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Learn how data wrangling can help uncover potential instances of fraud

data wrangling on hadoop for fraud detection and investigation demo

Leading Financial Services organizations are motivated to drive innovation through the exploratory analysis of data of all shapes & sizes. By working with new sources and combinations of data, analysts are creating more accurate financial risk models and more effectively detecting potential incidences of fraud. Watch this brief demo to learn how data wrangling can apply to performing exploratory analytics on Hadoop.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""