With the right business problem, data, and applied techniques predictive analytics can deliver exceptional return on investment (ROI) by, for example, assessing and manag...
Last time I wrote on using Python/Pandas as an adjunct to loading PostgreSQL tables. In this sequel, I demo how R can be used to collaborate with the database in a simi...
Sad but true when it comes to data prep – data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analy...
Data wrangling is the most important step for business personnel to further analyze data or enter BI system. With the advent of the data age, data sources are becoming m...
Data for Business Performance is using data in operations, compliance, and decision making. However, in most cases the available data in business enterprises is of poor q...
How Did I Get Here? I’m a female mathematician, statistician, and data scientist. How did I get to be all of those things? I wish I could say “I did well in s...
Data is constantly being collected in varying formats. How do you gather this data in one uniform structure in order to efficiently organize, interpret, and leverage it t...
For over 3 decades, my passion has been to assist organizations leverage the business potential of data and analytics and help them envision where and how data and analyt...
How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytic...
You’ve spent weeks foraging for, shaping, and analyzing the perfect data set and you’ve crafted your dashboards with care. What could possibly go wrong? Have you made...