I currently work as a data project leader for a Long Term Rental company that lease vehicles with full   services . More and more of our vehicles are equipped with Telematics Black Boxes , which log events   ( such as speed , braking , cornering , acceleration , … ) and provide to us lot of data . 

 Some weeks ago , our Insurance Business line managers asked us to build a driving score , correlated   to the accident rate . Working with data science team , we succeed in building a model , based on the   driving events collected from the Black Boxes the previous months , that could predict the risk for the   driver to have an accident the next month . The remaining point was to translate the risk ratio of our   model into a driving score easily understandable by the client and/or the driver . To better define this   score , I proposed to the Business stakeholders to participate to a workshop , where everyone would   have to imagine and describe the final usage that could be done from this new driving score . 

 Working with data scientists , I had already experienced how powerful are the data Visualization   tools , whether for exploratory data analysis , or to communicate clearly on data , and to support   recommendations to different stakeholders . This time , I wanted to experiment visualization , not to   communicate on data insights , but to check how it could be helpful to use visualization to collaborate   in sharing ideas and building products or services . 

 Before the workshop , I asked to each participant to think about the way he / she imagines to use the   new driving score ; how the product or service based on this driving score would look like ; and why   the client could be interested . 

 When we started the workshop , I let them draw their ideas , and then each participant had to present   his drawing and explain his / her ideas . ( On this part , I am not sure if there was a benefit to draw   instead of writing ideas on post - it . Maybe it helped to mobilise the right side of our brain ) . Then , we   grouped the drawings depending on the similarity of ideas , and identified three main ideas to   develop : Premium discount , Prevention , and Serious game ( we parked other ideas for later   investigations ) . At this point of the workshop , we continued to use visualization , summarising the   main ideas in one new picture , and I really enjoyed the experience . Building this common picture   allowed us to define a potential target being sure we shared the same view and that we were on the   same page . I have re - drawn and translated the results in English , to let you see how it looked like . 

 In the second step of the workshop , we have challenged the initial ideas and have enriched them   with additional features that came to our minds while handling of objections . Using visualization has   been key to support the co - creation work . Visualization allowed us to be sure we understood well   each other . And when I look at the final drawing , it reminds me all the discussion we had , even if all   details are not drawn ( The final picture acts as a reminder of the all workshop ) . I can definitely   confirm that visualization is a powerful tool , and not only for data insights … 

 Visualization tool is an enabler used during all phases of the Design Thinking process . Not to use it   during a brainstorming workshop would miss potential additional ideas , and the risk not to have a   shared view at the end of the session . Moreover , I am quite confident that it helped to make things   more concrete for everyone in the room . Of course , the drawings we have done are not the only key   for success , but they contribute a lot . If I had to do it again , I would keep the same approach . 

 I am now looking forward to use visualization on the next steps of our “ safety score ” products , by   presenting mock ups to drivers and getting their feedbacks . 


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: I currently work as a data project leader for a Long Term Rental company that lease vehicles with full   services . More and more of our vehicles are equipped with Telematics Black Boxes , which log events   ( such as speed , braking , cornering , acceleration , … ) and provide to us lot of data . 

 Some weeks ago , our Insurance Business line managers asked us to build a driving score , correlated   to the accident rate . Working with data science team , we succeed in building a model , based on the   driving events collected from the Black Boxes the previous months , that could predict the risk for the   driver to have an accident the next month . The remaining point was to translate the risk ratio of our   model into a driving score easily understandable by the client and/or the driver . To better define this   score , I proposed to the Business stakeholders to participate to a workshop , where everyone would   have to imagine and describe the final usage that could be done from this new driving score . 

 Working with data scientists , I had already experienced how powerful are the data Visualization   tools , whether for exploratory data analysis , or to communicate clearly on data , and to support   recommendations to different stakeholders . This time , I wanted to experiment visualization , not to   communicate on data insights , but to check how it could be helpful to use visualization to collaborate   in sharing ideas and building products or services . 

 Before the workshop , I asked to each participant to think about the way he / she imagines to use the   new driving score ; how the product or service based on this driving score would look like ; and why   the client could be interested . 

 When we started the workshop , I let them draw their ideas , and then each participant had to present   his drawing and explain his / her ideas . ( On this part , I am not sure if there was a benefit to draw   instead of writing ideas on post - it . Maybe it helped to mobilise the right side of our brain ) . Then , we   grouped the drawings depending on the similarity of ideas , and identified three main ideas to   develop : Premium discount , Prevention , and Serious game ( we parked other ideas for later   investigations ) . At this point of the workshop , we continued to use visualization , summarising the   main ideas in one new picture , and I really enjoyed the experience . Building this common picture   allowed us to define a potential target being sure we shared the same view and that we were on the   same page . I have re - drawn and translated the results in English , to let you see how it looked like . 

 In the second step of the workshop , we have challenged the initial ideas and have enriched them   with additional features that came to our minds while handling of objections . Using visualization has   been key to support the co - creation work . Visualization allowed us to be sure we understood well   each other . And when I look at the final drawing , it reminds me all the discussion we had , even if all   details are not drawn ( The final picture acts as a reminder of the all workshop ) . I can definitely   confirm that visualization is a powerful tool , and not only for data insights … 

 Visualization tool is an enabler used during all phases of the Design Thinking process . Not to use it   during a brainstorming workshop would miss potential additional ideas , and the risk not to have a   shared view at the end of the session . Moreover , I am quite confident that it helped to make things   more concrete for everyone in the room . Of course , the drawings we have done are not the only key   for success , but they contribute a lot . If I had to do it again , I would keep the same approach . 

 I am now looking forward to use visualization on the next steps of our “ safety score ” products , by   presenting mock ups to drivers and getting their feedbacks .
### Output: 