Tag: high-performance analytics

Alison Bolen 2
High-performance analytics for big customer data

Mobile phone data is one obvious example of "big data." Not only does it include call records for every customer and every phone, but it might include network data on how those customers connect with one another. Data stores could also contain location-based data, application usage data and data about different

Alison Bolen 6
8 high-performance metaphors you should know

When I first started hearing SAS CEO Jim Goodnight talk about high-performance analytics (HPA), I was fascinated. But I have to admit that my mind was spinning a bit from the terminology: blades, cores, captains, generals and so on. But then the metaphorical nature of these terms clicked for me,

Alison Bolen 1
High-performance analytics for complex research

After a week of me sharing links and blogging about my thoughts on high-performance analytics, some of you may be saying, "Yes, but how are customers using it? What are the practical benefits, already?" With that in mind, I'd like to spend some time this week pointing out customer stories

Alison Bolen 5
Twitter is a big data problem

Back in my day-one post of this "HPA once a day project," I promised a post about Twitter as "big data." I know some of you are already moaning about the noise on Twitter and the "what I ate for breakfast" type of commentary that's prevalent there. So I'm going to

Alison Bolen 1
HPA: That's Incredible!

What is a typical reaction to high-performance analytics? Consider these scenarios: What do investment bankers say when you tell them the risk calculations they used to do every three days on a subset of their portfolio can now be done within minutes - all while analyzing the full portfolio? What

Alison Bolen 3
HPA once a day: day one

I'm not a fan of obscure acronyms in blog post titles, but by the end of this month I'm hoping HPA won't be obscure to anyone who reads this blog. It stands for high-performance analytics, and I'm challenging myself to blog about it once a day for the next month.

Alison Bolen 0
Human ingenuity is still the magic

The tools for analytics are getting more sophisticated as data becomes more voluminous, says Jim Sterne, President of Target Marketing, in the video below. The real magic still comes from human ingenuity, explains Sterne, but it helps to give analysts the tools they need to make that magic happen. Hear

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