Data Governance

Sorry! We don’t have any resources about this topic yet 🙁

Interested in writing about it? Email us at [email protected]

Data is most valuable when you have something to compare it to, but these comparisons aren’t helpful if the data is bad or irrelevant. Data is most valuable when you have something to compare it to. For example, it’s nice to know that your program helped 150 people this year, but that doesn’t tell you what you should do next…

At the 14 July R User Meetup, hosted at Atlan, I had the pleasure of briefly introducing the relatively new tidytext package, written by Julia Silge (@juliasilge) and David Robinson (@drob). Essentially this package serves to bring text data into the “tidyverse”. It provides simple tools to manipulate unstructured text data in such a way that it can be analyzed…

Unleashing the power of alternative data to transform India’s battle against malaria Too many malaria cases, too little data Today, India is fighting one of its toughest battles against malaria. With a malaria prevalence rate 1.5 times greater than that of Southeast Asia, India accounts for over 67% of malaria cases in the region. What’s even more worrying, however, is that this…

Today hedge funds use alternative data to shape their investments. Why can’t organizations use it to shape their own future? In the fall of 2015, Chipotle (an American food chain famous for its massive burritos) was rocked by a series of health scares. From August to December, norovirus and salmonella broke out in 19 locations across California, Massachusetts and Minnesota. The…

When discussing data collection, outliers inevitably come up. What is an outlier exactly? It’s a data point that is significantly different from other data points in a data set. While this definition might seem straightforward, determining what is or isn’t an outlier is actually pretty subjective, depending on the study and the breadth of information being collected. So what’s the…