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Join thought leaders from Trifacta and Cloudera for an on-demand webinar examining how financial institutions are wrangling diverse data in Hadoop to build faster and more accurate processes for uncovering banking or credit card fraud. By working with new sources and combinations of data, analysts are uncovering new signals and insights that can provide more accurate financial risk models and more effectively detect potential incidences of fraud. Watch this video to learn how data wrangling applies 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.""