Challenge     It is always challenging to work with innovation for companies with a long time in the market and   that has traditional processes of management . A building materials sales company has come to   us to expand the sale of their products through the creation of a virtual store .     A challenge identified in the early steps of the project It was the wide variety and quantity of   products . We needed to understand how best to display the most relevant products to the user   by reducing search time and creating a better experience with using the site .       Selection     The first step was to understand the relevance and the relation between the products , and that   involved a large volume of data and several people involved . During the meetings we needed to   work on a single and collaborative path , for this we use the visualization tool .     The choice of the visualization tool came with the objective of making the interpretation of the   data a consensual work . Following this purpose , the visualization tool served as a facilitator in   our meetings . 

 “ When we 're talking and we 're verbalizing things we see things internally , but we may all   be understanding the words in a slightly different way . The beauty of using visualization   is that we can tap into a single   ​ picture​. The more you begin to use pictures , the more 

 that you begin to diagram while you talk , and create a visual image for people of how   you are thinking . The , more likely you are to achieve a sense of agreement and   consensus with people , the more you are likely to draw out conversation . ”    Angela Meyer ( Video lecture : Visualization Tool ) 

 Application     Meetings for analysis of the data were made together with professionals of the company , during   the meetings were analyzed the products and the data of the last sales . The analysis was   focused on two questions : 1 ) Which products were top sellers ? 2 ) What products did they relate   to during the sale ?      The simple way to illustrate this date was to write the categories of the products on adhesive   papers and to group the most sold in groups of 1 to 4 . Then each categories was connected to   the others that are related during the sale . 

 That way we could organize the data and find out which products are featured and which   products could be suggested to the user when something is selected , so we can continue the   sale through an anticipatory system .       Insight and Approach      With the visualization tool , I was able to apply a better way to conduct an approach dealing with   complex data involving many people . A data organization brought a new insight into the   products and consumer behavior during the buy , the process was a learning experience for our   staff and the customer . Such data will serve as a start for the first digital marketing campaigns   and the first tests with the virtual store .     The result was very satisfactory , while using the tool the environment became more   collaborative where everyone was working on the same idea at the same time , the visualization   created a clear and logical line of thought .      In the next moment I will try to apply the visualization tool in previous stages of the project ,   creating from the beginning the culture of collective thought . I will also look for a way to   document and share the results of the visualization process . 


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     It is always challenging to work with innovation for companies with a long time in the market and   that has traditional processes of management . A building materials sales company has come to   us to expand the sale of their products through the creation of a virtual store .     A challenge identified in the early steps of the project It was the wide variety and quantity of   products . We needed to understand how best to display the most relevant products to the user   by reducing search time and creating a better experience with using the site .       Selection     The first step was to understand the relevance and the relation between the products , and that   involved a large volume of data and several people involved . During the meetings we needed to   work on a single and collaborative path , for this we use the visualization tool .     The choice of the visualization tool came with the objective of making the interpretation of the   data a consensual work . Following this purpose , the visualization tool served as a facilitator in   our meetings . 

 “ When we 're talking and we 're verbalizing things we see things internally , but we may all   be understanding the words in a slightly different way . The beauty of using visualization   is that we can tap into a single   ​ picture​. The more you begin to use pictures , the more 

 that you begin to diagram while you talk , and create a visual image for people of how   you are thinking . The , more likely you are to achieve a sense of agreement and   consensus with people , the more you are likely to draw out conversation . ”    Angela Meyer ( Video lecture : Visualization Tool ) 

 Application     Meetings for analysis of the data were made together with professionals of the company , during   the meetings were analyzed the products and the data of the last sales . The analysis was   focused on two questions : 1 ) Which products were top sellers ? 2 ) What products did they relate   to during the sale ?      The simple way to illustrate this date was to write the categories of the products on adhesive   papers and to group the most sold in groups of 1 to 4 . Then each categories was connected to   the others that are related during the sale . 

 That way we could organize the data and find out which products are featured and which   products could be suggested to the user when something is selected , so we can continue the   sale through an anticipatory system .       Insight and Approach      With the visualization tool , I was able to apply a better way to conduct an approach dealing with   complex data involving many people . A data organization brought a new insight into the   products and consumer behavior during the buy , the process was a learning experience for our   staff and the customer . Such data will serve as a start for the first digital marketing campaigns   and the first tests with the virtual store .     The result was very satisfactory , while using the tool the environment became more   collaborative where everyone was working on the same idea at the same time , the visualization   created a clear and logical line of thought .      In the next moment I will try to apply the visualization tool in previous stages of the project ,   creating from the beginning the culture of collective thought . I will also look for a way to   document and share the results of the visualization process .
### Output: 