Visualization tool for Innovation in Data governance 

 Challenge & selection 

 My challenge consisted in helping one of my customers , a railroad company , to define its data   governance organization for railroad infrastructure knowledge . Railroad activities involve different   roles from different units respectively responsible for sales , circulation , maintenance or projects .   Those units mostly operate apart from each other however their efficiency and the company   efficiency depend on their ability to generate and exchange data at the relevant level of quality . The   current organization only provides poor data quality . Growth of circulation needs , safety issues and   market opening are the challenges that they have to face together that oblige them to ensure a   stronger data governance . 

 Talking about data governance or data ownership in the context of this company was a challenge   because it is really abstract for most of the people involved . That is why I chose visualization tools to   overcome this difficulty . I did use visualization tool first to share the results of a journey mapping   phase , it took the form of user experience graphic pointing out daily good and painful moments   when generating , processing , controlling , publishing or using key railroad infrastructure data . Then I   used visualization tool during a Workshop where participants created a prototype of the future data   governance organization . 

 Application 

 I used journey mapping and “ user experience graphic ” to scope the problem taking into account the   point of view of each unit ( I focused my study on key roles of data generation , control , publishing and   use ) . Journey mapping was the opportunity to deeply understand the expectations of every   stakeholder and to point out the main pain points and their root cause . It took me a month and a half   with the help of a co - coworker to follow the activities of each key role . I shared the results with the   stakeholders and I let them time to discuss , challenge and appropriate the outcomes . 

 Then I set a workshop and selected 12 participants from different units to generate ideas for each   pain point . During the first step of the Workshop , I split the group into 3 groups of 4 people with a   representative of each unit in each group . Each group shared their ideas with everyone . For the   second step , I mixed the group to make another 3 working groups of 4 people and I invited them to   use the generated ideas as building blocks to define the future data governance organization . For   each group the data governance organization took the form of a graphic compliant with the process   notation standard of the company ( BPMN ) . A person of each group shared their view and responded   to questions and remarks of other participants . Finally during the last step , we draw the target   organization by identifying the common denominator of each proposition and completing with ideas   agreed by the whole group . 

 I finally set a meeting to validate with the management the main outcomes and the milestones of a   pilot roll - out . The pilot is currently in progress on a narrow scope , every key role has been   distributed , and the main processes are roughly defined and will be detailed during this   experimentation . 

 Insight & Approach 

 Using journey mapping and user experience graphic allow me to point out the painful moments   experimented by each stakeholder and to identify the main root cause of the data governance   problems which is the various key data definition and different uses across the different railroad   units respectively responsible of sales , circulation , maintenance or projects . The sharing of the   journey mapping outcomes using visualization tools ( user experience graphic ) was also a key success   factor as it was the first step to set a common view overcoming unit specificities . Every stakeholder   realized the operating consequences of poor data quality and their role in the big picture .   Visualization tool was very helpful to create empathy from everyone . 

 Ideas generated during the workshop were gathered in different themes : new roles , tools ,   organization principles , activities , macro processes . The Workshop was really productive and   performed in a good mood despite former tenseness between units . When we draw the target   organization , I paid attention to everyone and made sure that each participant even the quietest   validated each decision . I learned that silence does not mean agreement . The use of visualization   tools ( Process drawing ) helped me a lot to mitigate vocabulary sterile debate especially when we   started to talk about data “ ownership ” . Visualization tools helped to redefine necessary roles and   associated activities in a very effective timing as the Workshop only took a day . 

 The experimentation is currently in progress . The people involved are enthusiastic and proud and act   as ambassadors to their colleagues . The result is very different from state of the art in data   governance , more simple and understandable for people working in this railroad company . 


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: Visualization tool for Innovation in Data governance 

 Challenge & selection 

 My challenge consisted in helping one of my customers , a railroad company , to define its data   governance organization for railroad infrastructure knowledge . Railroad activities involve different   roles from different units respectively responsible for sales , circulation , maintenance or projects .   Those units mostly operate apart from each other however their efficiency and the company   efficiency depend on their ability to generate and exchange data at the relevant level of quality . The   current organization only provides poor data quality . Growth of circulation needs , safety issues and   market opening are the challenges that they have to face together that oblige them to ensure a   stronger data governance . 

 Talking about data governance or data ownership in the context of this company was a challenge   because it is really abstract for most of the people involved . That is why I chose visualization tools to   overcome this difficulty . I did use visualization tool first to share the results of a journey mapping   phase , it took the form of user experience graphic pointing out daily good and painful moments   when generating , processing , controlling , publishing or using key railroad infrastructure data . Then I   used visualization tool during a Workshop where participants created a prototype of the future data   governance organization . 

 Application 

 I used journey mapping and “ user experience graphic ” to scope the problem taking into account the   point of view of each unit ( I focused my study on key roles of data generation , control , publishing and   use ) . Journey mapping was the opportunity to deeply understand the expectations of every   stakeholder and to point out the main pain points and their root cause . It took me a month and a half   with the help of a co - coworker to follow the activities of each key role . I shared the results with the   stakeholders and I let them time to discuss , challenge and appropriate the outcomes . 

 Then I set a workshop and selected 12 participants from different units to generate ideas for each   pain point . During the first step of the Workshop , I split the group into 3 groups of 4 people with a   representative of each unit in each group . Each group shared their ideas with everyone . For the   second step , I mixed the group to make another 3 working groups of 4 people and I invited them to   use the generated ideas as building blocks to define the future data governance organization . For   each group the data governance organization took the form of a graphic compliant with the process   notation standard of the company ( BPMN ) . A person of each group shared their view and responded   to questions and remarks of other participants . Finally during the last step , we draw the target   organization by identifying the common denominator of each proposition and completing with ideas   agreed by the whole group . 

 I finally set a meeting to validate with the management the main outcomes and the milestones of a   pilot roll - out . The pilot is currently in progress on a narrow scope , every key role has been   distributed , and the main processes are roughly defined and will be detailed during this   experimentation . 

 Insight & Approach 

 Using journey mapping and user experience graphic allow me to point out the painful moments   experimented by each stakeholder and to identify the main root cause of the data governance   problems which is the various key data definition and different uses across the different railroad   units respectively responsible of sales , circulation , maintenance or projects . The sharing of the   journey mapping outcomes using visualization tools ( user experience graphic ) was also a key success   factor as it was the first step to set a common view overcoming unit specificities . Every stakeholder   realized the operating consequences of poor data quality and their role in the big picture .   Visualization tool was very helpful to create empathy from everyone . 

 Ideas generated during the workshop were gathered in different themes : new roles , tools ,   organization principles , activities , macro processes . The Workshop was really productive and   performed in a good mood despite former tenseness between units . When we draw the target   organization , I paid attention to everyone and made sure that each participant even the quietest   validated each decision . I learned that silence does not mean agreement . The use of visualization   tools ( Process drawing ) helped me a lot to mitigate vocabulary sterile debate especially when we   started to talk about data “ ownership ” . Visualization tools helped to redefine necessary roles and   associated activities in a very effective timing as the Workshop only took a day . 

 The experimentation is currently in progress . The people involved are enthusiastic and proud and act   as ambassadors to their colleagues . The result is very different from state of the art in data   governance , more simple and understandable for people working in this railroad company .
### Output: 