Text is commonly referred to as unstructured data, but it clearly has structure. What does "unstructured" mean in a data context?
- By Bill Inmon
- June 28, 2016
Despite the growing need for data quality, organizations are stuck facing the same problems using the same tools and techniques as years past.
- By Steve Swoyer
- June 27, 2016
Learn how to use analytics to improve your marketing, select the best big data science tools, and improve data quality for more accurate analytics.
- By Quint Turner
- June 24, 2016
The Leading Edge Forum contends that we are fast approaching a point where machine (artificial) intelligence will develop rapidly and impact every industry because crucial factors have aligned.
- By Lindsay Stares
- June 24, 2016
Learn a simple strategy for any enterprise to implement data-driven decision making, five steps for preparing for a data breach before it happens, and the implications of recent improvements in voice recognition.
- By Quint Turner
- June 23, 2016
Learn why “lean security” principles might help you secure your IoT devices, how IoT data can create opportunities for profit, and how a well-managed data lake creates a fertile ground for predictive analytics.
- By Quint Turner
- June 21, 2016
Enterprise data warehousing in the cloud represents a major change in thinking as well as in architecture. Addressing these critical questions can help you judge the practical value of cloud EDW for your enterprise.
- By Jake Dolezal
- June 21, 2016
Learn how to approach common data quality problems, what pros and cons you face selecting open source analytics solutions, and definitions of 20 common cloud computing terms.
- By Quint Turner
- June 20, 2016