Headline – Mine is better
Publication –Channel World
Between SAS Enterprise Miner and IBM SPSS Clementine; which is more cost effective?
The primary features of SPSS are Perpetual licensing, which allows customers to own their software instead of having to license it on an annual basis and incur large TCO for their Predictive Analytics solutions; flexible deployment options from a standalone desktop application makes it ideal for individuals, and a multi-client/server deployment is appropriate for larger analyst teams. It also offers seamless deployment into business process with Collaboration and Deployment Services integration. The Self-Learning Response Model (SLRM) node enables customers to build a model that can be continually updated, or re-estimated, as a dataset grows without having to rebuild the model every time while using the complete dataset.
The performance supports all common data sources used by enterprise organizations. SQL Pushback and in database Mining are available in one integrated solution suite. Seamless integration is possible with Survey Data Collection tools for additional information in developing more accurate models. IBM SPSS Data Mining Workbench doesn't require users to buy access engines to access various data sources. IBM SPSS Modeler doesn't require replicating physical data to get efficient performance. The users won't have to buy and install a separate bolt on capability in order to manage your models - it is built into our Collaboration and Deployment Services. The text mining capability has complete ability to read from websites, RSS feed, file locations. No additional tool is required to extract concepts, create categories and do sentiment analysis.
SAS enterprise Miner streamlines the data mining process to create highly accurate predictive and descriptive models using big data. It offers an easy-to-use interface for iterative development of analytical models and to quickly share insights to take better decisions. Forward-thinking organizations today use SAS predictive analytics and data mining software to detect fraud, minimize risk, anticipate resource demands, increase response rates for marketing campaigns and curb customer attrition. SAS Enterprise Miner provides superior analytical depth. It focuses on building the least complex model with the most predictive power. It offers multiple ways to conduct data manipulation and preparation.
Organizations can interactively visualize, explore, and understand relationships among big data to assess alternative courses of action. SAS Enterprise Miner helps solve a variety of business problems irrespective of industry. SAS' breadth in targeting different business problems is its biggest differentiator against its competition. Independent industry analyst firm Hurwitz & Associates evaluated SAS Predictive Analytics in its 2011 Victory Index Report. As part of the research, Hurwitz fielded several predictive analytics customer surveys and spoke directly to a number of SAS customers. SAS scored higher that all other vendors in the Victory Index on following criteria: Business Value, Performance/Scalability, Customer Satisfaction and Technology and Tools.