April 22, 2020
Combatting COVID-19 Together with Cloud Data Analytics
As we all rise to COVID-19 challenges, advanced data analytics is empowering us to make key, data-driven decisions – guiding all of us to a better tomorrow together. To help data and analytics learn more, AtScale has added new resources and new ways to learn more.
New Webinar! ANALYSING DATA AT SCALE USING YOUR BI TOOLSET TO HELP RETURN TO THE “NEW NORMAL” POST COVID-19
On Thursday, June 11th at 10:00 AM (GMT+10) you can join experts from AtScale, and intelia, a trusted data, analytics & intelligent automation partner, to learn how to leverage data analytics to return your company to the “new normal” after coping with COVID-19.
We’ll help you understand the impact the Coronavirus has on inventory management, supply chain, employee wellness, and the impact of outbreaks on employee locations via data models. And, we will also showcase the AtScale platform highlighting significant query performance on big data sets and perform live, multidimensional analysis on COVID-19 data models with the AtScale Cloud OLAP model. To join us, click here.
New COVID-19 Data Sets!
In addition to the COVID-19 data sets that AtScale announced in April 2020, AtScale has added additional Cloud OLAP Models, created with our technology partners. To access them, click here.
The AtScale Cloud OLAP model includes the following COVID-19 datasets:
- COVID-19: New York Times Model
- COVID-19: WHO Situation Reports
- COVID-19: John Hopkins University
- COVID-19: Robert Koch Institute
- COVID-19: Italian Civil Protection Department
- Google Global Mobility
- Transportation Security Administration Checkpoint Travel Numbers
- Open Table Reservations
- US Department of Transportation: Monthly Transportation Statistics
New On-Demand Webinar with Tableau! HOW BOSTON CHILDREN’S HOSPITAL ENABLES PUBLIC HEALTH OFFICIALS TO ANALYZE COVID-19 DATA
Join experts from Boston Children’s Hospital, Harvard Medical School, AtScale and Tableau to learn more about the data and how public health officials are analyzing thousands of reports and map them to generate local and national views of COVID-like-illness, providing public health officials and researchers with real-time, anonymous information that could help end the COVID-19 pandemic, and prevent the next one from happening. To watch, click here.
NEW BOOK