Challenge 

 I work for a government agency whose primary responsibilities are industry development and   investment promotion . In a nutshell , we encourage local and foreign investments to come into the   country by providing tax incentives and help priority industries grow by creating a conducive business   environment through policy . 

 Much of the agency ’s operations have yet to be digitized and the primary pain point that is always   identified by upper leadership is our lack of robust data analytics to drive the development and   crafting of evidence - based policies . We were recently offered a data lake developed by one of the top   IT companies in the country ; however , we were not fully ready to implement it out right . 

 Selection 

 Upon going through a design thinking process to understand how the data lake could be used best for   the agency , a multi - disciplinary team was formed in order to implement a learning launch . The team   sought to develop a proof - of - concept ( POC ) that would push quality real - time data into the data lake   for use in analytics . The learning launch was a crucial step in the project because , for the agency , this   was uncharted territory . The learning launch would provide the needed feedback so that the platform   could be implemented at a larger scale once all the kinks were worked out . 

 Application 

 The learning launch designed revolved around getting on - the - ground data to assess the supply of rice   across the country . By doing so , the necessary interventions could be put in place to create a more   efficient distribution system and avoid a shortage . To gather real - time data , a mobile application was   quickly developed where rice farmers could enter their information . The learning launch was confined   to a small geographic area that had a good amount of rice farmers that could be on - boarded into the   process . A group of volunteers was tapped to facilitate the on - boarding process and teach the rice   farmers how to properly use the mobile application . For the learning launch , there were five ( 5 ) small   groups that went out to on - board farmers and gather data . 

 Insight 

 The video lectures highlighted the importance of diversity in order to fill informational gaps and   reduce biases . Although the learning launch team was comprised of brilliant people from various   fields , we did not have anyone that was an expert in the local area . Locals were part of the   implementation phase , but not the planning phase , which led to a number of missteps during the   learning launch . 

 First , to use the mobile application , the rice farmer needed to have a smart phone . The majority of   the farmers were relatively old and/or part of the marginalized sector and , thus , could not afford a   smart phone . To address this , a small number of phones were loaned out , at least for the duration of   the learning launch . 

 Second , the mobile application had to be downloaded and installed onto the smartphone . Being a   rural area , some areas did not have cellular reception , mobile data , or wired internet connectivity .   Farmers had to be transported to the nearest town with connectivity in order to first get the   application and actually input information . 

 The learning launch was still a success ; but instead of identifying what worked , it became clear what   did n’t work and that there was a need to rethink the concept and develop an alternative solution . 

 Approach 

 Due to the ( un)successful learning launch , it would be best for the team to return to brainstorming   and integrate a member of the local community to get their inputs . This was a crucial missing factor   in the previous learning launch . With more diversity in the team and with a broader perspective in   terms of inputs , a more robust concept could be developed and eventually explored . 


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: Challenge 

 I work for a government agency whose primary responsibilities are industry development and   investment promotion . In a nutshell , we encourage local and foreign investments to come into the   country by providing tax incentives and help priority industries grow by creating a conducive business   environment through policy . 

 Much of the agency ’s operations have yet to be digitized and the primary pain point that is always   identified by upper leadership is our lack of robust data analytics to drive the development and   crafting of evidence - based policies . We were recently offered a data lake developed by one of the top   IT companies in the country ; however , we were not fully ready to implement it out right . 

 Selection 

 Upon going through a design thinking process to understand how the data lake could be used best for   the agency , a multi - disciplinary team was formed in order to implement a learning launch . The team   sought to develop a proof - of - concept ( POC ) that would push quality real - time data into the data lake   for use in analytics . The learning launch was a crucial step in the project because , for the agency , this   was uncharted territory . The learning launch would provide the needed feedback so that the platform   could be implemented at a larger scale once all the kinks were worked out . 

 Application 

 The learning launch designed revolved around getting on - the - ground data to assess the supply of rice   across the country . By doing so , the necessary interventions could be put in place to create a more   efficient distribution system and avoid a shortage . To gather real - time data , a mobile application was   quickly developed where rice farmers could enter their information . The learning launch was confined   to a small geographic area that had a good amount of rice farmers that could be on - boarded into the   process . A group of volunteers was tapped to facilitate the on - boarding process and teach the rice   farmers how to properly use the mobile application . For the learning launch , there were five ( 5 ) small   groups that went out to on - board farmers and gather data . 

 Insight 

 The video lectures highlighted the importance of diversity in order to fill informational gaps and   reduce biases . Although the learning launch team was comprised of brilliant people from various   fields , we did not have anyone that was an expert in the local area . Locals were part of the   implementation phase , but not the planning phase , which led to a number of missteps during the   learning launch . 

 First , to use the mobile application , the rice farmer needed to have a smart phone . The majority of   the farmers were relatively old and/or part of the marginalized sector and , thus , could not afford a   smart phone . To address this , a small number of phones were loaned out , at least for the duration of   the learning launch . 

 Second , the mobile application had to be downloaded and installed onto the smartphone . Being a   rural area , some areas did not have cellular reception , mobile data , or wired internet connectivity .   Farmers had to be transported to the nearest town with connectivity in order to first get the   application and actually input information . 

 The learning launch was still a success ; but instead of identifying what worked , it became clear what   did n’t work and that there was a need to rethink the concept and develop an alternative solution . 

 Approach 

 Due to the ( un)successful learning launch , it would be best for the team to return to brainstorming   and integrate a member of the local community to get their inputs . This was a crucial missing factor   in the previous learning launch . With more diversity in the team and with a broader perspective in   terms of inputs , a more robust concept could be developed and eventually explored .
### Output: 