(This is the final part of a three-part series illuminating the challenges of data analytics and describing a proven solution to the problem.) In part one, Measuring the Cost of Doing Business With Insufficient Analytics, we learned that, on average, data analysts spend 4 days a week organizing data, leaving only one day per week to conduct […]
In part one of this series, Measuring the Cost of Doing Business with Insufficient Analytics, I referenced a series of studies conducted over the past five years showing that data analysts spend about 80% of their time organizing data. They devote only one day per week to analyzing data and generating reports, suggesting that their job function […]
Under Construction… We are in the process of publishing our roadmap. For now, below is a list of the most commonly requested features. Got a request? Send it to email@example.com. We keep track of all requests, and we do our best to get them added to a upcoming release.
A recent survey conducted by CrowdFlower and summarized on Forbes found data scientists spend most of their time massaging rather than modeling or mining data for insights. It seems 79% of their time is spent either accessing or preparing data, leaving only 21% for everything else. Far from being a new problem, this same issue has […]