Data science is critically dependent on contributions from a broad spectrum of people -- from business analysts and data engineers to business domain experts and data scientists themselves.
How to train current analysts in advanced analytics, 4 ways to prepare for a data breach, and myths about using more than one cloud platform.
- By Quint Turner
- December 6, 2016
Passwords are no longer enough to adequately secure a system. Here's what your enterprise needs to do to improve security without antagonizing users.
- By Brian J. Dooley
- December 6, 2016
From aptitudes and skills to finding a new position, what you need to know about transitioning into an analyst role.
- By Piyanka Jain
- December 5, 2016
Times and norms have changed. If you don't tweak your resume to reflect these changes, you risk being rejected, set aside, or worse -- dismissed as outdated.
The complexity of modern corporations can promote competing data strategies. You need a cohesive strategy before your energy can be focused on solving business problems.
- By Wes Flores
- December 1, 2016
Only 25 percent of jobs related to computing and technology in the U.S. are held by women. New research provides recommendations for encouraging girls and retaining skilled women in IT careers.
- By Lindsay Stares
- November 30, 2016
The AI-ification of the enterprise has begun. This trend is expected to accelerate over the next few years, with spending on AI increasing to a staggering $47 billion in 2020.