I think Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to create interactive, customizable dashboards, build their own reports, run ad-hoc queries and analyze and drill-down into their data and performance metrics.
It depends. SAS provides a very rich if expensive set of easy to use tools to perform those functions. On a budget and with time to learn how to do the programming, you could use R. R is a programming language that is available for free and there is a large set of contributed libraries that have routines for the various kind of statistics that you might want to do.
You could use a broad spectrum of applications and tools for instance, Weka (it contains many algorithms for data preparation, classification, regression, clustering, association rules mining, and visualization), SPSS modeler (it is a data mining and text analytics software application from IBM), RapidMiner (it is a data science software), Oracle Data Miner as well as SPMF: A java open-source pattern mining library, to name but a few. A precise explanation about SPMF tool has been provided at the following link:
Article SPMF: A java open-source pattern mining library