Top 10 Big Data Analytics Tips. Whether you are data mine more structured data, or like myself more often work with unstructured or mixed data using text analytics, I think you’ll agree that the following 10 tips are critical.
Entries Tagged as 'Datamining'
May 11th, 2014 · No Comments
May 7th, 2014 · No Comments
[Reposted from OdinText Blog]
Client Side Experts Speak Out: Big Data isn’t difficult, it isn’t expensive, but it does require thinking!
As mentioned yesterday, in preparation for the Useful Business Analytics Summit, so that fellow attendees will know more about each other and the event I’ll be posting a series of questions related to analytics here on the [...]
March 7th, 2013 · 6 Comments
After attending the American Marketing Association’s first conference on Big Data this week, I’m even more convinced of what I already suspected from speaking to hundreds of Fortune 1000 marketers the last couple of years. Extremely few are working with anything approaching what would be called “Big Data” – And I believe they don’t need to – But many should start thinking about how to work with Mid Data!
Tags: Anderson Analytics · Big Data · Datamining · Market Research · Marketing research · Mid Data · Odin Text · OdinText · Small Data · Text Analytics · ama · american marketing association · text mining
February 26th, 2013 · No Comments
Big Data Experts on Hand for Q&A
A bit last minute I know, but wanted to let Next Gen researchers out on the West Coast know about the American Marketing Association’s event next week in San Diego. It’s called Analytics with Purpose: The Human Edge of Big Data and what’s unique about this event is that [...]
Tags: Anderson Analytics · Conferences · Datamining · Odin Text · OdinText · Sentiment Analysis · Text Analytics · Text Mining Guru · ama · american marketing association · text mining · tomhcanderson
November 27th, 2012 · 3 Comments
NGMR Software and Forward Looking MR Clients can make it happen in 2013!
[Re-posted from OdinText blog]
There’s lots of talk about Marketing Research professionals missing the boat on Big Data.
I’m more optimistic in this area - Why?
Marketing research professionals who typically do customer segmentation work, even if it’s typically on smaller data sets (1500-4000 records) have EXACTLY [...]