Will Davis is a Director of Product Marketing at Trifacta. He has several years of marketing experience in the Big Data industry. Prior to joining Trifacta, Will led marketing at ClearStory Data, Greenplum and GoodData. Will has a Bachelor's degree in History from Brown Univeristy.
This is the second post in a series about how marketers are leveraging Trifacta, following our first post on onboarding marketing data. In this post, we discuss how Trifacta is being used to prepare data for marketing analytics. When presenting marketing findings, one of the first things asked is “How accurate is the data?” When […]
MoreThis is the first post in a series about how marketers are leveraging Trifacta Data Engineering Cloud. In this post, we discuss how Trifacta is being used for marketing data onboarding. In recent years, nothing has endured quite like data-driven marketing—using data effectively has become the status quo for modern marketers, and that expectation is […]
MoreLike most of the world, the Trifacta team has hunkered down over the past few weeks in response to COVID-19. The data nerds in us are doing everything to analyze the situation—in fact, members of our talented team have volunteered their data skills to provide assistance to those working with data related to COVID-19. But […]
MoreThe extract, transform, and load process (ETL process), and ETL tools, have been the de facto way to move and transform data within data warehouses since the onset. It was, and for many continues to be, a necessary intermediary between data sources and data warehouse/business intelligence implementations, allowing organizations to extract a variety of datasets […]
MoreThe question is no longer, “Are you planning to move to the cloud?” It’s “How are you leveraging the cloud today?” and “What are the plans for expanding your cloud footprint in the future?” Every organization is leveraging the cloud in some shape or form. Whether it be Amazon Web Services, Microsoft Azure, Google Cloud […]
MoreData quality has been going through a renaissance recently. As a growing number of organizations ramp up efforts to transition computing infrastructure to the cloud and invest in cutting-edge machine learning and AI initiatives, they are finding that the #1 barrier to success is the quality of their data. The old adage “Garbage In, Garbage […]
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