Higher quality data for more meaningful insights

The higher quality the data used for analysis, the more meaningful the insights and the more impactful the outcome. With Big Data, quality and proper preparation is even more important, since Big Data can be the dirtiest data in an enterprise. Ensure your Big Data is ready for any analytical process.

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Eliminate data volume limits

Feed your analytics tools with any and all data, because your data preparation process will scale economically. Work with first-party, third-party, structured, unstructured, active and dark data. Base your insights on a more complete picture of your customers and your business.

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Don’t move your Hadoop data

RedPoint executes “inside” Hadoop, so you can perform your data prep without moving data out of Hadoop—and with no MapReduce skills required. Reduce the cost and increase the speed of obtaining critical insights.

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