Reflection – Learning Launch 

 KPIs Dashboard 

 Challenge 

 As Head of the data analytics team at my organization , my challenge is to create a new dashboard   of KPIs for all internal customers , including employees and stakeholders , in order to improve   organization ’s performance and decision - making . The task must me done within the next three   months , using internal IT infrastructure and we must follow operations team guidelines in terms of   strategy and procedures . 

 Another difficulty is that it will the first time for the organization to share all KPIs outside top   management team , so we need to make a clear and universal dashboard which could be   understood for all organization members . 

 Selection 

 IT team has shown us the tools to create the dashboard . We have picked one that have been used   for all members but with another purposes . We also have prepared one section with storytelling   that will support the strategy . We are ready to use the learning launch tool to test the first section   of the dashboard and see if it is suitable or not for our objective . 

 Application 

 We have had three learning launch sessions . The first one was focused on testing the acceptance   of the IT tool to selected members of different teams within the organization . It took several days   because we had limitations with operations guidelines . We could not put together all people at   the same time in the same place . Nonetheless , it was useful to accept our hypothesis that the tool   was known by all members , and it was easy to use it . 

 The second learning launch session was focused on presenting KPIs in the tool and test if the   visualizations capture the KPIs correctly and if each KPI was understood by their owner areas . It   was accepted by most organization areas , specially by top management . We got clarity about the   type of visualizations that were easily understood and the ones that not . We prepared a manual to   define the type of visualizations that will be used related to each KPI . 

 By the last learning launch session , we test if the storytelling was understood by all organization   members , specially for those that do not know all organization KPIs an how they were related with   their work . That was the hardest session , because we realize that there was not a good reception   to our storytelling . That gave us the guideline to redo the storytelling according to the comments   we received during the session . 

 Insight 

 The Data Analytics team discovered many things from the learning launch tool . First , we realize   that using the most known IT tool by organization members was a good idea . Second , although we   tested it with a few members of the organization , it was difficult to gather them in one place at   the same time , so it took more time as we planned . Therefore , we decided to separate the   following sessions by time and area . 

 Second , we learnt that storytelling should be differentiated according to the area , because it   makes more sense to analyze organizations performance from each area point of view , and not in   a general manner , as top management usually do it . 

 The learning launch tool gave us the opportunity to test our assumptions and to improve the   dashboard from the point of view of our internal customers , and not only as we think it should be . 

 Approach 

 In this specific situation , we think that the learning launch tool was the best option to test our   project . We had the chance to hear comments directly from our customers and see their   reactions . This will give us the opportunity to improve the first section of our dashboard and   create all other sections using the same tool but preparing the best visualizations and storytelling . 

 Additionally , we have now a manual that relates specific visualizations with KPIs , and how it   improves user experience . 


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 

 KPIs Dashboard 

 Challenge 

 As Head of the data analytics team at my organization , my challenge is to create a new dashboard   of KPIs for all internal customers , including employees and stakeholders , in order to improve   organization ’s performance and decision - making . The task must me done within the next three   months , using internal IT infrastructure and we must follow operations team guidelines in terms of   strategy and procedures . 

 Another difficulty is that it will the first time for the organization to share all KPIs outside top   management team , so we need to make a clear and universal dashboard which could be   understood for all organization members . 

 Selection 

 IT team has shown us the tools to create the dashboard . We have picked one that have been used   for all members but with another purposes . We also have prepared one section with storytelling   that will support the strategy . We are ready to use the learning launch tool to test the first section   of the dashboard and see if it is suitable or not for our objective . 

 Application 

 We have had three learning launch sessions . The first one was focused on testing the acceptance   of the IT tool to selected members of different teams within the organization . It took several days   because we had limitations with operations guidelines . We could not put together all people at   the same time in the same place . Nonetheless , it was useful to accept our hypothesis that the tool   was known by all members , and it was easy to use it . 

 The second learning launch session was focused on presenting KPIs in the tool and test if the   visualizations capture the KPIs correctly and if each KPI was understood by their owner areas . It   was accepted by most organization areas , specially by top management . We got clarity about the   type of visualizations that were easily understood and the ones that not . We prepared a manual to   define the type of visualizations that will be used related to each KPI . 

 By the last learning launch session , we test if the storytelling was understood by all organization   members , specially for those that do not know all organization KPIs an how they were related with   their work . That was the hardest session , because we realize that there was not a good reception   to our storytelling . That gave us the guideline to redo the storytelling according to the comments   we received during the session . 

 Insight 

 The Data Analytics team discovered many things from the learning launch tool . First , we realize   that using the most known IT tool by organization members was a good idea . Second , although we   tested it with a few members of the organization , it was difficult to gather them in one place at   the same time , so it took more time as we planned . Therefore , we decided to separate the   following sessions by time and area . 

 Second , we learnt that storytelling should be differentiated according to the area , because it   makes more sense to analyze organizations performance from each area point of view , and not in   a general manner , as top management usually do it . 

 The learning launch tool gave us the opportunity to test our assumptions and to improve the   dashboard from the point of view of our internal customers , and not only as we think it should be . 

 Approach 

 In this specific situation , we think that the learning launch tool was the best option to test our   project . We had the chance to hear comments directly from our customers and see their   reactions . This will give us the opportunity to improve the first section of our dashboard and   create all other sections using the same tool but preparing the best visualizations and storytelling . 

 Additionally , we have now a manual that relates specific visualizations with KPIs , and how it   improves user experience .
### Output: 