数据挖掘 - 预测分析
我们正在考虑购买数据挖掘软件来主要运行预测分析过程。
SQL Server 数据挖掘解决方案与 IBM SPSS 等其他解决方案相比如何？
由于 SQL Server DM 包含在 SQL Server Enterprise 许可证中 - 有什么理由额外花费 10 万美元购买单独的软件来执行 DM？
We are looking at acquiring Data Mining software to primarily run predictive analysis processes.
How does SQL Server Data Mining solution compares to other solutions like SPSS from IBM?
Since SQL Server DM is included in SQL Server Enterprise license - what would be the justification to spend extra couple 100K to buy separate software just to do DM?
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我也会研究开源选项，包括 R、RapidMiner、Weka
我建议查看 Rexer 调查，因为它显示了各种数据挖掘产品的受欢迎程度和满意度衡量标准：
http://www.kdnuggets.com/2010/03/f-年度-rexer-analytics-data-miner-survey-results.html
I would look into open source options as well, including R, RapidMiner, Weka
I would recommend checking out the Rexer survey, as it shows popularity and satisfaction measures for a variety of data mining products:
http://www.kdnuggets.com/2010/03/f-annual-rexer-analytics-data-miner-survey-results.html
根据您想要实现的目标，当然还有您的预算，R 中确实可以完成一些伟大的事情。查看 Rattle for R 和 RevolutionComputing。
我是 SPSS 的忠实粉丝，不幸的是还没有使用他们的 Modeler 包，但看起来它可能值得考虑。我使用过 SAS Enterprise Miner，虽然它功能强大，但我不是它的忠实粉丝。
我对 Weka 的接触不多，但我发现 RapidMiner 的学习曲线很陡峭，但确实有很多功能。
Depending on what you are looking to accomplish, and obviously your budget, there are certainly some great things being done in R. Check out Rattle for R and Revolution Computing.
I am a big fan of SPSS, and unfortunately have not used their Modeler package, but it seems like it may be worth considering. I have used SAS Enterprise Miner, and while it is powerful, I am not a big fan.
I haven't dabbled with Weka that much, but I found RapidMiner to have a steep learning curve, but does have alot of capability.
如果您想保留 Microsoft 堆栈中的所有内容，请访问 www.predixionsoftware.com，该网站正计划发布颠覆性的 Excel 插件，作为当前 MS DM 插件的更新。
If you want to keep everything in the Microsoft stack check out www.predixionsoftware.com which is planning the release of a disruptive Excel add-in as an update to the current MS DM add-ins.
在支付其他费用之前，您可能想先尝试一下KNIME。与数据库配合良好，非常适合探索性分析。
You might want want to give KNIME a try before paying for something else. Works well with databases and is excellent for exploratory analysis.
我建议检查开源数据挖掘软件。有一些非常好的免费开源软件。
I would suggest to check open-source data mining software. There are some very good open-source software that are free.
我首先会使用多维和表格在 SSAS 中构建一些数据挖掘模型，然后获得 Google Analytics 帐户。我建立了一个社交网站，会员必须加入并使用 Google Analytics 开始构建报告仪表板，并且可能已经建立了近千个。起点很好，R 很好，Omni 曾经是顶级的，但 Adobe 买了它们，clicktracks、quilk view、Sisense、Tableau、Actuate，但我会等着看微软发布的产品如何。它很可能会像在 BI 市场一样脱颖而出，在市场份额方面跃升至第二位，在数据库市场的增长方面跃升至第一。
I Would start by building some data mining models in SSAS using both Multidimensional and Tabular, and then get an account for Google Analytics. I built a social networking website that was set up where members had to join and used Google Analytics to start building reporting dashboards and have probably built near a thousand. Good starting point, R is good, Omni used to be the top dawg but Adobe bought them, clicktracks, quilk view, Sisense, Tableau, Actuate, however I would wait and see how the product Microsoft releases is. Chances are it will set itself apart like they have in the BI market and shot up to 2nd in market share and 1st in growth in the database market.