Reflection – Learning Launch to optimize Turn Around Time 

 Challenge     Every industry is focused on how fast it can accomplish customer ’s need and enhance the   experience by new ways of working . Banking industry is much ahead in the race . Being a Strategic   Consultant from IT company , I was working on a solution as well as strategic roadmap for our global   banking customer . The existing Home Loan process was taking much longer time to fulfill , typically   20 – 30 business days . It was quite high as compared to the competitors in the same country .   The   Home Loan department of this bank is spread geographically and had centralized branch taking final   decision . Based on the regulations and norms set by the government of the country , various   documents need to be submitted as a proof . It also varies based on applicant ’s category ( pre - defined   by government ) . The key challenge was 70 % of the documents did not have standard format while   almost 80 % were partially handwritten forms .   The end - to - end process was 80 % manual with   multiple hand - off within and outside the department .     Selection     We went through sufficient rounds of story - telling with key personas of the process , from the   marketing person , to the authority of bank taking final decision on approval of Home Loan . We also   did a ' Gemba Walk ’ or capturing ‘ Day in Life ’ and made our observations . We gathered insights on   the tools and ideated . With this homework we decided to get into Learning Launch tool .    The Learning Launch Process , as explained by Stefan Lehmann , was the best approach to start with .   Based on the empathy of customer and data gathered , we decided to go with our approach of   automation and process optimization . However , rather than rolling in entirely , we decided to test   the feasibility of automation first .   Learning Launch Design template helped strategize the scope . We   decided to prototype our design and get it tested .      Application      As the document proofs were the critical part , in our First Learning Launch , we focused on analyzing   and identifying common documents , categorizing proofs as 100 % e - documents , standard but   handwritten and non - standard & handwritten and other such types . Tried reading samples using e- readers and capturing electronically at common storage . We got our results validated from selected   group of customers . Though few document samples disappointed on automation , we reserved them   for big picture . However , this gave us a high - level idea of % automation that can be implemented to   start with .      Second Learning Launch was on Leaning the Flow . We analyzed the value chain and identified lean   opportunities , applied inputs from the tested and proved automation from the First Learning Launch   prototype . We identified opportunities of parallel validating processes , suggested lean decision   making for interim approvals in distributed geography , enabling transparency and providing   authority . System thinking was applied to automate the flow to maximum possible extent using   latest technology like RPA and executed the process .      Third Learning Launch will be to work on strategic roadmap to broaden the scope of digital   transformation and bridge the gap by converting maximum proofs in e - form and standardized   format and making them available on the website . 

 Insight      Using the Learning Launch tool and being agile by ‘ Fail early fail fast ’ , and course correct , we could   confirm the approach in quick sprints . Iterating thro ’ cycles of Prototype creation , testing with   customers , receiving and incorporating feedback in next cycle of prototype , helped reaching closer   to the realistic solution . We were assured of utilization of right tools for automation and optimized   process flow . Most important , we gained acceptance of customer for New way of working . We were   able to achieve reduction in turn - around time to a good extent . However , for better results , we need   to lean the processes further . We have provided a strategic roadmap to apply process optimization   at enterprise level and system thinking to bring uniformity in tools giving best results of automation .      Approach      Learning Launch tool proved the most appropriate in bringing Customer Centricity from ideation to   reality . Key validation processes in granting the loan , with unavoidable human intervention , opened   more approaches in ideating and prototyping , which broaden our perspective of looking at the   problem . The sprints of Learning Launches helped us course correct the failures economically .   Experiential learning that added confidence will help us long way in detailing the roadmap ahead . 


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 to optimize Turn Around Time 

 Challenge     Every industry is focused on how fast it can accomplish customer ’s need and enhance the   experience by new ways of working . Banking industry is much ahead in the race . Being a Strategic   Consultant from IT company , I was working on a solution as well as strategic roadmap for our global   banking customer . The existing Home Loan process was taking much longer time to fulfill , typically   20 – 30 business days . It was quite high as compared to the competitors in the same country .   The   Home Loan department of this bank is spread geographically and had centralized branch taking final   decision . Based on the regulations and norms set by the government of the country , various   documents need to be submitted as a proof . It also varies based on applicant ’s category ( pre - defined   by government ) . The key challenge was 70 % of the documents did not have standard format while   almost 80 % were partially handwritten forms .   The end - to - end process was 80 % manual with   multiple hand - off within and outside the department .     Selection     We went through sufficient rounds of story - telling with key personas of the process , from the   marketing person , to the authority of bank taking final decision on approval of Home Loan . We also   did a ' Gemba Walk ’ or capturing ‘ Day in Life ’ and made our observations . We gathered insights on   the tools and ideated . With this homework we decided to get into Learning Launch tool .    The Learning Launch Process , as explained by Stefan Lehmann , was the best approach to start with .   Based on the empathy of customer and data gathered , we decided to go with our approach of   automation and process optimization . However , rather than rolling in entirely , we decided to test   the feasibility of automation first .   Learning Launch Design template helped strategize the scope . We   decided to prototype our design and get it tested .      Application      As the document proofs were the critical part , in our First Learning Launch , we focused on analyzing   and identifying common documents , categorizing proofs as 100 % e - documents , standard but   handwritten and non - standard & handwritten and other such types . Tried reading samples using e- readers and capturing electronically at common storage . We got our results validated from selected   group of customers . Though few document samples disappointed on automation , we reserved them   for big picture . However , this gave us a high - level idea of % automation that can be implemented to   start with .      Second Learning Launch was on Leaning the Flow . We analyzed the value chain and identified lean   opportunities , applied inputs from the tested and proved automation from the First Learning Launch   prototype . We identified opportunities of parallel validating processes , suggested lean decision   making for interim approvals in distributed geography , enabling transparency and providing   authority . System thinking was applied to automate the flow to maximum possible extent using   latest technology like RPA and executed the process .      Third Learning Launch will be to work on strategic roadmap to broaden the scope of digital   transformation and bridge the gap by converting maximum proofs in e - form and standardized   format and making them available on the website . 

 Insight      Using the Learning Launch tool and being agile by ‘ Fail early fail fast ’ , and course correct , we could   confirm the approach in quick sprints . Iterating thro ’ cycles of Prototype creation , testing with   customers , receiving and incorporating feedback in next cycle of prototype , helped reaching closer   to the realistic solution . We were assured of utilization of right tools for automation and optimized   process flow . Most important , we gained acceptance of customer for New way of working . We were   able to achieve reduction in turn - around time to a good extent . However , for better results , we need   to lean the processes further . We have provided a strategic roadmap to apply process optimization   at enterprise level and system thinking to bring uniformity in tools giving best results of automation .      Approach      Learning Launch tool proved the most appropriate in bringing Customer Centricity from ideation to   reality . Key validation processes in granting the loan , with unavoidable human intervention , opened   more approaches in ideating and prototyping , which broaden our perspective of looking at the   problem . The sprints of Learning Launches helped us course correct the failures economically .   Experiential learning that added confidence will help us long way in detailing the roadmap ahead .
### Output: 