“RapidMiner7 streamlines the process of accessing, importing, and preparing data for true predictive analytics which makes the users more productive,” explains Lee. The product supports latest Hadoop distribution and more code-optional operations for Spark; this enables users to extract greater value from big data. Another feature of the product is the tableau extension through which clients can obtain new insights on the value of predictive analytics in the form of tableau data visualizations and gains better results.
RapidMiner Radoop is a core component of the RapidMiner Predictive Analytics Platform. It extends predictive analytics to Hadoop and supports Hadoop security implementations to give a seamless service. The product translates predictive analytics workflows in RapidMiner Studio into the language of Hadoop and ensures that each step in the predictive analytics process is correctly integrated and executed. “With the added flexibility, clients are able to incorporate SparkR, PySpark, and HiveQL scripts within their own predictive analytics workflows,” says Lee.
RapidMiner7 streamlines the process of accessing, importing, and preparing data for true predictive analytics which makes the users more productive
Such best-of-breed predictive analytics solution was utilized by one of the clients, PayPal, a global commerce company for online payment system. The client was facing issues in analyzing the vast quantity of customer feedback, which was covered in multiple languages from global customer base. “Using RapidMiner, we could extract the list of the most frequent words from the customer complaint verbatim dataset. We then found two top passwords or PayPal access ‘defects’ and identified the actionable, root causes, after discussing results with the relevant engineers,” says Lee. RapidMiner was able to deliver cost-effective results within two months.
RapidMiner considers expanding their services to make it more streamlined and plans to incorporate new features to enrich the client’s experience. “We want to improve our technique in predictive analytics by bringing together global expertise, innovation, and creativity,” concludes Lee.