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Hello,

I'm interested in learning one of these two tools. What would you recommend? Are there any good books or training program that is not too expensive? (knowing that I don't have any of these two software)

Thanks in advance for your help.
Sandro.

Tags: Clementine, Enterprise, Miner, SAS, SPSS

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Yes,

i worked on both of them. I work in SAS Research & Development and represent a resource from Advanced Analytics Lab. I can give you documentation on SAS Enterprise Miner (a PDF Book). I had an evaluation version of SPSS Clementine software version 10 that came with the documentation.

In case you want to learn SPSS Clementine, the best place would be the training programs conducted by SPSS Inc., in US and UK. No such training program in India :(

you can reach me at surya.murthy@sas.com in case you want to get a PDF copy of SAS Enterprise Miner 5.1

thanks

regards

Surya
Dear Surya,

Would appreciate if you could guide me.

I have around 7 years of Data Processing Experience (Quantum, Quanvert and Spss) and basically working for US based MR companies!

I want to learn SAS Enterprise Miner as I want to divert my career more towards analytics or decision making so kindly suggest me what should I do. And if I learn SAS Enterprise Miner so is it necessary to know Base SAS/Base Macro?

Thanks in advance!

Regards,
Manu

Hi Surya,

 

It seems like surya.murthy@sas.com is not a valid address. My emails to this ID are bouncing back.

 

Can you please send the pdf of SAS Enterprise Miner at datsmaneesh@gmail.com.

 

Thanks n Regards,

Maneesh 

This is one the books I would suggest for SAS Enterprise Miner:

Predictive Modeling With SAS Enterprise Miner: Practical Solutions for Business Applications (Paperback)
by Kattamuri S. Sarma (Author)
How did you get the SAS enterprise miner to prepare for the Predictive modeling cert?
Surya: Thanks for the information. I will contact you by e-mail.

consultsp: thanks for the book reference!

Hey Sandro, do you have the pdf of SAS Enterprise Miner. Can you send it to me at datsmaneesh@gmail.com.

 

Thanks,

Maneesh

Hi,

To learn the Basic concepts in E-miner, see the following link, it may be helpful to you.
http://fora.tv/2008/08/13/Matignon_Data_Mining_Using_SAS_Enterprise...
bye..
Thanks for the link rajesh!
Hi!
SAS has a bunch of free online tutorials, including one on SAS Enterprise Miner.

http://www.sas.com/apps/elearning/elearning_courses.jsp?cat=Free%20...

Regards
Thanks Sam. This is a perfect tutorial to start with.
Hi Sandro,

I stumbled across this today and just joined Analytic Bridge, so apologies for the late reply.

I'm making some big leaps of logic and assuming you want to learn these tools to get a job :)

Of course, being ex-SPSS (I was the Clementine tech expert at SPSS) and a for a few years a heavy user of Clementine in industry I suppose my response should be a simple 'Clementine', but to be honest i think employers demanding specific toolset experience is naive and foolish.

So, can I be a pain-in-the-arse and say "neither" ?

I work in a telco, doing typical customer analytics (churn, cross-sell, SNA, profiling etc), so my comments are from that industry point of view :)

Having any data mining tool set skill is a bonus, but what I look for in a graduate or experienced analyst is a varied background and good skills in a few principal areas;
- basic stats (sampling method, outlier detection and handling etc).
- databases and SQL (awareness of how to process terabyte size data sources).
- can clearly communicate and describe/illustrate complex analysis to dummys (and never use words like 't-test' or 'eta value' unless asked :).
- can use the words "yes" and "no" to authority figures (the "no" is the important one)

It is surprising how many people claiming to be data miners have this outward appearance of a socially mal-adjusted equation quoting nerd with no ability to project manage or prioritise. In the past I've rejected analysts with 10+ years experience in favour of graduates simply because of presentation skills and ability to communicate.

In my dept we use Clementine, but we have other areas of the company that use SAS (risk for example). These toolset are designed to be easy to learn, and most companies are prepared to train you.

Ok, here's the 'against SAS' viewpoint :) The hard fact is that organisations that invest heavily in SAS typically have SAS data sets and don't as often use the data warehouse for analytics. The SAS datasets may be of a fixed format and summarised a specific way (less likely to be flexible). This is changing (SAS are working hard to get data warehouse integration), but when I ask my peers with a SAS solution they often describe an inflexible set-up involving extracting data out of the data warehouse and ETL'd into SAS files that has been established for years (but works well for them).

Conversely SPSS Clementine is designed to work with the existing data warehouse (to be honest it can't work effectively without one). Since SPSS is established in this course of development, Clementine has been leading concepts such as in-database processing and in-database mining for a few years now. Data mining and processing is converted automatically and transparently into SQL (including scoring models like CART, C5, Neural nets etc) and processed on the data warehouse. The ability to represent an entire data mining project as SQL allows for billions of rows of data to be analysed in highly efficient data warehouses.

These skillsets are not easy to learn unless you are already in the job, but realisation of the problem is halfway to solving it.

Hope my ramblings help...

Tim

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