Dataiku DSS is the collaborative data science platform that enables teams to explore, prototype, build, and deliver their own data products more efficiently. Dataiku DSS provides an interactive visual interface where they can point, click, and build or use languages like SQL to data wrangle, model, easily re-run workflows, visualize results, and get up-to-date insights on demand.
Dataiku DSS provides tools to draft data preparation and modelisation in seconds, that wish to leverage their favorite ML libraries (scikitlearn, R, MLlib, H2O, and so on), and that rely on automating their work in a completely customizable interface. Data Ops. It also coordinate development and operations by handling workflow automations, creating predictive web services, monitoring data & model health on a daily basis, and who don’t want to worry about multi-technology platforms. Dataiku provides immediate visual insights with drag and drop data to build graphs for enhanced data exploration and immediate visual insights. With over 25 built-in chart formats, understand your data in the blink of an eye and DSS automatically computes charts on your existing Big Data infrastructure (SQL or Impala) for optimal performance.
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.