Have you ever had to continually generate fake data sets that you could use to perform training with, do workshops with, do demo applications from or use as examples when learning new features/functions/visuals?
Well that's pretty much the life of the Qlik Healthcare Solution Architect team. So we decided to solve that problem for me and any others that may face the same issue.
We utilized a combination of data generated by Mockaroo as well as other data sources to form the base files of a fictitious health system we are calling General Hospital.
The goal of the project is to grow this to include many other resources that surround it like additional data sets, workshops, and applications.
If you want to have some example code that pulls the base CSV files and implements various data modeling techniques to see one approach we have prepared a QlikView and a Qlik Sense solution you can download:
Blah blah blah a bar chart with readmission data. You are the kind of person that wants to talk to this data. You mastered Guided Analytics as an infant. You cut your teeth on Governed Self Service Analytics. What you you want to know is move towards Conversational Analytics and if you click this link you can begin that learning process. One of my Tech Thursday presentations was on that very subject. Natural Language Understanding? Natural Language Processing? Natural Language Generation? Artificial Intelligence? Yep they are all there and best part is it's for the General Hospital campus you are familiar with. Click here to check it out.
It is recommended you provide us your feedback on what can make this data model better. We are also looking for data sets you are able to share that can enhance this data model. Please contact Dalton or myself (Greg Williams) if you want to contribute.