reference will now be made in detail to exemplary embodiments , which are illustrated in the accompanying drawings . wherever possible , the same reference numbers will be used throughout the drawings to refer to the same or like parts . fig1 illustrates an exemplary work machine environment 100 in which features and principles consistent with certain disclosed embodiments may be implemented . as shown in fig1 , work machine environment 100 may include a remote off - board system 110 and work machines 120 , 130 , and 140 . each work machine 120 , 130 , and 140 includes a wireless communication device , such as antennae 122 , 132 , and 142 , and an on - board system 124 , 134 , and 144 , respectively . although only a specific number of work machines are shown , environment 100 may include any number and types of such machines and / or off - board systems . work machine , as the term is used herein , refers to a fixed or mobile machine that performs some type of operation associated with a particular industry , such as mining , construction , farming , etc . and operates between or within work environments ( e . g ., construction site , mine site , power plants , etc .). a non - limiting example of a fixed machine includes an engine system operating in a plant or off - shore environment ( e . g ., off - shore drilling platform ). non - limiting examples of mobile machines include commercial machines , such as trucks , cranes , earth moving vehicles , mining vehicles , backhoes , material handling equipment , farming equipment , marine vessels , aircraft , and any type of movable machine that operates in a work environment . as shown in fig1 , work machines 120 and 140 are backhoe type work machines , while machine 130 is a hauler - type work machine . the types of work machine illustrated in fig1 are exemplary and not intended to be limiting . it is contemplated by the disclosed embodiments that environment 100 may implement any number of different types of work machines . an off - board system , as the term is used herein , may represent a system that is located remote from work machines 120 , 130 , and 140 . an off - board system may be a system that connects to work machine 120 through wireline or wireless data links . further , an off - board system may be a computer system including known computing components , such as one or more processors , software , display , and interface devices that operate collectively to perform one or more processes . alternatively , or additionally , an off - board system may include one or more communication devices that facilitate the transmission of data to and from work machine 120 . in certain embodiments , an off - board system may be another work machine remotely located from work machine 120 . remote off - board system 110 may represent one or more computing systems associated with a business entity corresponding to work machines 120 , 130 , and 140 , such as a manufacturer , dealer , retailer , owner , project site manager , a department of a business entity ( e . g ., service center , operations support center , logistics center , etc . ), or any other type of entity that generates , maintains , sends , and / or receives information associated with machines 120 , 130 , and 140 . remote off - board system 110 may include one or more computer systems , such as a workstation , personal digital assistant , laptop , mainframe , etc . remote off - board system 110 may include web browser software that requests and receives data from a server when executed by a processor and displays content to a user operating the system . in one embodiment of the disclosure , remote off - board system 110 is connected to work machine 120 through a local wireless communication device . remote off - board system 110 may also represent one or more portable , or fixed , service systems that perform diagnostics and / or service operations that include receiving and sending messages to work machine 120 . for example , remote off - board system 110 may be an electronic testing device that connects to work machine through an rs - 232 serial data link or through wireless communication mediums . wireless communication devices 122 , 132 , and 142 may represent one or more wireless antennae configured to send and / or receive wireless communications to and / or from remote systems , such as off - board system 110 and other work machines . although devices 122 , 132 , 142 are shown being configured for wireless communications , other forms of communications are contemplated . for example , work machines 120 , 130 , and 140 may exchange information with remote systems using any type of wireless , wireline , and / or combination of wireless and wireline communication networks and infrastructures . as shown in fig1 , work machine 120 may wirelessly exchange information with work machines 130 and 140 , and off - board system 110 . further , work machines 130 and 140 may exchange information with off - board system 110 . on - board systems 124 , 134 , and 144 may represent a system of one or more on - board modules , interface systems , data links , and other types of components that perform machine processes within work machines 120 , 130 , and 140 . fig2 shows a block diagram of on - board system 124 consistent with certain disclosed embodiments . the following description of on - board system 124 is applicable to on - board systems 134 and 144 . as shown in fig2 , on - board system 124 may include a communication module 210 , interface control system 220 , on - board modules 230 - 1 to 230 - n , and on - board components 240 - 1 to 240 - y . on - board modules 230 - 1 to 230 - n and interface control system 220 are interconnected by a data link 215 . although interface control system 220 is shown as a separate entity , some embodiments may allow control system 220 to be included as a functional component of one or more of on - board modules ( 230 - 1 – 230 - n ). further , although only a specific number of on - board control modules are shown , work machine 120 may include any number of such modules . communication module 210 represents one or more devices that are configured to facilitate communications between work machine 120 and one or more remote systems , such as off - board system 110 and other work machines 130 , 140 . communication module 210 may include hardware and / or software that enables the device to send and / or receive data messages through wireline or wireless communications . as shown in fig1 and 2 , communication module 210 is connected to communication device 122 for facilitating wireless communications with remote off - board system 110 and work machines ( 130 , 140 ), although other off - board systems may send and receive data messages to and from communication module 210 . the wireless communications may include satellite , cellular , infrared , and any other type of wireless communications that enable work machine 120 to wirelessly exchange information with an off - board system . an on - board module , as the term is used herein , may represent any type of component operating in a work machine that controls or is controlled by other components or sub - components . for example , an on - board module may be an operator display device control module , an engine control module ( ecm ), a power system control module , a global positioning system ( gps ) interface device , an attachment interface that connects one or more sub - components , and any other type of device that work machine 120 may use to facilitate and / or monitor operations of the machine during run time or non - run time conditions ( i . e ., machine engine running or not running , respectively ). an on - board module , as the term is used herein , may represent any type of component operating in a work machine that controls or is controlled by other components or sub - components . for example , an on - board module may be an operator display device control module , an engine control module ( ecm ), a power system control module , a global positioning system ( gps ) interface device , an attachment interface that connects one or more sub - components , and any other type of device that work machine 120 may use to facilitate and / or monitor operations of the machine during run time or non - run time conditions ( i . e ., machine engine running or not running , respectively ). in one embodiment , interface control system 220 may include various computing components used to perform certain functions consistent with the requirements of that embodiment . to do so , interface control system 220 may include one or more processors and memory devices ( not shown ). for example , interface control system 220 may include a digital core that includes the logic and processing components used by interface control system 220 to perform interface , communications , and software update functionalities . in one embodiment , the digital core may include one or more processors and internal memories . the memories may represent one or more devices that temporarily store data , instructions , and executable code , or any combination thereof , used by a processor . further , the memories may represent one or more memory devices that store data temporarily and / or permanently during operation of interface control system 220 , such as a cache memory , register device , buffer , queuing memory device , and any type of memory device that maintains information . the internal memory used by interface control system 220 may be any type of memory device , such as flash memory , static random access memory ( sram ), and battery backed non - volatile memory devices . for clarity of explanation , fig2 shows interface control system 220 as a distinct element . however , interface control functionality may be implemented via software , hardware , and / or firmware within one or more modules ( e . g ., 230 - 1 to 230 - n ) on an on - board data link . thus , interface control system 220 may , in certain embodiments , represent functionality or logic embedded within another element of work machine 120 . modules 230 - 1 to 230 - n may represent one or more on - board modules connected to data link 215 included in work machine 120 . data link 215 may represent a proprietary or non - proprietary data link , such as a society of automotive engineers ( sae ) standard data link including controller area network ( can ), j1939 , etc . data link 215 may be wireless or wireline . for example , in one embodiment , work machine 120 may include wireless sensors that are linked together through interface control system 220 . further , although fig2 shows one data link 215 , certain embodiments may include additional data links connected to one or more on - board modules 230 - 1 to 230 - n that interconnect additional layers of on - board modules and / or interface control systems . on - board components 240 - 1 to 240 - y may represent one or more components that receive data , control signals , commands , and / or information from on - board modules , 230 - 1 to 230 - n , respectively . on board components 240 - 1 to 240 - y may also represent one or more components that transmit data , control signals , and / or other work data to on board modules 230 - 1 to 230 - n . in certain embodiments , on - board components 240 - 1 to 240 - y may be controlled by respective on - board modules 230 - 1 to 230 - n through the execution of software processes within these modules . for example , on - board components 240 - 1 to 240 - y may represent different types of work machine components that perform various operations associated with the type of work machine 120 . for instance , on - board component 240 - 1 may be one or more engine components , while on - board component 240 - y may represent one or more transmission type components . fig3 will be used to illustrate various embodiments using the on - board modules ( 230 - 1 to 230 - n ) and on - board components ( 240 - 1 to 240 - y ) discussed above . in one embodiment , at least one of on - board modules 230 - 1 to 230 - n may be configured to receive work machine operation data (“ work data ”). for the sake of simplicity , fig3 illustrates on - board module 230 - 1 as being the on - board module configured to receive the work data . however , other on - board modules may be used to receive the work data . in another embodiment , at least one of on - board components 240 - 1 to 240 - y may be configured to receive the work data . for the sake of simplicity , fig3 illustrates on - board component 240 - y as being the on - board module configured to receive the work data . however , other on - board components may be used to receive the work data . in this embodiment , the work data received by on - board component 240 - y may be transferred to on - board module 230 - n . in either of the above - mentioned embodiments , one or more identification technologies may be used to identify an operator . for example , a radio frequency device 310 ( e . g ., an rfid tag ) may be used to identify an operator . radio frequency device 310 may consist of a chip attached to an antenna . a scanner ( not shown ), which may be located at an on - board module 230 - 1 or on - board component module 240 - y , may be used to scan the chip . in a passive device , a small amount of radio frequency is passed from the scanner to energize the chip , which then emits a radio frequency signal transmitting an operator &# 39 ; s unique personal verification ( chip id ) number . in an active device , the chip may provide a power source for emitting the radio frequency signal . the radio frequency signal transfers the chip id to interface control system 220 for verification . additionally , or alternatively , on - board system 124 may include means for receiving an operator identification code . such means may include , for example , a switch or similar device , configured to receive key data from a key device ( e . g ., smart card , smart key , etc .) having operator identification data stored therein . in addition to the operator identification information , through various sensors ( not shown ) connected , or transmitting data , to on - board modules ( 230 - 1 to 230 - n ) and / or on - board components ( 240 - 1 to 240 - y ), interface control system 220 may collect the work data . for example , the work data may include data such as gas consumption , load weight , idle time , number of engine starts , load type , work machine type , terrain type , terrain grade , type of material manipulated by the work machine , hours of operation , fluid levels , fluid consumptions , work site parameter data , and any other type of information related to work machine 120 and / or the work site , terrain etc ., associated with work machine 120 . in the above embodiment , interface control system 220 may collect the operator identification information and work data . the collected information may be transferred to an off - board system , such as remote off - board system 110 , which may represent one or more computing systems associated with a business entity corresponding to work machines 120 , 130 , and 140 ( fig1 ), such as a manufacturer , dealer , retailer , owner , project site manager , a department of a business entity ( e . g ., service center , operations support center , logistics center , etc . ), or any other type of entity that generates , maintains , sends , and / or receives information associated with machines 120 , 130 , and 140 . through wireless communication devices 122 , 132 , and 142 ( fig1 ), interface control system 220 may transmit the collected work data and operator identification information to remote systems , such as off - board system 110 and other work machines . in one embodiment , interface control system 220 may transmit the collected information to the remote system ( s ) in response to a request or an event . the request may be initiated by a component of work machine 120 . further , the event may be associated with a hardware or software event , such as a command initiated by a program for providing automatic scheduled communications ( e . g ., periodic reporting applications , etc .). in one embodiment , off - board system 110 may receive and process the operator identification and work data . fig4 a illustrates and exemplary database structure for storing and presenting operator identification and work data . the database structure shown in fig4 a may be stored in a memory device in a work machine or off - board system 110 and is accessible and used by a processing device configured to perform processes consistent with the disclosed embodiments . in fig4 a , for exemplary purposes only , the gas consumption ( gc ) for each of a plurality of work machines ( wm #) is indexed based on respective operator identification information ( op #). for example , the gas consumption for work machine # 3 ( wm # 3 ) is indexed based on the operator identification information for operator ( op # 1 ) and is stored in cell 402 . in similar fashion , the gas consumption for work machine # 2 ( wm # 2 ) is indexed based on the operator identification for operator # 4 ( op # 4 ) and is stored in cell 404 . the values corresponding to the gas consumption stored in the cells of the exemplary database structure ( e . g ., gcwm 11 ) may reflect an amount of fuel consumed by each respective work machine over a predetermined period of time , such as between reporting events , a defined number of operating hours , etc . it should be noted that the fuel consumption data is exemplary , and any type of work data may be collected and stored in the database structures described herein . in another embodiment , off - board system 110 may receive and process the operator identification information and work data . the work data may be indexed based on the operator identification information and take into account other work machine related parameters . in this embodiment , the operator identification information and work data may be stored and presented in a three - dimensional matrix . fig4 b illustrates an exemplary database structure for storing and presenting operator identification , work data , and a work machine related parameter . in fig4 b , the gas consumption for each work machine ( wm #) is indexed based on the operator identification information ( op #) and the grade incline ( gi ) for the worksite where the work machine is being used . for example , the gas consumption for work machine # 1 ( wm # 1 ) is indexed based on the operator identification information for operator ( op # 1 ) and a grade incline of 20 degrees ( gi 20 ) and is stored in cell 406 . in similar fashion , the gas consumption for work machine # 1 ( wm # 1 ) is indexed based on the operator identification for operator # 1 ( op # 1 ) and a grade incline of 40 degrees ( gi 40 ) and is stored in cell 408 . in addition to the fuel consumption discussed above , other work data ( e . g ., load weight , number of engine starts , engine idle time , etc .) and work machine related parameters ( if required ) may be indexed to an identified operator . fig4 a and 4b are non - limiting exemplary database structures . other structures known in the art may used to store and present the operator identification information , work data , and the work machine related parameters . in the above mentioned embodiments , off - board system 110 may provide the collected work data , operator identification , and work related parameters ( if required ) to an operator interface ( not shown ). in the same or in an alternate embodiment , interface control system 220 may also provide the collected work data , operator identification , and work related parameters ( if required ) to an operator interface ( not shown ). through the operator interface , an operator may instruct off - board system 110 and / or interface control system 220 to provide work machine utilization metrics using the stored work data , operator identification , and work related parameters ( if required ). these metrics may reflect quantitative values associated with the performance of a work machine , operator , or groups of work machines and / or operators . for example , fig5 shows a block diagram of exemplary work machine utilization metrics in which the load weight / hour ( lw / hr ) of a group of work machines are grouped for analysis to determine the performance of the group . in this example , the work data ( lw / hr 502 ) for work machine # 1 ( wm # 1 ) and operator # 1 ( op # 1 ) and the work data ( lw / hr 504 ) for work machine 2 ( wm # 2 ) and operator # 2 ( op # 2 ) are represented as group 512 . similarly , the work data ( lw / hr 506 ) for work machine # 3 ( wm # 3 ) and operator # 3 ( op # 3 ) and the work data ( lw / hr 508 ) for work machine 4 ( wm # 4 ) and operator # 4 ( op # 4 ) are represented as group 514 . these exemplary groupings may be used to analyze the performance of a particular worksite or group of work machines under the supervision of a particular individual or group of individuals . fig6 shows a flowchart of an exemplary process for providing work machine utilization metrics . consistent with the disclosed embodiments , interface control system 220 may receive operator identification information ( step 602 ). as explained , different types of identification technologies may be used to identify an operator . for example , a radio frequency device 310 ( fig3 ) or smart card / key device may be used to transmit a chip id to interface control system 220 for verification of the operator . if the operator is not verified based on the identification information , interface control system 220 may return to step 602 to receive additional operator identification information ( step 604 ; no ). if the operator is verified ( step 604 ; yes ), interface control system 220 receives the work data associated with its respective work machine ( step 606 ). at some point , interface control system 220 stores the work data and work related parameters ( if required ) indexed to the operator identification information . ( step 608 ). at step 610 , interface control system 220 determines whether the indexed work data is to be analyzed on - board . if this determination is in the affirmative ( step 610 ; yes ), interface control system 220 further determines if the indexed work data is to be grouped for analysis ( step 614 ). if this determination is in the affirmative ( step 614 ; yes ), interface control system 220 may group and analyze the data based on the identified group ( step 618 ). analysis of the work data may include determining metric values for various mapped combinations of work machine parameter and operator identifiers . these metrics may be compared to determine those work machines and / or operators that either display efficient or non - efficient operations . the efficiency of these entities may be based on a relationship of metrics collected for a plurality of similar type entities associated with similar parameters , work site types , terrain types , and / or work machine types . for example , it may be appropriate to refrain from analyzing or comparing the performance metrics of an operator using a loader machine in a mining work site with an operator using a loader machine in an agricultural work site . along the same lines , it may be desirable to refrain from analyzing and comparing operators using different types of work machines . the above noted rules are exemplary and are not intended to be limiting . certain embodiments may include metric analysis of different work machine types , work site types , etc . once the interface control system 220 completes its analysis , the results from this processing may be reported for subsequent review by a computer implemented process or an individual ( step 620 ). however , if interface control system 220 determines that the indexed work data is not to be grouped ( step 614 ; no ), the indexed work data is analyzed for an individual operator ( step 616 ) and the resulting metrics information is reported to an operator ( step 620 ). if at step 610 , interface control system 220 determines that indexed work data is to be analyzed by an off - board system ( step 610 ; no ), the indexed work data is transmitted to an off - board system , such as remote off - board system 110 . fig7 is an exemplary flow chart showing the process that may be performed by the off - board system . as fig7 illustrates , the off - board system receives and stores the indexed work data ( step 702 ) transmitted from interface control system 220 and , at some point , determines if the indexed work data is to be grouped for analysis ( step 703 ). if this determination is in the affirmative ( step 703 ; yes ), the indexed work data is grouped and analyzed based on the identified group ( step 706 ) in a manner consistent with the processes described above in connection with steps 618 and 616 of fig6 . the resulting metrics information from the analysis may be reported to a computer implemented process and / or individual for subsequent analysis , display , etc . ( step 710 ). however , if the off - board system determines that the indexed work data is not to be grouped ( step 703 ; no ), the indexed work data is analyzed for an individual operator ( step 704 ) and the resulting metrics information is reported to a computer implemented process or individual for subsequent analysis , display , etc . ( step 710 ). methods and systems consistent with exemplary disclosed embodiments allow work machines to receive operator identification information and index work data ( e . g ., fuel consumption , load weight , engine starts , engine idle time , etc . ), and other work machine related parameters ( if required ), to the operator identification information . utilizing the disclosed methods and systems , it is possible to identify an operator and index work data and work machine related parameters , if required , to the operator . the indexed information may be provided to a user interface at the work machine or transmitted to an off - board system for display on a user interface . based on the indexed information , work machine utilization metrics may be performed to improve work machine performance . in certain embodiments , the results form the metric analysis processes performed by either off - board system 110 or work machine 120 may be further processed to adjust operations associated with the monitored operators and / or work machines . for instance , a software program or individual may analyze the performance information for a certain type of work machine operated by different operators in a common work site over a predetermined period of time . using the parameter data , the process or individual may identify those operators who are more efficient in operating the monitored work machine . for example , the value gcwm 12 in fig4 a may reflect that op # 2 uses less fuel over a similar time period than op # 1 , based on the value gcwm 11 . as explained , further analysis may be performed using the three or n - dimensional data relationships stored in the data structure shown in fig4 b . accordingly , the operations of work machines and operators may be monitored and adjusted through use of the systems and methods consistent with certain disclosed embodiments . another application of the disclosed embodiments include managing the performance of a fleet or work machines operating at one or more work sites . that is , certain embodiments enable an individual or an entity to process individual , or groups of , machine operational data indexed by one or more operators into work site and fleet utilization metrics . using these metrics , the individual or entity operating off - board system 110 , or a work machine , may manage the operations and performance of a fleet of machines and make adjustments to the machine operations . for example , if a group of work machines operating at a particular work site are associated with utilization metrics that reflect an inefficient performance of one or more tasks at the work site , the individual or entity may reassign the operators of the machines in an attempt to increase efficiency and performance of those machines . additionally , the individual or entity may reassign tasks to selected work machines and / or operators based on the metrics evaluated by off - board system 110 . moreover , individuals in charge of managing one or more of the machines at the work site may also be reassigned , such as changing foreman or supervisors based on the determined metrics of the one or more work machines . in another embodiment , off - board system 110 , or a work machine ( e . g ., work machine 120 ) may be configured to analyze the determine metrics of one or more work machines to manage the performance and operations of multiple work sites . for example , a manager of a company that have work machines operating at multiple work sites may assess the performance of each of the work sites , fleets of work machines , and / or individual or groups of individuals based on the indexed utilization metrics determined from the operational data collected from the machines operating at those work sites . based on the assessment , the manager may reassign machines , operators , and / or tasks at one or more of these work sites . the performance assessments may be performed manually and / or automatically through the use of software programs configured to evaluate the collected metrics . other embodiments , features , aspects , and principles of the disclosed exemplary systems may be implemented in various environments and are not limited to work site environment . for example , a work machine having the features of the disclosed system may perform the functions described herein in other environments , such as mobile environments between job sites , geographic locations , and settings . further , the processes disclosed herein are not inherently related to any particular system and may be implemented by a suitable combination of electrical - based components . embodiments other than those expressly described herein will be apparent to those skilled in the art from consideration of the specification and practice of the disclosed systems . it is intended that the specification and examples be considered as exemplary only , with the true scope of the invention being indicated by the following claims .