Kurvv Blog

Understanding Correlation and Causation

Jul 29, 2020 7:02:17 AM / by Luis Riera posted in data science, correlation, causation, Blog, educational

“Correlation does not mean Causation”, “Is that correlation or causation?”.

These comments get casually thrown around during discussions around data analysis, but correlation and causation are two terms that can often elude decision-makers’ proper understanding of statistics and in turn data science. If not correctly understood, this can lead to incorrect conclusions and actions.

Read More

Auto Forecasting – Sales predictions

Apr 14, 2020 6:53:43 AM / by Ryan Lee posted in data science, Blog, sales forecast, sales

Kurvv’s AutoForecast product provides customers with a variety of quantitative sales forecasting methods, so they can simply connect their data source and receive a customized, accurate forecast in seconds. Once data is uploadedAutoForecast tests out several different time-series forecasting methods including decomposition, exponential smoothing, ARIMA and regression (see below for more details about each)Finallyan average of all forecasts is computed and output with the final results. Customers can select the forecast output(s) they feel most comfortable with and customize forecast time horizon and validation time windows. 

Read More

COVID-19 (We are here to help)

Mar 26, 2020 3:22:19 AM / by Jeff Croft posted in Machine Learning, Small Business, ideas, startup, data science, ecommerce, Blog, Travel, Hospitality, Economy

These are unprecedented times.

Read More

Life-Time-Value (LTV) based Segmentation solution for Shopify & Square

Jan 22, 2020 7:51:51 AM / by Ryan Lee posted in Machine Learning, data science, ecommerce, Blog, LTV

In Kurvv’s quest to make the power of machine learning accessible to business users, we are happy to say that our Life-Time-Value (LTV) bases Segmentation solution now also works for eCommerce customer additional to hotel (hospitality) customers. (limited to Shopify & Square users but more is on the way) Our LTV based segmentation models predict how valuable new customers and leads will be to your business over their lifetime, and group them into low, medium and high value categories. We do this by analyzing historical data to identify which attributes are most often associated with high-value customers.

Read More