] may be physically separated from
25 each other or may be embedded together when in operation. The system [100] may
be in a network environment along with its all other components such as the
8
database [105], the processor [110], and the Output Unit [130]. On the other hand,
the components of the system [100] such as the database [105], the processor [110],
and the Output Unit [130] may be in communication with each of them via separate
network interface (not shown). The network interfaces may be network interface
5 cards, switches or routers, Fiber Channel transceivers, InfiniBand-enabled devices, or
other devices programmed to transmit and receive messages according to
standardized data network protocols. These protocols may include but are not
limited to Ethernet for a media access control (MAC) layer, Internet Protocol (IP) for
a network layer, and/or User Datagram Protocol (UDP) or Transmission Control
10 Protocol (TCP) for a transport layer and/or any technology and/or protocol(s) which
enables such a communication.
The database [105] may at least have information about an organization, a plurality
of individuals in relation with the organization and interaction of the plurality of
individuals with the organization. The information about the organization may be,
15 but not limited to, demographic details of the organization, historical information of
the organization, business/revenue information of the organization, number of
individuals associated with the organization, skill/performance of the associated
individuals etc. Further, the information about each of the plurality of individuals
may be, but not limited to, education, industry, nationality, gender, location, skill,
20 experience, technology area, income etc. The information of the interaction of the
individual with the organization may be, but not limited to, date and time of the
interaction, location of interaction, type of interaction etc.
In operation, aggregated data present in the database [105] is extracted and
analyzed by the processor [110] based on a set of communications between the
25 organization and the individuals associated with the enterprise and/or a corporate.
This aggregated data may include, but not limited to, time of availability of an
individual at a particular location, transmit time, demographic details and any other
9
relevant metadata. Further, the processor [110] is configured to divide the
aggregated data based on a set of pre-defined static attributes. These static
attributes are calculated based on how the respective individuals dealt with
allocated assignments during a particular time. Such static attributes may include,
5 but not limited to, scale of performance, approachability of the individual etc.
Accordingly, the processor [110] is configured to determine performance of the
individual. Further, a set of features pertaining to the skills of the individual of the
organization is recommended and this can help in preventing decline of performance
of the individual when associated with the organization. The output of said
10 recommendations are provided to the individual(s) via the Output Unit [130].
Figure 2 illustrates a method [200] carried out in the processor [110] i.e., extracting
and analyzing aggregated data of a set of communication between the organization
and a plurality of individuals associated with the enterprise and/or a corporate. The
method starts at step [210], based on an aggregation of information. The
15 information of the individual may include, but not limited to, time of availability of an
individual at a particular location, transmit time, demographic details and any other
relevant metadata. At step [220], the aggregated data is divided or categorized based
on a set of pre-defined static attributes. These static attributes are calculated based
on how the respective individuals dealt with allocated assignments during a
20 particular time. Such static attributes may include, but not limited to, scale of
performance, approachability of the individual etc.
At step [230], the performance of the individual is determined and this data can be
used over subsequent months to improve the accuracy and precision of the
predictions. At step [240], a set of features pertaining to the skills of the individual of
25 the organization is recommended and this can help in preventing decline of
performance of the individual when associated with the organization.
10
On the practical aspects of the present invention, there is a platform with data of
one or more master entities and details of the individuals working therein. The
platform is linked with at least one of the master entity and is also accessible by
authorized person(s) of the master entity. Using this platform, the authorized
5 person(s) of the respective organization can trace the individuals who are working
on non-revenue generated projects. Such projects are assigned to the individuals
based on their previous performance for a particular period set in the master entity.
Keeping in view about the potential of the individuals working on the non-revenue
generated projects, the platform offers recommendation to such individuals. The
10 recommendation may be, but not limited to transfer of the employment
engagement from the master entity to a slave entity. Upon acceptance on the
recommendation, the individual will be benefitted with Re-Skilling, Up-Skilling &
Cross Skilling (RUC) features. Accepting such recommendation changes the current
employment state of the individuals with the master entity as the employment
15 transfer to the slave entity is taking place. It is to be noted that the recommendation
provided to the individuals may only be viewed by the afore-mentioned authorized
person(s).
In accordance with the above, at step [250], the individual accepts the
recommendation offered and the individual is set to enhance skills pertaining to
20 relevant technical area.
In contrast to this, at step [260], the individual does not accept the recommendation
offered.
Figure 3 describes a hardware architecture [300] used to implement the present
invention. The hardware architecture [300] comprises a plurality of user devices
25 [305], a network interface 310, and a server [315]. The plurality of user devices [305]
is operated by a plurality of individuals associated with the organizations.
11
Deployment of process carried out based on this invention may be performed in the
server [315], the plurality of user devices [305], or a combination of these. The
network interface [310] may be network interface cards, switches or routers, Fiber
Channel transceivers, InfiniBand-enabled devices, or other devices programmed to
5 transmit and receive messages according to standardized data network protocols.
These protocols may include Ethernet for a media access control (MAC) layer,
Internet Protocol (IP) for a network layer, and/or User Datagram Protocol (UDP) or
Transmission Control Protocol (TCP) for a transport layer and/or any technology
and/or protocol(s) which enables such a communication. The plurality of user
10 devices [305] may be, for example, but not limited to mobile phone, computer,
laptop, PDA, or the like.
The server [315] of the hardware architecture [300] is designed to operate as a
centralized system that serves the plurality of user devices [305]. The server [315]
may perform these operations, for example but not limited to, data managing in
15 required format, determining performance of an individual, or the like. The server
[315] is one of dedicated server and cloud server.
As will be appreciated by one of skill in the art, the present invention may be
embodied as a method, and apparatus. Accordingly, the present invention may take
the form of an entirely hardware embodiment, a software embodiment or an
20 embodiment combining software and hardware aspects.
It will be understood that each block of the block diagrams, can be implemented by
computer program instructions. These computer program instructions may be
provided to a processor of a general-purpose computer, special purpose computer,
or other programmable data processing apparatus to produce a machine, such that
25 the instructions, which execute via the processor of the computer or other
12
programmable data processing apparatus, create means for implementing the
functions/acts specified in the flowchart and/or block diagram block or blocks.
While considerable emphasis has been placed herein on the disclosed
embodiments, it will be appreciated that many embodiments can be made and that
5 many changes can be made to the embodiments without departing from the
principles of the present disclosure. These and other changes in the embodiments of
the present disclosure will be apparent to those skilled in the art, whereby it is to be
understood that the foregoing descriptive matter to be implemented is illustrative
and non-limiting.

We claim:

1. A method for determining an individual performance in an organization, the
method comprising:
- aggregating, by a Processor [110], a set of information associated with a
5 plurality of individuals in the organization;
- categorizing, by the Processor [110], the aggregated set of information
based on a set of pre-defined static attributes;
- determining, by the Processor [110], a performance of each of the
plurality of individuals within the organization based on the set of pre10 defined static attributes; and
- recommending, by an Output Unit [130], a set of features pertaining to
the skills of each of the plurality of individuals based on the performance
of each of the plurality of individuals.
2. The method as claimed in claim 1, wherein the set of information comprises time
15 of availability of each of the plurality of individuals at a particular location,
transmit time, demographic information, education details, industry, nationality,
gender, location, skill, experience, technology area, income.
3. The method as claimed in claim 1, wherein the set of pre-defined static
attributes comprises a scale of performance, approachability of the individual,
20 efficiency of the individual, and wherein the set of pre-defined static attributes is
calculated based on an interaction pattern of the individual with the allocated
assignments in a particular time interval.
14
4. The method as claimed in claim 1, wherein the set of features pertaining to the
skills of each of the plurality of individuals is recommended to maintain and
enhance the performance of each of the plurality of individuals associated with
the organization.
5 5. The method as claimed in claim 1, further comprises analyzing, by the Processor
[110], the aggregated set of information to categorize the aggregated set of
information based on the set of pre-defined static attributes.
6. The method as claimed in claim 1, wherein aggregated set of information is
stored in a Database [105] connected to the Processor [110], wherein the
10 Database [105] further stores the information associated with the organization.
7. A system [100] for determining an individual performance in an organization, the
system [100] comprising:
a Processor [110], wherein the Processor [110] is configured to:
- aggregate a set of information associated with a plurality of individuals
15 in an organization;
- categorize the aggregated set of information based on a set of predefined static attributes;
- determine performance of each of the plurality of individuals within the
organization based on the set of pre-defined static attributes,
20 an Output Unit [130] connected to the Processor [110], wherein the Output
Unit [130] is configured to:
15
- recommend a set of features pertaining to the skills of each of the
plurality of individuals based on the performance of each of the plurality
of individuals.
8. The system [100] as claimed in claim 7, wherein the set of information comprises
5 time of availability of each of the plurality of individuals at a particular location,
transmit time, demographic information, education, Industry, nationality,
gender, location, skill, experience, technology area, income.
9. The system [100] as claimed in claim 7, wherein the set of pre-defined static
attributes comprises a scale of performance, approachability of the individual,
10 efficiency of the individual, and wherein the set of pre-defined static attributes is
calculated based on an interaction pattern of the plurality of individuals with the
allocated assignments in a particular time interval.
10. The system [100] as claimed in claim 7, wherein the set of features pertaining to
the skills of each of the plurality of individuals is recommended to maintain and
15 enhance the performance of each of the plurality of individuals associated with
the organization.
11. The system [100] as claimed in claim 7, wherein the Processor [110] is present
inside a Server (dedicated or cloud) [315] to determine performance of each of
the plurality of individuals, wherein the plurality of individuals is connected to
20 the Server [315] via a plurality of user devices [305] and a network interface
[310].
12. The system [100] as claimed in claim 7, further comprises a Database [105]
connected to the Processor [110] and the Output Unit [130], wherein the
Database [105] is configured to store the aggregated set of information
16
associated with the plurality of individuals and the information associated with
the organization.