The logical error of only considering the information that is seen.
Data scientists and software engineers are a critical part of any company looking to innovate and find solutions to difficult problems. Both use their respective tools to perform their job duties and benefit from communicating and working together. Let’s take a moment to learn more about the role(s) of a data scientist and software engineer(with a caveat that it may vary from company to company).
“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.
The COVID-19 virus, first reported in the Chinese city of Wuhan in December, has spread to 180 countries, according to data compiled by Johns Hopkins University. As of 4/30, more than 3,308,233 infections have been reported, with over 234,105 deaths.
Twitter can be a useful tool in understanding how people are feeling about the coronavirus (COVID-19) over time. We performed sentiment analysis on tweets related to COVID19 from January 4th, 2020 to April 12th, 2020 and observe any trends or frequencies for the most positive and negative tweets during this period.
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 uploaded, AutoForecast tests out several different time-series forecasting methods including decomposition, exponential smoothing, ARIMA and regression (see below for more details about each). Finally, an 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.
Steve Jobs once said, “customers don’t know what they want until you show it to them.” Now, personalized recommendations exist anywhere from e-commerce (Amazon) to entertainment ( Netflix, YouTube, and Spotify). Their recommendation systems are key in driving revenue and making them successful companies. Even Amazon increased its revenue by 35% from their recommendation system and email campaigns.
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.
Leadership lessons from a scene from ‘Finding Nemo’.
I’m a great Pixar fan. I still remember the awe I felt when I first watched Toy Story and even greater growing awe as I learned about Pixar’s journey as a company. Many leadership lessons can be learned from Pixar’s journey, and there are no shortage of materials to help you do so. Books, case studies, documentaries. (If you don’t know the story I highly recommend reading ‘Creativity, Inc’ by Ed Catmull) .