tag:blogger.com,1999:blog-8071277508022745895.post5720906022300164670..comments2024-02-02T03:22:14.041-08:00Comments on Hooked On Hyperion: Essbase Meets RAnonymoushttp://www.blogger.com/profile/06422579905887903022noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-8071277508022745895.post-23118444596968895552016-11-30T14:48:53.383-08:002016-11-30T14:48:53.383-08:00I'm not an expert on Crystall Ball, so please ...I'm not an expert on Crystall Ball, so please take my answer with a grain of salt. CB is more of a spreadsheet tool with some basic statistical models that allow users to enter assumptions about the model interactively. Tools like R or Python statistical libraries support much broader spectrum of models, including neural nets, deep learning, etc. They scale to huge datasets in distributed environments. With those tools you can built whatever application you like. So the purpose and audiences are quite different. In the posts i describe use cases when forecasting is automated and the blend of models is constantly updated depending on the new data. But again, those are just examples of what you could do. Anonymoushttps://www.blogger.com/profile/06422579905887903022noreply@blogger.comtag:blogger.com,1999:blog-8071277508022745895.post-83218483595150270282016-11-30T13:38:29.892-08:002016-11-30T13:38:29.892-08:00interesting topic. how does this compare with cap...interesting topic. how does this compare with capabilities afforded by Oracle's acquisition of Decisioneering's Crystal ball? does it work similar to the 'R' integrations described above?Anonymoushttps://www.blogger.com/profile/18160624722593055118noreply@blogger.comtag:blogger.com,1999:blog-8071277508022745895.post-53571499013967098912016-09-22T20:34:11.633-07:002016-09-22T20:34:11.633-07:00Amazing postsAmazing postsABHISHEK BHAGERIAhttps://www.blogger.com/profile/14212063050960997951noreply@blogger.com