Reflection : Visualization 

 Challenge 

 I am presently running in a indexed conventional financial institution in our country as a   Financial Reporting Analyst . Our group is tasked to offer well timed and correct monetary   reviews for the complete unibank and its subsidiaries for month - to - month board   conferences and control purposes . Our normal month - to - month reviews encompass   however now no longer restrained to Statement of Condition , Statement of Operation ,   Statement of Cash Flows , and Statement of Changes in Capital Funds and the Operating   Performance Analysis Report ( OPA ) . 

 It changed into round March 2021 while our counter - element unit raised a few remarks   and clarifications on Operating Performance Analysis Report . They discovered out that   there are inconsistencies in regards to mapping / tagging of positive mortgage GL codes   throughout extraordinary reviews at financial institution huge degree and in step with solo   reviews . They argued that this inconsistencies had been affecting phase reviews and in   step with product reviews which may be very essential in selection making . 

 The mapping / tagging in query has already been in use for pretty a protracted time .   Previous personnel and officials worried while assigning of tags for GL codes has already   left the financial institution . With this , we need to begin from the scratch to recognise the   cause of this inconsistencies and tagging . 

 Selection 

 With the stated trouble in mind , our group comes to a decision to visualise and realize   first what our counter - component unit seeking to increase and if there truely is   inconsistencies . With the stated trouble in mind , our group comes to a decision to   visualise and realize first what our counter - component unit seeking to increase and if   there truely is inconsistencies . 

 Application 

 To start , we requested the inquiring unit to offer because the listing of GL codes that they   have been inquiring . I attempted to analyze first and draw / listing a type of chart or map   so as to assist as perceive the cause of inconsistencies . First I attempted to split the GL   codes into earnings and asset categories . I created sheets within side the excel report for   every categories . Then , I placed five extra columns for GL code title , GL code description ,   Corp code of entities presenting the mortgage to peer the their mortgage tagging   throughout those entities , findings column to summarize narrate the findings , and   proposed solution . After laying out all of those , we effortlessly discover the ache factors   or the trouble factors that reasons inconsistencies and we 're capable of effortlessly   perceive the proper devices to invite or refer our findings . In this way of presentation , the 

 devices in which we refer our findings effortlessly comprehends what we 're looking to ask   them . 

 Insight and Approach 

 After this pastime , we have been capable of align the stated inconsistencies and we ’re   capable of apprehend that every organizations beneath our umbrella sincerely has unique   types of product classifications and that there need to be a separate GL codes for every   product for us to maximize using section reports . This pastime lead us to every other GL   mapping clean - up activities . 

 We have found out that way of presentation and visualization sincerely allows the trouble   solver to without difficulty discover ache factors and are seeking solutions . 


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 : Visualization 

 Challenge 

 I am presently running in a indexed conventional financial institution in our country as a   Financial Reporting Analyst . Our group is tasked to offer well timed and correct monetary   reviews for the complete unibank and its subsidiaries for month - to - month board   conferences and control purposes . Our normal month - to - month reviews encompass   however now no longer restrained to Statement of Condition , Statement of Operation ,   Statement of Cash Flows , and Statement of Changes in Capital Funds and the Operating   Performance Analysis Report ( OPA ) . 

 It changed into round March 2021 while our counter - element unit raised a few remarks   and clarifications on Operating Performance Analysis Report . They discovered out that   there are inconsistencies in regards to mapping / tagging of positive mortgage GL codes   throughout extraordinary reviews at financial institution huge degree and in step with solo   reviews . They argued that this inconsistencies had been affecting phase reviews and in   step with product reviews which may be very essential in selection making . 

 The mapping / tagging in query has already been in use for pretty a protracted time .   Previous personnel and officials worried while assigning of tags for GL codes has already   left the financial institution . With this , we need to begin from the scratch to recognise the   cause of this inconsistencies and tagging . 

 Selection 

 With the stated trouble in mind , our group comes to a decision to visualise and realize   first what our counter - component unit seeking to increase and if there truely is   inconsistencies . With the stated trouble in mind , our group comes to a decision to   visualise and realize first what our counter - component unit seeking to increase and if   there truely is inconsistencies . 

 Application 

 To start , we requested the inquiring unit to offer because the listing of GL codes that they   have been inquiring . I attempted to analyze first and draw / listing a type of chart or map   so as to assist as perceive the cause of inconsistencies . First I attempted to split the GL   codes into earnings and asset categories . I created sheets within side the excel report for   every categories . Then , I placed five extra columns for GL code title , GL code description ,   Corp code of entities presenting the mortgage to peer the their mortgage tagging   throughout those entities , findings column to summarize narrate the findings , and   proposed solution . After laying out all of those , we effortlessly discover the ache factors   or the trouble factors that reasons inconsistencies and we 're capable of effortlessly   perceive the proper devices to invite or refer our findings . In this way of presentation , the 

 devices in which we refer our findings effortlessly comprehends what we 're looking to ask   them . 

 Insight and Approach 

 After this pastime , we have been capable of align the stated inconsistencies and we ’re   capable of apprehend that every organizations beneath our umbrella sincerely has unique   types of product classifications and that there need to be a separate GL codes for every   product for us to maximize using section reports . This pastime lead us to every other GL   mapping clean - up activities . 

 We have found out that way of presentation and visualization sincerely allows the trouble   solver to without difficulty discover ache factors and are seeking solutions .
### Output: 