Data scientist Deb Cooper explains how her business understanding impacts her work and why data scientists and advanced analytics practitioners should cultivate support from business sponsors.
At the re:Invent conference, Amazon announced a slew of new products, services, and features, including a technology for querying against its S3 storage service and a new AI framework.
- By Steve Swoyer
- December 12, 2016
Why it's important to understand your data in the context of its usage.
- By Jill Dyché
- December 12, 2016
How much unrefined data may start costing enterprises, why a disruptive business strategy requires data security, and why some enterprises are still unwilling to let go of departmental data silos.
- By Quint Turner
- December 12, 2016
Transform your infrastructure to take advantage of IoT devices, plan your architecture to protect them, and learn what experts told Congress about IoT and cybersecurity threats.
- By Quint Turner
- December 9, 2016
A recent survey report states that access to self-service is rising, but adoption is falling. However, their findings imply that overall use is relatively steady.
- By Lindsay Stares
- December 9, 2016
An expert in nonprofit management discusses how nonprofits of all sizes can benefit from the strategic use of analytics.
- By Linda L. Briggs
- December 9, 2016
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.
Driven by business demands, easy-to-use tools are pushing analytics deeper into the enterprise. By stressing ease of use, vendors strive to deliver more insights and reach more users.
- By Linda L. Briggs
- December 8, 2016