SaaS can now avoid applicants from locations with high amount of Krippin Virus Incidents, and seek applicants from location with low amounts of the virus. BigQuery is used to quickly query this data, and the result is displayed in Data Studio in Google Cloud.
We use a public dataset of disease outbreaks from “From Health and Human Services” in the US. The dataset consists of 759467 rows of data with diseases, locations and incidences per 100000 inhabitants.
The dataset can be found here: https://bigquery.cloud.google.com/dataset/lookerdata:cdc
We were promised they will soon track Krippin Virus Incidents as well. Our reports are ready (but based on another virus), and will just have to be configured to query Krippin Virus when this is ready
By using big data to provide insightfull reports for SaaS we think we deserve the [The analyst] badge.