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.
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 If you don't tweak your resume to reflect these changes, you risk being rejected, set aside, or worse -- dismissed as outdated.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
One growing use of analytics in business is capturing and analyzing operational data. Rocana captures it from any source and holds it in one scalable repository, then delivers it to stakeholders for further analysis.
- By Linda L. Briggs
- November 21, 2016
Learn why IoT devices need better security now, why executives don’t fully trust their analytics, and how to resolve data and network latency problems.
- By Quint Turner
- November 11, 2016
Choosing data tools for small and midsize enterprises, adjusting data lakes to increase processing speed, and finding the right data to achieve success.
- By Quint Turner
- November 10, 2016