WO2020152698A2

WO2020152698A2 - A system and method for tracking and managing a panel in a digital ecosystem

Info

Publication number: WO2020152698A2
Application number: PCT/IN2020/050057
Authority: WO
Inventors: Nitish Kumar
Original assignee: Broadcast Audience Research Council.
Priority date: 2019-01-23
Filing date: 2020-01-21
Publication date: 2020-07-30
Also published as: WO2020152698A3

Abstract

A system for tracking and managing a panel (meter device) in a digital ecosystem, said system comprising: a polling mechanism to poll each of said panels to obtain panel parameters; an automated mapper, based on panel (meter device) polled feedback and based on resource polled feedback; an automated task creator, based on panel (meter device) polled feedback; an automated alarm creator; an automated task scheduler comprising; and an automated alarm scheduler.

Description

TITLE OF THE INVENTION

A SYSTEM AND METHOD FOR TRACKING AND MANAGING A PANEL IN A DIGITAL ECOSYSTEM

This application claims priority from Indian Patent Application No. 201921002781 filed on January 23, 2019.

FIELD OF THE INVENTION:

This invention relates to the field of communications engineering.

Particularly, this invention relates to the field of panel management and asset management in communications engineering.

Specifically, this invention relates to a system and method for tracking and managing a panel in a digital ecosystem.

BACKGROUND OF THE INVENTION:

Meters are devices which are installed in a home, communicably coupled to a television, in order to capture viewing data to analyse viewership parameters.

Currently, the applicants manage about 44,000 such devices across a national geography and a dedicated team of personnel are involved in managing these meters. As the number of devices increase exponentially, the team of personnel cannot be increased exponentially. Therefore, there is a need for a system which manages a large number or a multitude of such meter devices in a smart and efficient manner without burdening personnel or without exaggerating the number of resources. Each meter requires unique technical skill sets to manage. The frontline team carrying managing meters are under multiple service providers. In many cases, a single pre-defined geography has multiple service providers at pin code level. The sheer spread of geography, infrastructure, language, different fault rates at different geographies and requirement to service every meter within 24 to 48 hours to avoid data loss brings in a huge level of complexity. Increasing the productivity of the team, managing meters, under the given circumstances is a big challenge.

The natural tendency, as disclosed in prior art, is to develop a customised system / platform. However, these have limitations.

Therefore, there is a need for a system, platform, and method which is an integrated system along with front-end device carrying mobile application fully integrated with back-end Platform.

According to prior art, only service providers had access to data pertaining to field operations.

Therefore, there is a need for a system, platform, and method to segmentise tasks and provide flow paths for each task.

Panel management is important for the following reasons:

1) Measurement and viewing data capture through an installed device at a house; and

2) Processing, audience estimation, and reporting of data of the installed device.

The industry has been primarily conducting research based on manual, semi-automated, legacy studies conducted by 3 parties. Inaccuracy of such methodology causes huge research error impacting in incorrect reflection of realities. For such data being used for industry, currency results in imperfect planning, incorrect investments - leading to investments not delivering required ROI. This research has large dynamic components which link to human behaviour patterns and consumption. It is imperative that technology enables true reflection of households, demographics, environmental conditions which provide a very high level of accurate information when compared with legacy systems. It has been acknowledged by industry that planning and investment quality improves sharply if market and HHs consumption patterns are in line with everyday dynamics. Worldwide patterns also show that non-sampling errors are the biggest culprit to overall industry inefficiency. Dynamic research framework available on field-tech devices gives better insights to HHs and their changes. Many other initiatives like tracking GPS location on panel homes through both the devices like field team & meter enriches with lot of environmental factors link to consumption of services. For example, floods, or power and network outages in various markets impact directly on consumption of services which are not captured through legacy systems.

Therefore, there is a need for a system which dynamically updates and provides an accurate reflection of daily patterns which can be correlated with statistical research providing clients with accurate insights.

Experiences in panel operations revealed that this operation is more complex in nature as compared to other FMCG, distribution, servicing or B2C operations due to the following technical reasons:

Periodic universe estimates study integration call Broadcast India (BI) studies for three different business/panel (TV, premium, Digital, and RPD);

Automation to help to curb field malpractices, panel home infiltration, dynamic and correct reflection of panel health detail for attribution;

Panel is recruited without giving any major incentive to be a part of panel for panel members and they are expected to comply with the guideline over a period of ~4 years; Getting continuous data from all panel HHs without a single break - idea is to capture the viewing reality of the panel home;

Need to have access of panel HHs in case of any technical issues, training / new SOP and un-installation etc. as per the convenience of the panel home;

Requirement of near real time update of panel demographic information;

Task and people tracking for optimal field operation. Considering all these above points, there is a need for an enterprise field solution which is customized to manage panel operations. Idea is to have an integrated system rather than multiple stand-alone solutions with integration challenges. The requirements to be served are many; multi 3 party agency handling with multi -hierarchy organization, resource management, task management, real time task and field resource tracking, inventory management and integration of different technology vendor process.

There is a need for a solution which helps manage and control panel life cycle comprising of panel selection, panel on-boarding, panel maintenance, panel churn, asset and inventory management, and the like.

PRIOR ART:

Country-wise, prior art teaches the following systems across the globe:

1) USA - there is no unified process for panel management system;

2) UK - there are custom solutions available and applications available for data entry;

3) EU - there are custom in-house solutions and online panels;

4) FRANCE - there are custom solutions along with calling and electronic form filling;

5) PORTUGAL - there are custom in-house solutions and online panels for information;

6) AUSTRALIA - there are custom in-house solutions.

However, there is no integrated enterprise system, platform, and method which is scalable in order to serve a variety of panels.

OBJECTS OF THE INVENTION:

An object of the invention is to provide a panel system which is a real-time integration of a variety of custom applications to provide a 360-degree view of panel home, resources and measurement for multiple lines of businesses.

Another object of the invention is to provide a panel system which is diagnostic in nature. Yet another object of the invention is to provide a panel system which tracks devices from its source i.e. a factory till its end of life.

Still another object of the invention is to provide a panel system which is scalable to millions of devices.

An additional object of the invention is to provide a panel system which provides periodic universal estimate broadcast studies across at least three mediums (television, premium, and digital) on a single consolidated panel.

Another additional object of the invention is to provide a panel system which provides automated monitoring mechanisms to curb field malpractices.

Another additional object of the invention is to provide a panel system which provides automated mechanisms for panel home infiltration.

Another additional object of the invention is to provide a panel system which provides automated mechanisms for panel health detail for attribution.

Yet another additional object of the invention is to provide a panel system which provides a consolidated platform for obtaining continuous data from all panel HHs without a single break.

Still another additional object of the invention is to provide a panel system which provides near real-time update of panel demographic information.

SUMMARY OF THE INVENTION:

According to this invention, there is provided a system for tracking and managing a panel (meter device) in a digital ecosystem, said system comprises:

a polling mechanism configured to poll each of said panels to obtain panel parameters; an automated mapper, based on panel (meter device) polled feedback and based on resource polled feedback, comprising:

o first input mechanism configured to input identities of clusters of panels (meter devices), within a pre-defined geography, using parameters required for measurement;

o second input mechanism configured to input types of panels (meter devices), within a pre-defined geography, using parameters required for measurement; o panel mapper configured to map each identified and geo-located panel (meter device) using data, from said first input mechanism and said second input mechanism, in order to obtain mapped (identified) geo-located panels (meter devices);

o third input mechanism configured to input weighted parameters of a skilled resource;

o resource mapper configured to map a skilled resource in terms of its weighted parameters in order to obtain mapped (weight-assigned) geo-located resource; o task mapper configured to map a task in terms of its constituent discrete series of micro-tasks in order to generate a task with a defined output and in order to generate a task with intermittent defined outputs corresponding to said constituent series of micro-tasks;

o alarm mapper configured to map an alarm of a task in terms of its in order to generate a ranked alarm per task or a ranked alarm per micro-task;

an automated task creator, based on panel (meter device) polled feedback, comprising: o task generator configured to generate a task per panel (meter device) based on panel (meter device) polled performance and based on pre-defined rules;

o task rule engine configured to pre-define said rules, of said task generator, for defining completion of each task and to pre-define said rules, of said task generator, for defining completion of each micro-task;

an automated alarm creator comprising: o alarm generator configured to generate an alarm per task per panel (meter device) based on panel (meter device) polled performance and based on pre-defined rules of alarm generation;

o alarm ranker configured to rank said generated alarms based on pre-defined rules of alarm ranking;

o alarm rule engine configured to define rules pertaining to pre-defined rules of alarm generation, for said alarm generator, and pre-defined rules of alarm ranking, for said alarm ranker;

an automated task scheduler comprising:

o task allocator engine configured to assign each task per panel (meter device) or a micro-task per panel (meter device), to a resource based on rules relating to mapping of said task per panel (meter device) or a micro-task per panel (meter device) with respect to said mapped resource in order to obtain a mapped- allocated resource per task per panel (meter device); and

an automated alarm scheduler comprising:

o alarm allocator engine configured to assign each alarm per task per panel (meter device) or each alarm per micro-task per panel (meter device), to a resource based on rules relating to mapping of said alarm per task per panel (meter device) or a micro-task per alarm per panel (meter device) with respect to said mapped resource in order to obtain a mapped- allocated resource per alarm per task per panel (meter device).

Typically, said system comprises a first identifier to identify type of panel (meter device), said panel (meter device) type being selected from being a premium panel (meter device), out of home panel (meter device), or a digital panel (meter device), said identifier being a polling mechanism configured to poll said panel (meter device) in order to identify said type of said panel (meter device). Typically, said third input mechanism is further configured to determine parameters of a weighted resource, said parameters being selected from a group of parameters consisting of a location parameters, an availability parameter, a skill parameter, and distance parameter.

Typically, said system comprises an updater configured to update a task progress basis defined micro-tasks.

According to this invention, there is also provided a method for tracking and managing a panel (meter device) in a digital ecosystem, said method comprises:

a step of automated mapping, based on panel (meter device) polled feedback and based on resource polled feedback, comprising:

o inputting identities of clusters of panels (meter devices) within a pre-defined geography;

o inputting types of panels (meter devices) within a pre-defined geography; o mapping each identified and geo-located panel (meter device) using data, from said first input mechanism and said second input mechanism, in order to obtain mapped (identified) geo-located panels (meter devices);

o inputting weighted parameters of a skilled resource;

o mapping a skilled resource in terms of its weighted parameters in order to obtain mapped (weight-assigned) geo-located resource;

o mapping a task in terms of its constituent discrete series of micro-tasks in order to generate a task with a defined output and in order to generate a task with intermittent defined outputs corresponding to said constituent series of micro tasks;

o mapping an alarm of a task in terms of its in order to generate a ranked alarm per task or a ranked alarm per micro-task;

a step of creating an automated task, based on panel (meter device) polled feedback, comprising: o generating a task per panel (meter device) based on panel (meter device) polled performance and based on pre-defined rules;

o pre-defining said rules for defining completion of each task and to pre-define said rules for defining completion of each micro-task;

a step of creating an automated alarm comprising:

o generating an alarm per task per panel (meter device) based on panel (meter device) polled performance and based on pre-defined rules of alarm generation; o ranking said generated alarms based on pre-defined rules of alarm ranking;

o defining rules pertaining to pre-defined rules of alarm generation, for said alarm generator, and pre-defined rules of alarm ranking, for said alarm ranker;

a step of scheduling an automated task comprising:

o assigning each task per panel (meter device) or a micro-task per panel (meter device), to a resource based on rules relating to mapping of said task per panel (meter device) or a micro-task per panel (meter device) with respect to said mapped resource in order to obtain a mapped-allocated resource per task per panel (meter device);

a step of scheduling an automated alarm comprising:

o assigning each alarm per task per panel (meter device) or each alarm per micro task per panel (meter device), to a resource based on rules relating to mapping of said alarm per task per panel (meter device) or a micro-task per alarm per panel (meter device) with respect to said mapped resource in order to obtain a mapped- allocated resource per alarm per task per panel (meter device).

Typically, said method comprises a step of identifying type of panel (meter device), said panel (meter device) type being selected from being a premium panel (meter device), out of home panel (meter device), or a digital panel (meter device), said identifier being a polling mechanism configured to poll said panel (meter device) in order to identify said type of said panel (meter device). Typically, said step of inputting weighted parameters of a skilled resource further comprises a step of determining parameters of a weighted resource, said parameters being selected from a group of parameters consisting of a location parameters, an availability parameter, a skill parameter, and distance parameter.

Typically, said method comprises a step of updating a task progress basis defined micro-tasks.

BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS:

The invention will now be described in relation to the accompanying drawings, in which:

FIGURE 1 illustrates a schematic block diagram of the system;

FIGURE 2 illustrates a view of how a multi-system is integrated;

FIGURE 3 illustrates how an asset is moved;

FIGURE 4 and FIGURE 5 illustrates some of the key tasks flow of panel management; and FIGURE 6 and FIGURE 7 detail the architecure of the panel management system.

DETAILED DESCRIPTION OF THE ACCOMPANYING DRAWINGS:

According to this invention, there is provided a system and method for tracking and managing a panel in a digital ecosystem.

Research, in general, and market research, in particular, depends heavily on the quality of data that is collected. Good research is bound by the limitations of cost and scale. Health of any panel depends on quality of the manager of the panel. Hence, panels are necessarily limited in size. Also, the quality of response is not uniform. A centralised maintenance system that ensures proper recruitment, checks for panel health and maintenance will allow for larger panels of uniform quality at optimal costs. A larger sample size will reduce sampling errors and yield more robust data. Inability to reflect everyday dynamic changes in markets and respective panel homes reduces the reliability of the data many folds. The quality of data collecting depends on the quality of manpower, their training, tools to administer and / or collect the data, and finally monitoring of the whole process with all the relevant checks and rules to ensure data reflects the reality in real time.

The panel management solution, of this invention, provides a solution to the above-mentioned problems.

This system gives flexibility to plan, implement, and collect data and to modify processes based on feedback and re-implement the changes.

This system assists an organization understand the 360-degree view of their panel, consumption patterns, impact of local environmental conditions, and seasonality into measurement. The same architecture supports a panel of size 3 million (meter devices) at a time. This system has ensured strict controls on all areas of input and thorough validation mechanisms to ensure zero errors essential for qualitative and statistical analysis.

For the purposes of this specification, the term,‘task’, is defined as a series of events performed to obtain a defined output.

In accordance with an embodiment of this invention, there is provided an automated task creation and flow module based on device feedback.

In at least an embodiment, an input mechanism is configured to input a series of events to generate a task with a defined output. The series of events may comprise parameters and field pertaining to location, skill set, resource defining, resource availability, travel-related parameters, and the like parameters. In at least an embodiment, a task allocator engine is configured to assign each task or a portion, thereof, to a resource based on rules. A rule engine is configured to assign rules for task completion or an event completion.

For example, a task allocator engine assigns a task to a resource considering home location of the resource, current location of the resource, task location, travel time, mode of travelling, time availability with the resource, appointment time, the resource skill set to address the task, available accessories with resources to allocate the task, and real time update as the resource goes ahead with task completion including actual performance against defined output. The rule engine defines all these rules. This degree of information helps to further optimise the resources to manage operation.

This system is linked with at least nine other critical live system (Sample BI management system, ID management system, Raw data collection system, Incentive management system, Device diagnostic management system, Asset Inventory management system, call centre management system, CRM, Machine learning and Validation system) which allows a real-time update of all information including asset management.

FIGURE 1 illustrates a schematic block diagram of the system of this invention.

FIGURE 2 illustrates a view of how a multi-system is integrated in accordance with this invention.

In accordance with another embodiment of this invention, there is provided a task scheduler (ATS) for created tasks (T).

Task is auto assigned basis resources and skill sets needed to complete the task, which are mapped to the front-line team. In at least an embodiment, a mapping mechanism (AM) maps various pre-defined parameters (P) required to assign and schedule a task or an event.

In at least an embodiment, the mapping mechanism maps at least a resource’s skill parameter. In at least another embodiment, the mapping mechanism maps at least a resource’s home parameter. In at least another embodiment, the mapping mechanism maps at least a resource’s current location parameter. In at least another embodiment, the mapping mechanism maps at least a task location parameter. In at least another embodiment, the mapping mechanism maps at least a resource’s availability parameter.

In at least an embodiment, an updater (U) updates a task progress based on the pre-defined series of events which form a task. Every stage of the progress of the task is auto-updated in the system and is visible in the panel management system.

This system is configured to integrate an upcoming digital panel which is an individual panel leading to huge operational advantage. It also helps in managing the most critical resources, meters, and addresses in an optimal way, giving financial benefit to an organization.

In at least an embodiment, the system (100) comprises:

polling mechanism (PLM) configured to poll each of said panels (PN) to obtain panel parameters;

an automated mapper (AM), based on panel (meter device) polled feedback and based on resource polled feedback, comprising:

o first input mechanism (IP1) configured to input identities of clusters of panels (meter devices) within a pre-defined geography;

o second input mechanism (IP2) configured to input types of panels (meter devices) within a pre-defined geography;

o panel mapper (PM) configured to map each identified and geo-located panel (meter device) using data, from said first input mechanism and said second input mechanism, in order to obtain mapped (identified) geo-located panels (meter devices);

o third input mechanism (IP3) configured to input weighted parameters of a skilled resource;

o resource mapper (RM) configured to map a skilled resource in terms of its weighted parameters (P) in order to obtain mapped (weight-assigned) geo-located resource;

o task mapper (TM) configured to map a task (T) in terms of its constituent discrete series of micro -tasks in order to generate a task with a defined output and in order to generate a task with intermittent defined outputs corresponding to said constituent series of micro-tasks;

o alarm mapper (AM) configured to map an alarm of a task in terms of its in order to generate a ranked alarm per task or a ranked alarm per micro-task;

an automated task creator (ATC), based on panel (meter device) polled feedback, comprising:

o task generator (TG) configured to generate a task per panel (meter device) based on panel (meter device) polled performance and based on pre-defined rules;

o task rule engine (TRE) configured to pre-define said rules, of said task generator, for defining completion of each task and to pre-define said rules, of said task generator, for defining completion of each micro-task;

an automated alarm creator (AAC) comprising:

o alarm generator (AG) configured to generate an alarm per task per panel (meter device) based on panel (meter device) polled performance and based on pre defined rules of alarm generation;

o alarm ranker (AR) configured to rank said generated alarms based on pre defined rules of alarm ranking;

o alarm rule engine (ARE) configured to define rules pertaining to pre-defined rules of alarm generation, for said alarm generator, and pre-defined rules of alarm ranking, for said alarm ranker; an automated task scheduler (ATS) comprising:

o task allocator engine (TAE) configured to assign each task per panel (meter device) or a micro-task per panel (meter device), to a resource based on rules relating to mapping of said task per panel (meter device) or a micro-task per panel (meter device) with respect to said mapped resource in order to obtain a mapped- allocated resource per task per panel (meter device);

an automated alarm scheduler (AAS) comprising:

o alarm allocator engine (AAE) configured to assign each alarm per task per panel (meter device) or each alarm per micro-task per panel (meter device), to a resource based on rules relating to mapping of said alarm per task per panel (meter device) or a micro-task per alarm per panel (meter device) with respect to said mapped resource in order to obtain a mapped-allocated resource per alarm per task per panel (meter device).

FIGURE 3 illustrates how an asset is moved.

A meter device is mass produced in a factory. From factory, it reaches a warehouse. From warehouse, the meters devices move to field offices. Each field office is headed by an area manager. The area manager is the responsible to make sure that the last leg i.e. regional manager gets the inventory, in time. The regional manager installs the meter device in a house, communicably coupled to a television. Once installed, it remains in the house till it becomes faulty and replaced or is de-installed. Upon any of this act, the responsibility of a meter gets assigned to a regional manager. The regional manager, now, sends the faulty meter back to the area manager, who in turn sends it to a service centre for repairs. Post repair, it gets sent back to field office and then to regional manager.

The system, of this invention, helps manage and control panel life cycle comprising panel selection, panel on-boarding, panel maintenance, panel churn, asset, and inventory management. Some of the key tasks flow of panel management is given in FIGURE 4 and FIGURE 5 of the accompanying drawings.

In at least an embodiment, integration is done as per panel management operations’ requirement in order to serve multi-hierarchy of multi-partners, at fields, to serve different lines of business at CRM.

The rule engine enables task generating and task scheduling, dynamically, in real-rime.

Integration includes real-time integration of real-time updates received from the field, through resources, and with intelligent schedule optimization. The speed with which optimization works enables instant reshuffling of a schedule and support features such as truth-based, real-time appointment booking - without interrupting working of field team managers. This also enables service organizations to gain back these minutes, which aggregate into hours of gained productivity each day - from the same workforce.

As an enterprise service provider working with partners, the system of this invention can serve to achieve:

• Strict control on information flow to field force on task and in need basis;

• Defining what type of work should be assigned to partners based on skill set;

• Visibility into capacity and real-time availability of partners; and

• Insight into progress once work is assigned to partners’ resources.

FIGURE 6 and FIGURE 7 details the architecure of the panel management system of this invention.

The architecture considers all security compliances, standard transfer protocol, and combination of DMZ zone and DC. Dynamic updates and an accurate reflection of daily patters is achieved by stitching by panel home wide intelligent meters, geo-locations, automated field input, and remote tracking of field force. The entire field activities are centrally and remotely controlled and monitored through this system framework.

Moreover, daily compliance by panel in terms of presence and consumption wide button pressing is automated too which has been one of the bigger problems within this industry. There is a clear co-relation of HHs demographics and consumption which could not have been done for a variety of regions, language, and culture. The use of this system helps curb operation cost while expending in terms of manpower, transportation, repairs, inventory tracking, industry audit, and compliances. Specific market queries and tasks can be efficiently executed quickly to support clients with specific needs.

The advantages from the system, of this invention, are as follows:

• Better control, ensuring standardisation, and higher uniform quality across a defined geography;

• Proper tracking allows for optimising both recruitment/installation as well as maintenance calls, enabling higher speed;

• No dependency on vagaries of field force; both, in terms of quality as well as in terms of database. Panel HH database is an extremely crucial component - it is the most crucial inventory of any panel-based study. The centralised panel system, of this invention, helps identify panel issues faster, thereby helping maintain the panel better leading to improvement in time and quality, as well as significant savings in cost;

• Scalability and ability to manage new requirements with existing technology and resources.

In at least a non-limiting exemplary embodiment, it was observed that there is at least a threefold increase in the number of tasks done by the team. Panel KPIs improved, too. Overall manpower cost decreased leading to cost savings, thereby establishing ECONOMIC SIGNIFICANCE. Standardization of work led to structured and systematic output which is uniform across geography.

The TECHNICAL ADVANCEMENT of this invention lies in providing a real time input of a task leading to better control. This system also led to transaction wise efficiency increased leading to overall efficiency. This system also eliminates operational redundancies, thereby increasing operation efficiency.

The TECHNICAL ADVANTAGES are as follows:

• recruitment and installation and maintenance from a single platform and system;

• Scalability - handling multiple panel operation;

• Security - multilevel authentication and encryption;

• Optimization Engine - Auto allocation of task basis skill, Inventory, Asset, travel time, appointment, and the like;

• Dedicated GIS - Track performance of RM and HH;

• Task Automation - Intelligent engine to auto Task creation basis BARC unique IoT device alarms;

• API integration - Make it flexible to integrate with different applications;

• Device Agnostic App - Same system / platform can be used for PC/Mobile/Tab/Fab etc;

• Real time tracking - Active RMs, task status and asset movement can be tracked near real time;

• 3600 view of millions of households - Research related information available for analysis and consumptions;

• Workflow configuration as per type of Panel and respective Tash;

• Multi-Application integration.

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 tracking and managing a panel (meter device) in a digital ecosystem, said system comprising:

o alarm mapper configured to map an alarm of a task in terms of its in order to generate a ranked alarm per task or a ranked alarm per micro-task; an automated task creator, based on panel (meter device) polled feedback, comprising: o task generator configured to generate a task per panel (meter device) based on panel (meter device) polled performance and based on pre-defined rules;

an automated alarm creator comprising:

o alarm generator configured to generate an alarm per task per panel (meter device) based on panel (meter device) polled performance and based on pre defined rules of alarm generation;

an automated task scheduler comprising:

an automated alarm scheduler comprising:

2. The system for tracking and managing a panel (meter device) in a digital ecosystem as claimed in claim 1 wherein, said system comprising a first identifier to identify type of panel (meter device), said panel (meter device) type being selected from being a premium panel (meter device), out of home panel (meter device), or a digital panel (meter device), said identifier being a polling mechanism configured to poll said panel (meter device) in order to identify said type of said panel (meter device).

3. The system for tracking and managing a panel (meter device) in a digital ecosystem as claimed in claim 1 wherein, said third input mechanism being further configured to determine parameters of a weighted resource, said parameters being selected from a group of parameters consisting of a location parameters, an availability parameter, a skill parameter, and distance parameter.

4. The system for tracking and managing a panel (meter device) in a digital ecosystem as claimed in claim 1 wherein, said system comprising an updater configured to update a task progress basis defined micro-tasks.

5. A method for tracking and managing a panel (meter device) in a digital ecosystem, said method comprising:

o inputting weighted parameters of a skilled resource; o mapping a skilled resource in terms of its weighted parameters in order to obtain mapped (weight-assigned) geo-located resource;

a step of creating an automated task, based on panel (meter device) polled feedback, comprising:

o generating a task per panel (meter device) based on panel (meter device) polled performance and based on pre-defined rules;

a step of creating an automated alarm comprising:

a step of scheduling an automated task comprising:

a step of scheduling an automated alarm comprising:

6. The method for tracking and managing a panel (meter device) in a digital ecosystem as claimed in claim 1 wherein, said method comprising a step of identifying type of panel (meter device), said panel (meter device) type being selected from being a premium panel (meter device), out of home panel (meter device), or a digital panel (meter device), said identifier being a polling mechanism configured to poll said panel (meter device) in order to identify said type of said panel (meter device).

7. The method for tracking and managing a panel (meter device) in a digital ecosystem as claimed in claim 1 wherein, said step of inputting weighted parameters of a skilled resource further comprises a step of determining parameters of a weighted resource, said parameters being selected from a group of parameters consisting of a location parameters, an availability parameter, a skill parameter, and distance parameter.

8. The method for tracking and managing a panel (meter device) in a digital ecosystem as claimed in claim 1 wherein, said method comprising a step of updating a task progress basis defined micro-tasks.