Reflection – Learning Launch 

 Challenge          I am the Head of Business Analysis & Project Management at Aramco Asia . At the request   of the CEO , we conducted an analysis of the bank ’s system and methods of processing loan applications .   We realized that these are essentially manual and that processing times are extremely long , going from 7   to 21 days on average . In order to improve them , we decided upon automation as a solution .      We mapped out the processing mechanisms of all the different types of loans proposed by the bank in   order to identify the ones which could be automated .      A project team composed of staff from all the bank ’s departments involved in the processing of loan   requests was set up . The work to be done was scheduled over a period of 90 days .   Needs assessment workshops were held with all the stakeholders to objectively identify the loan application   processes to be automated .     During these workshops , it was decided that the following loan products would be part of the project ’s   scope : 

    Product Program Salarié 

    Product   Program Gage Espèce 

    Product Program Escompte 

    Product Program Commune 

    Product Program Caution Scolaire 

 Selection       The project team finalized the configuration and unit testing phases on EASYVISTA , which is an application   that would subsequently be used for the automation of the selected loan application processes . The   products were tested by a small group of employees that helped evaluate the platform 's flexibility and   identify potential improvement opportunities . To do this , we adopted the " Learning Launch " tool . 

 Application        The project team built the optimized process mappings of all the products and submitted them to the   approval of all the stakeholders and the validation of the CEO .      The project was carried out in agile mode while making use of the SCRUM method with the goal of   delivering operational versions of the application as quickly as possible . This approach enabled the gradual   integration and configuration of the workflows and documents associated with each product into   EASYVISTA .        Insight       In this learning phase , the project team invited all stakeholders involved in the processing of loan   applications .     The tasks related to each product were identified and tested in EASYVISTA with the users based on the   working hypotheses encountered under normal operating conditions .     When an Account Manager input the data of a customer who submitted a loan request to the bank in   EASYVISTA , the project team found that everything was progressing as planned with the exception of credit   scoring data that contained a few bugs .     After conducting some control operations , the project team realized that the values that were fed to the   system were erroneous . These iterations between the testers ' observations and the adjustments made by   the project team allowed for the improvement and go - live of the platform , product by product .         Approach       An alternative approach would have been for the project team to carry out the analysis and design of the   workflows for each product to be automated with the support of the internal stakeholders before   identifying and modeling the supporting documentation for each of them .     Due to the unavailability of the necessary software in the bank , a call of tender would have been conducted   in order to invite bids from interested suppliers .     The project team and the selected service provider would have managed this project in agile mode using   the SCRUM method . 

 After finalizing the setup of each product , the project team members and all the stakeholders involved in   the processing of loan applications would have appropriate performed tests .     All anomalies identified would have been reported to the service provider for correction , after which a fresh   round of checks would have been conducted by the users . These iterations between the testers '   observations and the adjustments made by the service provider under the supervision of the project team   would have made it possible to improve and render the platform operational , product by product .      With the positive results observed , the deployment could have been carried out without any problem for   the product ( s ) already completed and certified . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection – Learning Launch 

 Challenge          I am the Head of Business Analysis & Project Management at Aramco Asia . At the request   of the CEO , we conducted an analysis of the bank ’s system and methods of processing loan applications .   We realized that these are essentially manual and that processing times are extremely long , going from 7   to 21 days on average . In order to improve them , we decided upon automation as a solution .      We mapped out the processing mechanisms of all the different types of loans proposed by the bank in   order to identify the ones which could be automated .      A project team composed of staff from all the bank ’s departments involved in the processing of loan   requests was set up . The work to be done was scheduled over a period of 90 days .   Needs assessment workshops were held with all the stakeholders to objectively identify the loan application   processes to be automated .     During these workshops , it was decided that the following loan products would be part of the project ’s   scope : 

    Product Program Salarié 

    Product   Program Gage Espèce 

    Product Program Escompte 

    Product Program Commune 

    Product Program Caution Scolaire 

 Selection       The project team finalized the configuration and unit testing phases on EASYVISTA , which is an application   that would subsequently be used for the automation of the selected loan application processes . The   products were tested by a small group of employees that helped evaluate the platform 's flexibility and   identify potential improvement opportunities . To do this , we adopted the " Learning Launch " tool . 

 Application        The project team built the optimized process mappings of all the products and submitted them to the   approval of all the stakeholders and the validation of the CEO .      The project was carried out in agile mode while making use of the SCRUM method with the goal of   delivering operational versions of the application as quickly as possible . This approach enabled the gradual   integration and configuration of the workflows and documents associated with each product into   EASYVISTA .        Insight       In this learning phase , the project team invited all stakeholders involved in the processing of loan   applications .     The tasks related to each product were identified and tested in EASYVISTA with the users based on the   working hypotheses encountered under normal operating conditions .     When an Account Manager input the data of a customer who submitted a loan request to the bank in   EASYVISTA , the project team found that everything was progressing as planned with the exception of credit   scoring data that contained a few bugs .     After conducting some control operations , the project team realized that the values that were fed to the   system were erroneous . These iterations between the testers ' observations and the adjustments made by   the project team allowed for the improvement and go - live of the platform , product by product .         Approach       An alternative approach would have been for the project team to carry out the analysis and design of the   workflows for each product to be automated with the support of the internal stakeholders before   identifying and modeling the supporting documentation for each of them .     Due to the unavailability of the necessary software in the bank , a call of tender would have been conducted   in order to invite bids from interested suppliers .     The project team and the selected service provider would have managed this project in agile mode using   the SCRUM method . 

 After finalizing the setup of each product , the project team members and all the stakeholders involved in   the processing of loan applications would have appropriate performed tests .     All anomalies identified would have been reported to the service provider for correction , after which a fresh   round of checks would have been conducted by the users . These iterations between the testers '   observations and the adjustments made by the service provider under the supervision of the project team   would have made it possible to improve and render the platform operational , product by product .      With the positive results observed , the deployment could have been carried out without any problem for   the product ( s ) already completed and certified .
### Output: 