SPSS measures data mining productivity by time-to-value�the time required to develop and deploy models that deliver value within your organization’s business operations. To accelerate time-to-value, Clementine pioneered the concept of a visual workflow interface with support and scaling for the entire data mining process�from data access and preparation to deployment.
Other data mining workbenches optimize raw processing power, rather than productivity throughout the entire data mining process. This builds models quickly, but may not deliver timely value to your organization. Minimize your time-to-value by developing and deploying models with the most productive data mining workbench available.
The interactive, visual workflow approach to data mining is the key to Clementine's ability to accelerate time-to-value because it makes business-focused "train-of-thought" analysis possible. Clementine’s interactive "streams" visually map the data mining business process as you work. Apply your business expertise to quickly explore hunches or ideas. Move interactively through every step in the data mining process to develop valuable models more quickly.
Clementine’s truly interactive data mining streams make rapid �train-of-thought� analysis possible.Click image to enlarge.
Other workbenches have mimicked Clementine’s industry-leading visual workflow interface, but have limited interactivity that requires coding. This creativity-barrier impedes the data mining discovery process. Clementine’s true visual interface keeps you focused on business goals�rather than on performing technical tasks.
Clementine's interactive visualization techniques help advance modeling progress by guiding the way to the best results. "Query by mouse" to explore patterns�selecting subsets of data and deriving new variables on the fly from discoveries made within a graph. Interactively explore multidimensional data with 3-D, panel, animation, and other types of data visualization. Clementine’s advanced visualization tool set includes bar charts, pie charts, boxplots, scatterplot matrices (SPLOM), parallel coordinate maps, heat maps, and other types of maps, as well as panel plots and linkage analysis plots.
Clementine’s visualizations advance the data mining discovery process to help enable rapid modeling. Click image to enlarge.
The ease with which you can build and combine predictive models in Clementine means that you find the best performing models quickly. All of Clementine’s modeling techniques work together so you can build and test numerous models to immediately see which model produces the best result. Even combine models by using the results of one model as input into another model. "Meta-models" consider the initial model's decisions and can improve results substantially.
Evaluate multiple models with lift, gains, profit, response, and other model evaluation graphs in a one-step process that shortens project time. Clementine’s integrated data mining platform also extends the modeling workflow across your entire enterprise with SPSS Predictive Enterprise Services—centralizing models for reuse and collaboration.
Clementine provides the best and broadest analytics available�and the open architecture to extend further—so you have all the techniques necessary to deliver business value within a single, productive workbench. This unique combination of analytical depth and openness delivers unrivaled extensibility:
The Clementine Data Mining Jumpstart—a five-day, fixed-price consulting engagement�is also available to help you apply a proven methodology and Clementine's process support capabilities to jumpstart data mining projects.
White Paper: Clementine Data
Mining Workbench
Bloor Research
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leadership in data
mining market.
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