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The Year of the Wrangle:
Highlights from Strata Data

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  • Data Onboarding:
    Why It’s Broken, and Why It Matters

    Data onboarding—the preparation of unfamiliar data from disparate sources, both internal and external to... more

      |  October 20, 2017

    The Role of Self-Service Data Preparation
    in Analytics Modernization

    This article was originally published by Datanami on October 5, 2017.  It’s no secret that data is playing... more

      |  October 12, 2017

    Google Launches Public Beta of Cloud Dataprep, Built in Collaboration With Trifacta

    Google recently announced that Google Cloud Dataprep—the new managed data wrangling service developed in... more

      |  September 21, 2017

    Bringing Data Preparation to
    Google Cloud & Beyond

    A few months back we announced our collaboration with Google Cloud on the launch of Google Cloud Dataprep at... more

      |  September 14, 2017

    The Benefits of Wrangling Data
    Across Cloud and On-Premise

    Many organizations are moving their data to cloud-based environments, but it’s a transition that cannot be... more

      |  September 11, 2017

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    How Royal Bank of Scotland Optimized Analytics with Data Wrangling

    Accelerating Analytics: A Constant Struggle for Data-driven Organizations Organizations that efficiently... more

      |  August 17, 2017

    Optimize SAS Investments with Data Wrangling

    The Rise of Data Wrangling Of the many steps required to accurately analyze big data, none is more... more

      |  August 14, 2017

    Modernize Your Analytics Tools for Faster Results—at Less Cost

    Analytics for Yesterday and Today There’s a considerable strain in today’s data analytics landscape. The... more

      |  August 8, 2017

    How to Put an Effective Metadata Strategy in Place

    This article was originally published Information Management on July 27.  The proliferation of analytics has... more

      |  July 31, 2017

    When data gets big: Best practices for data preparation at scale

    This article was originally published on SD Times.  Today we work with data that has grown up in diversity,... more

      |  July 10, 2017
     

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    How Nordea Bank Leverages Trifacta
    to Accelerate Financial Reporting

    Nordea Bank is one of the largest banks in Europe, with over 10 million customers in the Nordic region. As... more

      |  June 30, 2017

    Managing Diverse Data for Financial Regulatory Reporting

    Regulatory reporting requires that diverse data from across the bank be brought together quickly, which can... more

      |  June 27, 2017

    3 Data Strategies for Banks to Thrive in a Changing Compliance Landscape

    Regulatory compliance costs eat up nearly 20% of a financial services company’s “run-the-bank” cost... more

      |  June 20, 2017

    Effective and Efficient Customer Behavior Analysis

    Know your customers more completely using customer behavior analysis—the key to improving products, gaining... more

      |  June 19, 2017

    Excel Running Slow? We Know. See How Trifacta Can Help

    “Excel running slow” is a common complaint for more and more users. Excel’s ubiquity and ease of use... more

      |  June 16, 2017

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    Data Wrangling Versus ETL: What’s the Difference?

    This article was originally published on TDWI Upside on February 10, 2017.  Over the past few years, data... more

      |  June 12, 2017

    Data Accessibility with Tableau Visualization and Trifacta Wrangling

    Installing systems to accrue data is no longer enough to win in the marketplace and Tableau visualizations... more

      |  June 9, 2017

    Best-of-Breed Data Cataloging and Data Wrangling: A Match Made in Heaven

    At Trifacta, we’re focused on data wrangling, or the process of converting diverse, raw, messy data into a... more

      |  June 8, 2017