Are there different aspects to consider when evaluating software for unstructured and structured data? Yes and no. Here are similarities and differences you should know about when considering software.
Finding the most effective way to manage resources in both the public and private sector is a top priority, says Antonia de Medinaceli, Director of Fraud Analytics at Elder Research. Hear more in this video Q&A.
Through studying unstructured data, you can learn about customer and buying behaviors as well as internal employee behaviors through enterprise applications, explains Tom Reamy, founder of KAPS Group, in this video interview.
“It’s kind of like if you’re used to taking care of rabbits and now you’re in charge of elephants,” explains John Elder, Founder, Elder Research, when talking about big data in this interview.
It’s true. “Big data” can be a problem and an opportunity. Many organizations have struggled to manage, much less profit from, the deluge.
Text analytics and predictive modeling has gleaned big productivity gains for one health insurer. Find out how this company harnessed its big data and why the best analytics can’t succeed without business user buy-in.
“I think that’s what she meant by that…” is a common question of sentiment. This excerpt from the white paper Text Analytics for Social Media, by Jim Sterne, internationally known writer and speaker, gives insight on how systems can help the misinterpretation problem.
Eric Siegel, PhD, Conference Chair for Predictive Analytics World and Text Analytics World, expands on the innovative approaches of using social data, text analytics and net-lift modeling for better predictive models in this video.
Organizations are applying innovative text analytics to validate structured data that’s often perceived as gospel. Read more in this article.
With the rise of social media, everything is changing in the way companies interact with customers. Check out the latest social media research from Harvard Business Review.
You’re only as good as what you can do
Keep it simple, stupid
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