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 third post in a series about how marketers are leveraging Designer Cloud, following our first post on onboarding marketing data and our second post on marketing analytics. In this post, we discuss how Designer Cloud is being used to increase upsell opportunities through customer marketing. The most cost-effective form of marketing is […]
MoreHow can Martha Stewart be of any relevance in a blog post titled “What is data structure?” Stay with us and we promise to explain how Martha can teach us about basic and advanced data structures. When thinking of data structure, think of your car keys. Suppose you’ve lost your car keys at least once […]
MoreThis is the second post in a series about how marketers are leveraging Designer Cloud, following our first post on onboarding marketing data. In this post, we discuss how Designer Cloud is being used to prepare data for marketing analytics. When presenting marketing findings, one of the first things asked is “How accurate is the […]
MoreThis is the first post in a series about how marketers are leveraging Designer Cloud Data Engineering Cloud. In this post, we discuss how Designer Cloud 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 […]
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 […]
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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