DESC:FIELD OF THE INVENTION:
This invention relates to the field of communications engineering.

Particularly, this invention relates to a system and method for collating various parameters in media domain.

BACKGROUND OF THE INVENTION:
The term, ‘media’, may refer to broadcast media, digital media, analog media, or any form of channels of communication of content.

The term, ‘universe’ or ‘universal media system’, with respect to media domain refers to the entire ecosystem including transmission, reception, viewership analysis; along with all the devices, protocols, systems, and mechanisms that are employed for the same.

Various pre-defined parameters, vide (polled) signals, of this ‘universe’ system are required to be polled and / or estimated at discrete time intervals. These parameters (of polled signals) are required to be estimated at a granular / micro level in this universe. The set of parameters (of polled signals) that are required to be polled and / or estimated quickly changes and, therefore, it is important that there be provided a system and method which allows for defining such sets of parameters (of polled signals) and which further allows signals relating to this set of parameters to be synchronized / deployed in the universe in order for it to be polled and / or estimated.

Furthermore, users of such a system which polls and / or estimates signals get accustomed to a specific UI which results in licensing costs to various research agencies. Transition, therefore, is cumbersome.

The term, ‘study’ is meant to include a set of data points collated with respect to a group of polled signals based on pre-determined parameters.

There is, therefore, a need for a system and method which overcomes these problems.

OBJECTS OF THE INVENTION:
An object of the invention is to provide a system and method for collating various parameters, for polled signals, in media domain.

Another object of the invention is to provide a unified universe system estimate study in media domain.

Yet another object of the invention is to provide a customisable, scalable, and modular system for collating various parameters in media domain.

Still another object of the invention is to provide a unified interface for a system which collates and accesses various parameters in media domain.

SUMMARY OF THE INVENTION:
According to this invention, there is provided a system for collating various parameters in media domain, said system comprises:
- a loading module configured to allow a user to load multiple types of data (studies), over time, pertaining to a universal media system, each study comprises a list of pre-set parameters corresponding to signals to be polled;
- a parameter selector configured to allow a user to select parameters in order to define a ‘study’ so that a particular set of signals can be polled;
- a sub-system selector configured to allow a user to select sub-systems from said universal media system in order to run a study or a test using user-selected parameters using said parameter selector and using data loaded through said loading module;
- a weight assigner configured to assign weights to parameters, loaded data, sub-systems, according to user requirements for defining a ‘study’, said ‘study’ being a group of signals to be polled to achieve data, defined by parameters (signals to be polled) selected by a user (using said parameter selector) which results in a set of collated data points, with respect to the group of user-selected polled signals (based on said pre-determined parameters), loaded (using said loading module), sub-systems selected (using said sub-system selector); all with weights assigned (using said weight assigner) as and how required by a user.; and
- a compiler configured to compile and run said ‘study’, in accordance with pre-defined rules, as defined in a rule engine, in order to obtain observable outputs.

Typically, said system comprising a license manager configured to manage licenses, per study, with respect to users; at server level as well as stand-alone machines, with data residing either at either the clients’ machines / servers or at a central server of this system.

Typically, said system comprising an export module configured to export output(s), comprising said study, in a variety of modules or formats.

Typically, said pre-defined rules, of said rule engine, being selected from a list of rules consisting of rules pertaining to validations of data, rules pertaining to assigning weights of granular data, rules pertaining to mapping of data, rules pertaining to parameterisation of data.

According to this invention, there is provided a method for collating various parameters in media domain, said method comprises:
- allowing a user, through a server, to load multiple types of data (studies), over time, pertaining to a universal media system, each study comprises a list of pre-set parameters corresponding to signals to be polled;
- allowing a user, through a server, to select parameters in order to define a ‘study’ so that a particular set of signals can be polled;
- allowing a user, through a server, to select sub-systems from said universal media system in order to run a study or a test using user-selected parameters using said parameter selector and using data loaded through said loading module;
- allowing a user, through a server, to assign weights to parameters, loaded data, sub-systems, according to user requirements for defining a ‘study’, said ‘study’ being a group of signals to be polled to achieve data, defined by parameters (signals to be polled) selected by a user (using said parameter selector) which results in a set of collated data points, with respect to the group of user-selected polled signals (based on said pre-determined parameters), loaded (using said loading module), sub-systems selected (using said sub-system selector); all with weights assigned (using said weight assigner) as and how required by a user.; and
- allowing a user, through a server, to compile and run said ‘study’, in accordance with pre-defined rules, as defined in a rule engine, in order to obtain observable outputs.

Typically, said method comprising a step of managing licenses, per study, with respect to users; at server level as well as stand-alone machines, with data residing either at either the clients’ machines / servers or at a central server of this system.

Typically, said method comprising a step of exporting output(s), comprising said study, in a variety of modules or formats.

Typically, said pre-defined rules, of said rule engine, being selected from a list of rules consisting of rules pertaining to validations of data, rules pertaining to assigning weights of granular data, rules pertaining to mapping of data, rules pertaining to parameterisation of data.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS:
The invention will now be described in relation to the accompanying drawings, in which:
FIGURE 1 illustrates an architecture of the system; and
FIGURE 2 illustrates a client – server architecture of the system of this invention.

DETAILED DESCRIPTION OF THE ACCOMPANYING DRAWINGS:
According to this invention, there is provided a system and method for collating various parameters in media domain.

FIGURE 1 illustrates an architecture of the system of this invention.

FIGURE 2 illustrates a client – server architecture of the system of this invention.

In at least an embodiment, the system comprises a loading module configured to allow a user to load multiple types of data (studies), over time, pertaining to the universal media system. Each study comprises a list of pre-set parameters corresponding to signals to be polled. In at least an embodiment, the system comprises a parameter selector configured to allow a user to select parameters in order to define a ‘study’ so that a particular set of signals can be polled.

In at least an embodiment, the system comprises a sub-system selector configured to allow a user to select sub-systems from the universal media system in order to run a study or a test using user-selected parameters (polled signals) using the parameter selector and using data (from polled signals) loaded through the loading module. Since data (from polled signals) changes regularly, parameters also change regularly. The system is configured to allow a user to change parameters and studies, accordingly, on the fly.
For example,
(a) if age groups are replaced by life stage, there will be iteration in the age fields;
(b) if more details regarding TV or other media are required, there will be additional fields;
(c) if there are changes in MOSR that need capturing, there will be additional fields as well as iteration in existing fields.

In at least an embodiment, the system comprises a weight assigner configured to assign weights to parameters, loaded data, sub-systems, and / or the like according to user requirements for a study (group of signals to be polled to achieve data).

Thus, a ‘study’ as defined by this system comprises parameters (signals to be polled) selected by a user (using a parameter selector) which results in a set of collated data points, with respect to the group of user-selected polled signals (based on pre-determined parameters), loaded (using a loading module), sub-systems selected (using a sub-system selector); all with weights assigned (using weight assigner) as and how required by a user.

In at least an embodiment, the system comprises a compiler configured to compile and run a study, in accordance with ‘pre-defined rules’, as defined in a rule engine, in order to obtain ‘observable outputs’.
‘Pre-defined Rules’, for the rule engine, are referred to the validations that are done on sample data for:
- Hygiene checks,
- Categorical Q&A Mapping,
- Weighting at granular levels.
- Parameter definitions at different categories of questions, i.e., Questions with Multiple-Answers, binary answers, and single valued answers.
- Schema generation at different categories of questions elaborated above.

‘Observable outputs’ are herein referred to as the different cross-tab metrics such as:
- Sum of weights,
- Index
- Hor %
- Ver %
- Graphs and comparisons.

Through this system, users are provided with a facility to perform evaluations across combinations of several parameters (e.g. geographic by market or a group of markets; demographics – not only gender, age and NCCS, but could be household size, usage / ownership of durables, language, TV set linked parameters, any other parameter that the study might have as a variable). The system allows for such multiple variable selections. Wherever adequate sample is not available, the system provides a warning and does not allow a specific group where adequate sample is not available. However, this group is considered for overall reporting.

In at least an embodiment, the system comprises an export module in order to export output(s) in a variety of modules or formats.

Since the users are media planners, buyers, and sellers across the ecosystem; the system has an extremely easy-to-use Graphical User Interface. It has ability to highlight, transpose, graphically represent data through colour codes, graphs, percentages / indices etc.

In at least an embodiment, the system comprises a license manager configured to manage licenses with respect to users; at server level as well as stand-alone machines, with data residing either at either the clients’ machines / servers or at a central server of this system.

The TECHNICAL ADVANCEMENT of this invention lies in providing a system which allows a user to create dynamic and modular studies; each study being configured with customizable parameters.

While this detailed description has disclosed certain specific embodiments for illustrative purposes, various modifications will be apparent to those skilled in the art which do not constitute departures from the spirit and scope of the invention as defined in the following claims, and it is to be distinctly understood that the foregoing descriptive matter is to be interpreted merely as illustrative of the invention and not as a limitation.

,CLAIMS:WE CLAIM,

1. A system for collating various parameters in media domain, said system comprising:
- a loading module configured to allow a user to load multiple types of data (studies), over time, pertaining to a universal media system, each study comprises a list of pre-set parameters corresponding to signals to be polled;
- a parameter selector configured to allow a user to select parameters in order to define a ‘study’ so that a particular set of signals can be polled;
- a sub-system selector configured to allow a user to select sub-systems from said universal media system in order to run a study or a test using user-selected parameters using said parameter selector and using data loaded through said loading module;
- a weight assigner configured to assign weights to parameters, loaded data, sub-systems, according to user requirements for defining a ‘study’, said ‘study’ being a group of signals to be polled to achieve data, defined by parameters (signals to be polled) selected by a user (using said parameter selector) which results in a set of collated data points, with respect to the group of user-selected polled signals (based on said pre-determined parameters), loaded (using said loading module), sub-systems selected (using said sub-system selector); all with weights assigned (using said weight assigner) as and how required by a user.; and
- a compiler configured to compile and run said ‘study’, in accordance with pre-defined rules, as defined in a rule engine, in order to obtain observable outputs.

2. The system for collating various parameters in media domain as claimed in claim 1 wherein, said system comprising a license manager configured to manage licenses, per study, with respect to users; at server level as well as stand-alone machines, with data residing either at either the clients’ machines / servers or at a central server of this system.

3. The system for collating various parameters in media domain as claimed in claim 1 wherein, said system comprising an export module configured to export output(s), comprising said study, in a variety of modules or formats.

4. The system for collating various parameters in media domain as claimed in claim 1 wherein, said pre-defined rules, of said rule engine, being selected from a list of rules consisting of rules pertaining to validations of data, rules pertaining to assigning weights of granular data, rules pertaining to mapping of data, rules pertaining to parameterisation of data.

5. A method for collating various parameters in media domain, said method comprising:
- allowing a user, through a server, to load multiple types of data (studies), over time, pertaining to a universal media system, each study comprises a list of pre-set parameters corresponding to signals to be polled;
- allowing a user, through a server, to select parameters in order to define a ‘study’ so that a particular set of signals can be polled;
- allowing a user, through a server, to select sub-systems from said universal media system in order to run a study or a test using user-selected parameters using said parameter selector and using data loaded through said loading module;
- allowing a user, through a server, to assign weights to parameters, loaded data, sub-systems, according to user requirements for defining a ‘study’, said ‘study’ being a group of signals to be polled to achieve data, defined by parameters (signals to be polled) selected by a user (using said parameter selector) which results in a set of collated data points, with respect to the group of user-selected polled signals (based on said pre-determined parameters), loaded (using said loading module), sub-systems selected (using said sub-system selector); all with weights assigned (using said weight assigner) as and how required by a user.; and
- allowing a user, through a server, to compile and run said ‘study’, in accordance with pre-defined rules, as defined in a rule engine, in order to obtain observable outputs.

6. The method for collating various parameters in media domain as claimed in claim 5 wherein, said method comprising a step of managing licenses, per study, with respect to users; at server level as well as stand-alone machines, with data residing either at either the clients’ machines / servers or at a central server of this system.

7. The method for collating various parameters in media domain as claimed in claim 5 wherein, said method comprising a step of exporting output(s), comprising said study, in a variety of modules or formats.

8. The method for collating various parameters in media domain as claimed in claim 5 wherein, said pre-defined rules, of said rule engine, being selected from a list of rules consisting of rules pertaining to validations of data, rules pertaining to assigning weights of granular data, rules pertaining to mapping of data, rules pertaining to parameterisation of data.

Dated this 10th day of January, 2020

SHILPA HEMANT GHARVE
APPLICANT’s PATENT AGENT