Best of Upside's Data Digest
Articles examine IoT, cloud spending, unstructured data analytics, big data analytics, and big data and human management.
- By Quint Turner
- May 4, 2016
Bringing Analytics for Big Data Mainstream
(Source: Datanami)
At the core, the point of big data is to get actionable insight from a large amount of information. Getting to that insight can be tough if your enterprise is new to big data. This article offers some tactics to make sure your enterprise approaches big data analytics in a productive way.
Why You Need Unstructured Data Analytics
(Source: Image & Data Manager)
Another difficulty in finding the value in large amounts of data is that around 80 percent of enterprise data is unstructured and difficult to effectively analyze. This article explains why getting insights from your unstructured data is more important (and less difficult) than you might think.
The News of the Death of IoT is Greatly Exaggerated
(Source: IT Pro Portal)
Recent news has portrayed the Internet of Things in a not-so-favorable light. This article discusses how the negative press about events such as the shutdown of Revolv can teach the industry a few lessons about how IoT should change.
Spending on Cloud Projects to Grow
(Source: The Wall Street Journal)
Last year, enterprise spending on moving to the cloud went down, but this year that trend has reversed sharply. This article describes how cloud computing is changing from something a few enterprises did on a small scale to a move all enterprises of all sizes are embracing.
Key to IoT Success Lies in Mobile Integration
(Source: Forbes)
Although some believe the Internet of Things will usurp the mobile market, this article argues that mobile will be the key to marketing success with IoT. The author claims that mobile will be around for at least the next ten years, and explains his vision for how IoT and mobile should evolve together.
Why Big Data Can't Replace Human Management
(Source: Forbes)
Not only is automation replacing jobs in many industries, but some corporations are looking to big data insights to manage employee productivity. This article describes why using big data to evaluate a workforce is likely to backfire: it can't measure the skills which employers find most valuable today.
About the Author
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.