Best of TDWI's Data Digest
Interesting articles we found on the Web focus on predictive data models and determining buyer intent, data management v. data governance, and cloud v. virtualization.
When Is a Predictive Model Valuable?
(Source: I Crunch Data News)
Predictive models are useful only if they are well-made. This article reviews the abilities and limitations predictive models have, including situations where a predictive model is not needed and when one is useful.
Sorting Out Data Management and Data Governance
When working in the business of big data, you have to learn the terminology. Sometimes, that jargon can seem impenetrable with so many similar-sounding terms. This article focuses on the difference between data management and data governance.
Is it Possible to Determine Buyer Intent with Data Analytics?
Data analytics can be used to easily figure out what buyers have done in the past, but how easy is it to predict what they will do in the future? As this article points out, buyer intent is hard to analyze or even recognize using analytics.
Distinguishing between the Cloud and Virtualization
(Source: Information Age)
Many enterprises are looking to move to the cloud, but do they know what exactly moving to the cloud entails? This article points out the big differences between moving to the cloud and simply virtualizing your enterprise and why knowing which one you are trying to accomplish can save you money.
How Big Data Equals Bigger Business
(Source: Smart Data Collective)
Although big data is the future, it can be hard to figure out what big data can actually do for your enterprise. This article presents five ways your enterprise can use big data to grow your enterprise.
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.