Mind Mapping 

 Challenge 

 At my employer , which operates in the import and distribution of food products , new management   started the conversation about empowering the sales force to make more decentralized decisions , to   allow them to seize opportunities that can not be predicted or planned by the headquarters . In this   context my team , IT , has been tasked with ensuring that the sales reporting available to them is fit for   purpose . 

 Selection 

 In the initial as - is steps we proceeded with ethnological interviews and collected data from two main   groups within the company : form sales representatives and their management and from the IT analysts   who work with the sales department . We used semi - structured interviews which included open   questions , to ensure we capture individual experiences and stories . 

 This provided a large volume of information , in different formats , like statistics , such as response times   or how often each available report is used , but more important , individual stories detailing the gaps   between the needs of the sales reps and the current capabilities . With tens of stories collected we   thought that the best approach is to use mind mapping . 

 Application 

 The findings were presented to a group of decision makers mixed with the most insightful interviewees   using a large wall in a conference room .   Some grouping them into themes was done in advance , but as   well the full text results of interviews were displayed . The participants have been provided with time to   read through all materials in advance of the session and prepare their notes . After that they split in   three different groups , in separate meeting rooms , and discussed and aligned their findings . In the next   steps each of the groups presented their approach to the entire team . The complete group worked from   there to restate the findings as insights . 

 Insight 

 The principal finding was that although we focused on IT systems and sales reps , the most important   element to the data used was the existence in the organization of the employees in sales analyst roles ,   which were overloaded and often unable to process requests in due time . That was due to a few   reasons : reports were lacking deep dive functionalities and detailed analyses had to be requested to the   analysts on ad - hoc bases ; the business intelligence solution could not combine data from some of the   applications , and cross - functional reports must be manually generated in excel ; the reports did not have   phone - screen friendly versions ; there was no visual alignment between reports , for example one will   produce colorful pie - charts while another uses bar charts in shades of grey , so they had to be reworked   when a presentation was done to an external client . A simplified insights chart would look like this : 

 If we would have used a traditional approach , for example focusing on collecting numerical data and   improving performance parameters , we would have missed this insight , and the follow up journey that   we embarked on , by defining the criteria for our future , re - designed sales reporting tool to be a self- service , visual reporting tool that gives the sales rep direct access into existing data and the ability to   create bespoke reports in a simple intuitive way . 

 Approach 

 Reflecting on the approach , one step that we could have done differently is to follow the individual   interviews with group discussions of the same people that were initially interviewed . The advantage   would be to eliminate the noise in the original findings before starting the mind mapping activities with   the decision makers . To give an example some sales reps mentioned the unavailability of WiFi while out   of office , which turned out is was due to the lack of training in creating a mobile hotspot . Additionally ,   such discussion between peers might have helped uncovering more issues and generating more ideas   from the sheer interaction . 


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: Mind Mapping 

 Challenge 

 At my employer , which operates in the import and distribution of food products , new management   started the conversation about empowering the sales force to make more decentralized decisions , to   allow them to seize opportunities that can not be predicted or planned by the headquarters . In this   context my team , IT , has been tasked with ensuring that the sales reporting available to them is fit for   purpose . 

 Selection 

 In the initial as - is steps we proceeded with ethnological interviews and collected data from two main   groups within the company : form sales representatives and their management and from the IT analysts   who work with the sales department . We used semi - structured interviews which included open   questions , to ensure we capture individual experiences and stories . 

 This provided a large volume of information , in different formats , like statistics , such as response times   or how often each available report is used , but more important , individual stories detailing the gaps   between the needs of the sales reps and the current capabilities . With tens of stories collected we   thought that the best approach is to use mind mapping . 

 Application 

 The findings were presented to a group of decision makers mixed with the most insightful interviewees   using a large wall in a conference room .   Some grouping them into themes was done in advance , but as   well the full text results of interviews were displayed . The participants have been provided with time to   read through all materials in advance of the session and prepare their notes . After that they split in   three different groups , in separate meeting rooms , and discussed and aligned their findings . In the next   steps each of the groups presented their approach to the entire team . The complete group worked from   there to restate the findings as insights . 

 Insight 

 The principal finding was that although we focused on IT systems and sales reps , the most important   element to the data used was the existence in the organization of the employees in sales analyst roles ,   which were overloaded and often unable to process requests in due time . That was due to a few   reasons : reports were lacking deep dive functionalities and detailed analyses had to be requested to the   analysts on ad - hoc bases ; the business intelligence solution could not combine data from some of the   applications , and cross - functional reports must be manually generated in excel ; the reports did not have   phone - screen friendly versions ; there was no visual alignment between reports , for example one will   produce colorful pie - charts while another uses bar charts in shades of grey , so they had to be reworked   when a presentation was done to an external client . A simplified insights chart would look like this : 

 If we would have used a traditional approach , for example focusing on collecting numerical data and   improving performance parameters , we would have missed this insight , and the follow up journey that   we embarked on , by defining the criteria for our future , re - designed sales reporting tool to be a self- service , visual reporting tool that gives the sales rep direct access into existing data and the ability to   create bespoke reports in a simple intuitive way . 

 Approach 

 Reflecting on the approach , one step that we could have done differently is to follow the individual   interviews with group discussions of the same people that were initially interviewed . The advantage   would be to eliminate the noise in the original findings before starting the mind mapping activities with   the decision makers . To give an example some sales reps mentioned the unavailability of WiFi while out   of office , which turned out is was due to the lack of training in creating a mobile hotspot . Additionally ,   such discussion between peers might have helped uncovering more issues and generating more ideas   from the sheer interaction .
### Output: 