In our benchmark research in predictive analytics we’ve uncovered some intriguing tools for taking advantage of big data in the enterprise. Revolution Analytics, which we analyzed earlier this year, this month introduced its 6.0 release. Revolution extends the open source statistical programming language R with capabilities you would expect out of enterprise software. The company has grown substantially over the last several years and has an impressive list of more than a hundred customers in both the private and public sectors. Revolution partners with database and data integration providers such as Talend and Informatica and business intelligence providers who want to connect to more advanced level of analytics. Revolution can operate across a range of big data architectures, including Hadoop, working with Cloudera and IBM as well as data warehouse appliances such as IBM Netezza and Teradata. This is a smart move, since predictive analytics is the second most important unavailable capability cited by big data deployments in to our benchmark research.
Topics: Big Data, Linux, Operational Performance Management (OPM), Predictive, Revolution, Business Analytics, Cloud Computing, Hadoop, Business Intelligence (BI), Business Performance Management (BPM), Clouderea, Data Mining
At first I thought 1010data just developed a faster data warehouse technology to be used with business intelligence tools. After a recent briefing, however, I learned that it provides much more than a data warehouse; the product is a large-scale analytics server that empowers business analysts to work on big data, conducting for, example, market basket analysis or correlations of customer and product information. The software lets organizations retain and analyze more data and increase the speed of analysis, which our benchmark research on big data found to be the top two benefits of the technology for more than 70 percent of organizations.
Topics: Big Data, Data Warehouse, 1010data, Operational Performance Management (OPM), Predictive, Business Analytics, Business Intelligence, Cloud Computing, Information Management, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM), Sales Performance Management (SPM)