System and method to evaluate enterprise data analyst training candidates
A system may include a training candidate data store containing electronic records. Each record may include a training candidate identifier and a set of candidate parameters. A training candidate evaluation tool receives, from a remote evaluation device, an indication of a selected training candidate. The tool may then retrieve information about the selected training candidate and automatically calculate, using at least some of the candidate parameters, an enterprise data analyst training score for the selected training candidate. The tool may then transmit the enterprise data analyst training score to a remote evaluation device and receive an indication of acceptance. The enterprise data analyst training score and set of candidate parameters may then be stored in a result data store, and a training workflow may be automatically assigned to the selected training candidate in accordance with the enterprise data analyst training score and enterprise logic.
1 . A system to facilitate a data analyst training program for an enterprise, comprising:
(a) a training candidate data store containing electronic records, each record including a training candidate identifier and a set of candidate parameters;
(b) a training candidate evaluation tool, coupled to the training candidate data store, including:
a computer processor for executing program instructions; and
a memory, coupled to the computer processor, storing program instructions that, when executed by the computer processor, cause the training candidate evaluation tool to:
receive, from a remote evaluation device via a distributed communication network, an indication of a selected training candidate,
retrieve, from the training candidate data store, information about the selected training candidate,
retrieve information from a Machine Learning (“ML”) process, an Artificial Intelligence (“AI”) algorithm, and predictive models,
based on the retrieved information about the selected candidate and the retrieved information from the ML process, the AI algorithm, and the predictive models, automatically calculate, using at least some of the candidate parameters, an enterprise data analyst training score for the selected training candidate,
transmit the enterprise data analyst training score to the remote evaluation device,
receive, from the remote evaluation device, an indication of acceptance of the enterprise data analyst training score including at least one adjustment to the enterprise data analyst training score,
responsive to the received indication of acceptance, store the enterprise data analyst training score in a result data store,
automatically assign a training workflow to the selected training candidate in accordance with the enterprise data analyst training score and enterprise logic, and
provide evaluation feedback to the ML process so that a scoring engine can be automatically improved;
(c) a communication port coupled to the training candidate evaluation tool to facilitate a transmission of data with the remote evaluation device to provide a graphical interactive user interface display via the distributed communication network, the graphical interactive user interface including an indication of the assigned training workflow; and
(d) an email server, a workflow application, and a calendar application that receive information directly from the training the candidate evaluation tool to facilitate candidate evaluation and management.
2 . The system of claim 1 , wherein the set of candidate parameters include at least one of: (i) resume data, (ii) performance evaluations, (iii) questionnaire responses, and (iv) test scores.
3 . The system of claim 1 , wherein the training candidate evaluation tool identifies a set of enterprise subjects and types of knowledge associated with a target area and finds enterprise units and staff to populate the training candidate data store.
4 . The system of claim 3 , wherein the training candidate evaluation tool automatically collects information from leaders of the found enterprise units to determine training needs.
5 . The system of claim 1 , wherein the training candidate evaluation tool allows staff to be nominated for inclusion in the training candidate data store.
6 . The system of claim 1 , wherein the training candidate evaluation tool uses hands-on exercises as a means of evaluation and screening staff for inclusion in the training candidate data store.
7 . The system of claim 1 , wherein the training workflow educates staff about technology and data basics.
8 . The system of claim 1 , wherein the training candidate evaluation tool automatically collects feedback from a target area to improve the data analyst training program.
9 . The system of claim 1 , wherein the enterprise comprises an insurer and the assigned training workflow is associated with business data analyst training.
10 . A computer-implemented method to facilitate a data analyst training program for an enterprise, comprising:
receiving, by a computer processor of a training candidate evaluation tool from a remote evaluation device via a distributed communication network, an indication of a selected training candidate;
retrieving, from a training candidate data store, information about the selected training candidate, wherein the training candidate data store contains electronic records, each record including a training candidate identifier and a set of candidate parameters;
retrieving information from a Machine Learning (“ML”) process, an Artificial Intelligence (“AI”) algorithm, and predictive models;
based on the retrieved information about the selected candidate and the retrieved information from the ML process, the AI algorithm, and the predictive models, automatically calculating, using at least some of the candidate parameters, an enterprise data analyst training score for the selected training candidate;
transmitting the enterprise data analyst training score to the remote evaluation device;
receiving, from the remote evaluation device, an indication of acceptance of the enterprise data analyst training score including at least one adjustment to the enterprise data analyst training score;
responsive to the received indication of acceptance, storing the enterprise data analyst training score in a result data store;
automatically assigning a training workflow to the selected training candidate in accordance with the enterprise data analyst training score and enterprise logic,
providing evaluation feedback to the ML process so that a scoring engine can be automatically improved, and
receiving at an email server, a workflow application, and a calendar application information directly from the training the candidate evaluation tool to facilitate candidate evaluation and management.
11 . The method of claim 10 , wherein the set of candidate parameters include at least one of: (i) resume data, (ii) performance evaluations, (iii) questionnaire responses, and (iv) test scores.
12 . The method of claim 10 , wherein the training candidate evaluation tool identifies a set of enterprise subjects and types of knowledge associated with a target area and finds enterprise units and staff to populate the training candidate data store.
13 . A non-transitory computer-readable medium storing instructions adapted to be executed by a computer processor to perform a method to facilitate a data analyst training program for an enterprise, the method comprising:
receiving, by a computer processor of a training candidate evaluation tool from a remote evaluation device via a distributed communication network, an indication of a selected training candidate;
retrieving, from a training candidate data store, information about the selected training candidate, wherein the training candidate data store contains electronic records, each record including a training candidate identifier and a set of candidate parameters;
retrieving information from a Machine Learning (“ML”) process, an Artificial Intelligence (“AI”) algorithm, and predictive models;
based on the retrieved information about the selected candidate and the retrieved information from the ML process, the AI algorithm, and the predictive models, automatically calculating, using at least some of the candidate parameters, an enterprise data analyst training score for the selected training candidate;
transmitting the enterprise data analyst training score to the remote evaluation device;
receiving, from the remote evaluation device, an indication of acceptance of the enterprise data analyst training score including at least one adjustment to the enterprise data analyst training score;
responsive to the received indication of acceptance, storing the enterprise data analyst training score in a result data store;
automatically assigning a training workflow to the selected training candidate in accordance with the enterprise data analyst training score and enterprise logic,
providing evaluation feedback to the ML process so that a scoring engine can be automatically improved, and
receiving at an email server, a workflow application, and a calendar application information directly from the training the candidate evaluation tool to facilitate candidate evaluation and management.
14 . The medium of claim 13 , wherein the training candidate evaluation tool allows staff to be nominated for inclusion in the training candidate data store.
15 . The medium of claim 13 , wherein the training candidate evaluation tool uses hands-on exercises as a means of evaluation and screening staff for inclusion in the training candidate data store.
16 . The medium of claim 13 , wherein the training workflow educates staff about technology and data basics.