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.
Since last summer, Portrait Software has been part of the Pitney Bowes Business Insight (PBBI) subsidiary. Since the acquisition the combined teams have been putting together a comprehensive set of products to support data quality and customer interaction management. The suite includes the Portrait Self-Service Analytics, Miner, Uplift, Uplift Optimizer, Dialogue, Interaction Optimizer and Foundation modules. The first four provide insights to understand customer interactions and the other three support acting on those insights. Recently PBBI announced updates to both Miner version 6.0 and Uplift Optimizer.
Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Experience Management, Operational Performance, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, CRM, Data Mining