DataOps – It’s a Secret
Summary: DataOps is a series of principles and practices that promises to bring together the conflicting goals of the different data tribes in the organization, data sc...
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Charting a Mandate for a Chief Data Scientist
The profusion of big data alongside helpful nudges from Wall Street has inspired many companies to create Chief Data Officer(CDO) and Chief Data Scientist(CDS) roles. The...
Data Devils Snapping At Your Heals
Ever wonder how you can create meaningful insights with your data? Tired of being asked what’s your big data strategy, are you doing predictive analytics, or how yo...
Alternatives to algebraic modeling for complex data: topological modeling via Gunnar Carlsson
For many, mathematical modeling is exclusively about algebraic models, based on one form or another of regression or on differential equation modeling in the case of dyna...
Finding "Gems" in Big Data
(Photo credit: Rob Lavinsky, iRocks.com – CC-BY-SA-3.0) In 1945, Count ,Richard Taaffe* a Dublin gem collector, was sorting through a set of spinel gems that he had...
How to think like a Data Scientist
A data scientist needs to be Critical and always on a lookout for something that misses others. So here is some advice that one can include in the day to day data science...
Is Your Company Too Small To Use Big Data?
Is big data just for the big players? Many SME owners shy away from taking advantage of big data in their business operations. However, commentators (including experts at...
7 Data Videos Built with R
These videos display data sets with a time dimension: each frame in the video shows the data set at a given time, thus showing how the data evolved over time. To learn ab...
Connecting the dots: the art and science of managing your workday
Recently, an HR expert told me that to progress in my career I’d need to spend at least 50% of my time managing laterally. Laterally as in not “up” to my boss or �...
DSC Webinar Series: On Demand Data Fusion for Single or Cross Domain Visualizations
Many companies have solved the challenge of how to capture, store and manage data. The new challenge is keeping up with the rapidly growing data volume, then sifting thro...