Even an advanced CRM system can break down when one customer profile is capturing the attributes and behaviors of more than one real individual.
- By David Loshin
- June 21, 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
Over the years, CRM tools have evolved from simple customer databases into increasingly more sophisticated tools for engagement, but the growing amount of customer data brings new challenges.
- By David Loshin
- June 20, 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
Forecasting what's coming is no longer enough. Modern enterprises must use prescriptive analytics to ensure users of all skill sets are able to benefit from a data-driven culture.
- By Guy Yehiav
- June 20, 2016
Learn about trends in cognitive computing that help enterprises manage big data, why you may be struggling with data quality and what to do about it, and 5 best practices in big data security.
- By Quint Turner
- June 17, 2016
Just because devices collect data doesn't mean we can use it. Why data from IoT devices needs to be standardized.
- By Barry Devlin
- June 17, 2016