INSIGHTS TREE – Learning Launch 

 Challenge 

 I belong to the data analytics team for my organization and was involved in one of the projects for one   our clients to identify the insights related to Finance data of the organization . The main scope included    identifying why certain sectors , services , technologies , regions and countries are not performing with   respect to the overall revenue , cost , gross profit & gross margin so that business can take necessary   actions to avoid these misses .The main stakeholder involved was the CFO of the organization for whom   the insights were really important to take financial decisions month - on - month . The ask from him was to   create an UI so that he can use this and just by clicking on the insights and the main insights should be   highlighted to him . 

 Selection 

 Our team went through multiple rounds of discussions to find out what should be suitable way to put   the outputs and finance people are mostly comfortable with numbers . We use the technique of   Learning launch to create an interactive UI with numbers on a small data set which can behave as a   prototype to show how the solution works and also the stakeholders would get a sense of how the   solution would eventually look like . 

 Application 

 For the first learning launch , we took a small data set with couple of metrics like revenue and cost and   created the solution keeping into account the hierarchy at which the business wanted to see the data . Let   us start with revenue , for revenue we had the overall revenue numbers , Under the overall revenue   numbers , we had sectors in which revenue was divided . Under each sector we had multiple services and   again under each service we had multiple technologies , under each technology we had multiple regions   and finally under each region we had multiple countries . The user was given an option to choose the no   of insights he wanted to see at each level .   Also , he was given an option to choose between metrics which   he wanted to see and compare against another metric . Another feature given to the user was to change   the hierarchy based on his convenience . The prototype was given 5 finance stakeholders to take their   feedback on the same . 

 After getting the respective feedbacks , changes were incorporated and were applied to the prototype .   Finally , after all the feedbacks were incorporated the prototype was presented to the CFO for hid final   feedback . 

 Insights 

 By applying the learning launch tool with revenue and cost numbers , we were able to find out insights   which were important for the business to take actions . The insights clearly showed why revenue and cost   were impacted at each level , the solution was able to find out the most important insights . These insights   were compared against the manual way of insights creation which they followed earlier . 

 On comparison , almost 90 % of all - important insights matched with the client insights . The remaining 10 %   were take an area of improvement which would be take up once we start a full - scale work and   enhancement on the solution . 

 Approach 

 Given that our team has already gone through several design thinking activities / tools and are at this stage   in the timeline , the learning launch is the appropriate tool . As previously mentioned , our team needs to   review the insight gained from our first   launche and incorporate this insight into future launch designs .   Future launch designs should reflect insight gained , progress made , and come closer to a compelling   solution ready for full rollout . 


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: INSIGHTS TREE – Learning Launch 

 Challenge 

 I belong to the data analytics team for my organization and was involved in one of the projects for one   our clients to identify the insights related to Finance data of the organization . The main scope included    identifying why certain sectors , services , technologies , regions and countries are not performing with   respect to the overall revenue , cost , gross profit & gross margin so that business can take necessary   actions to avoid these misses .The main stakeholder involved was the CFO of the organization for whom   the insights were really important to take financial decisions month - on - month . The ask from him was to   create an UI so that he can use this and just by clicking on the insights and the main insights should be   highlighted to him . 

 Selection 

 Our team went through multiple rounds of discussions to find out what should be suitable way to put   the outputs and finance people are mostly comfortable with numbers . We use the technique of   Learning launch to create an interactive UI with numbers on a small data set which can behave as a   prototype to show how the solution works and also the stakeholders would get a sense of how the   solution would eventually look like . 

 Application 

 For the first learning launch , we took a small data set with couple of metrics like revenue and cost and   created the solution keeping into account the hierarchy at which the business wanted to see the data . Let   us start with revenue , for revenue we had the overall revenue numbers , Under the overall revenue   numbers , we had sectors in which revenue was divided . Under each sector we had multiple services and   again under each service we had multiple technologies , under each technology we had multiple regions   and finally under each region we had multiple countries . The user was given an option to choose the no   of insights he wanted to see at each level .   Also , he was given an option to choose between metrics which   he wanted to see and compare against another metric . Another feature given to the user was to change   the hierarchy based on his convenience . The prototype was given 5 finance stakeholders to take their   feedback on the same . 

 After getting the respective feedbacks , changes were incorporated and were applied to the prototype .   Finally , after all the feedbacks were incorporated the prototype was presented to the CFO for hid final   feedback . 

 Insights 

 By applying the learning launch tool with revenue and cost numbers , we were able to find out insights   which were important for the business to take actions . The insights clearly showed why revenue and cost   were impacted at each level , the solution was able to find out the most important insights . These insights   were compared against the manual way of insights creation which they followed earlier . 

 On comparison , almost 90 % of all - important insights matched with the client insights . The remaining 10 %   were take an area of improvement which would be take up once we start a full - scale work and   enhancement on the solution . 

 Approach 

 Given that our team has already gone through several design thinking activities / tools and are at this stage   in the timeline , the learning launch is the appropriate tool . As previously mentioned , our team needs to   review the insight gained from our first   launche and incorporate this insight into future launch designs .   Future launch designs should reflect insight gained , progress made , and come closer to a compelling   solution ready for full rollout .
### Output: 