Zepl Partners with Snowflake to Provide COVID-19 Relevant Data Sets on the Snowflake Data Marketplace
May 31, 2020
We are excited to announce that Zepl has joined the Snowflake Data Marketplace. Zepl’s data science and analytics platform brings predictive analytics and machine learning to Snowflake users in minutes. Snowflake customers are using Zepl to answer the hard questions around what is the “new normal” for interacting with customers, employees and suppliers.
Taking COVID-19 Analysis Beyond the Medical Domain
Not surprisingly, the majority of COVID-19 analysis has focused on medical and epidemiological research. As companies look to forecast key business functions such as sales, staffing, and spending, they can begin to correlate COVID-19 medical data with business data and use machine learning to predict more accurate forecasts.
Zepl has provided US stock data to the Data Marketplace, which is often used as a proxy for overall economic health and outlook. We have combined several data sets into a data science notebook which can be cross-correlated by date to other externalities such as weather, political change, and in the current case, COVID-19 disease data.
Above is an example of cross-correlating a business data set — in this case US stock data — with COVID-19 data.
This is an example of how you could model any type of business data — such as employment data or oil prices — against COVID-19 data.
The notebook is available here [link to notebook]. Users can clone this notebook, then cross-correlate in different regions looking for upticks in business trends which may apply to forecasting in other regions.
In the next published Zepl Notebook, we are visualizing disease propagation with near-term forecasting using NML Prophet modeling.
The notebook is available here [link to notebook]. Users can clone this notebook and use it a an example of forecast modeling for correlated data – the Prophet model is especially recommended for data that have multiple outliers (such as COVID-19 reported data and correlations between COVID-19 data and externalities)
Now that regional declines of COVID-19 cases have begun, we will soon publish notebooks that show correlations on decline and return to normal business metrics.
To access Zepl’s US Stock data set, visit https://www.snowflake.com/datasets/zepl/ or access it from the “Marketplace” button in the top of your Snowflake product screen
Questions or comments about our notebooks or data set? I’d love to hear from you. I’m Grover Righter, email: grover [at] zepl.com