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On Seven Drawbacks of Traditional OLAP

@Sébastien, you comments are very pertinent. I agree with you mostly.

I think people who have used BI tools will have a easier and clearer understanding of the benefits of modern OLAP (or so called real OLAP), so i don't worry about the acceptance for the modern OLAP.

As you mentioned our product, esProc, i believe, esProc is a perfect solution for the drawbacks of OLAP above. Off course, it can't replace R or MDX, but, just as you say, DAX makes modeling easier, but esProc supports same analytics without modeling beforehand.

It may take ordinary businessman a little time to learn, but for business analysts who have not much technical background and IT developers engaged for a bigger project, esProc is ideal script with features such as,  intuitive syntax, easy to learn, powerful computation capability, and most importantly, strong functionality to meet all requirements.

 

Jim King

www.raqsoft.com

January 22, 2013    View Comment    

On Interactive Analysis Tools Comparison: R Language, Matlab, esProc, SAS, SPSS, Excel, and SQL

datalover, just as u said, R and esProc is more convenient for complex statistcs computing. But esProc and Matlab don't need special plug-in with other languages, but there are many matlab plug-in with other appiliactions. While esProc can also generate SQL automatically, and can be used as JDBC database.

October 25, 2012    View Comment    

On Interactive Analysis Tools Comparison: R Language, Matlab, esProc, SAS, SPSS, Excel, and SQL

Thanks for your comment, Jon Peck. Right, it is really convenient for SPSS to invoking other languages. I have mentioned interactive analytics be my comparison key point at the beginning, so "interface for secondary development" is not the point this time.

As you mentioned, in fact, most interactive analytics tools support external invocation. For example, SAS to invoke R, esProc to invoke Excel, and so on.

October 18, 2012    View Comment    

On Interactive Analysis Tools Comparison: R Language, Matlab, esProc, SAS, SPSS, Excel, and SQL

off course, my pleasure, Jessica.

esProc is script for structured data that will ease you from complex business data computing and analytics. It's different from traditional OLAP tool for it returns a real sense OLAP. For detail, i think information from the official website should be helpful for you. http://www.raqsoft.com/products

 

October 18, 2012    View Comment    

On Interactive Analysis Tools Comparison: R Language, Matlab, esProc, SAS, SPSS, Excel, and SQL

Datalove, i'm glad you like my article. You are right, i am considering to add more application in my article. But, in fact, i consider more about "which tools can realize the interactive analysis". It is the user's freedom to choose one for free or charge, language or application.There is no pie from the sky, that's why the analytics tools are charged. Even MySQL is open course not free. R and the other tools all needs "language" to solve complex problems, but, someway, they call it "script", no differences in essence.

Finally, thanks for your kind suggestion.

October 18, 2012    View Comment    

On Interactive Analytics and OLAP - Part I

Just as you said, there are many instant analytics tools, and many of them are very excellent in their own fields. For instant analysis, i think an tool which is be expert in OLAP can best satisfy realtime analytics needs. Many of the OLAP tools are limited either in data volume, or in complex analysis or something else. It is really hard to find a cost effitive OLAP tool.

Oh, for the second question, SQL and Excel can also handle those problems, but it can be a bit hard for people who know basic SQL and excel. For it needs complex SQL and skilled Excel techniques.


 For small and medium business, Raqsoft esProc can be best, it overcomes all the difficulties and be a 100 percent OLAP tool.

 

September 4, 2012    View Comment    

On How Much Big Data is Too Much?

how much Big Data is too much? Nice question! Accualy, i believe, all of us realize how valuable big data is, but currently, big data is too much for most enterprises. I think, there will more useful tools for data mining, just like explore the mystery of life. When we can handle big data as much as enough for create whatever we want, then big data will never be too much.

August 15, 2012    View Comment    

 

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