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How Baker Hughes Masters Data Quality for Global Operations
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After watching this recording, you'll understand...
- The strategic reasoning behind Baker Hughes' departure from their legacy Data Quality tools
- How Baker Hughes is starting to see tremendous success with the combination of Databricks, Alation, and Lightup
- Tried-and-true guidelines for scaling data quality checks for a global giant like Baker Hughes that operates in over 120 countries
Their Story
Why fixing data quality at scale was essential for Baker Hughes
Baker Hughes is one of the largest oil field services companies in the world. They offer products and services for oil well drilling, formation evaluation, completion, production, and reservoir consulting. Considering their broad catalog of products and services, and that they operate in over 120 countries, data is as important to Baker Hughes as oil. Data from the field is essential in understanding Well performance, drill performance, project timelines, and a host of other business critical applications. Without quality data that is easily understood and accessible by the entire organization, Baker Hughes would not experience the success that they have.
Join us for an insightful conversation with Dan McPartlan, Senior Director of Data & Analytics at Baker Hughes, about their work on building a world-class data platform at the heart of Baker Hughes business operations. In this conversation, we’ll discuss the challenges of operationalizing data and how Baker Hughes is starting to see tremendous success with the combination of Databricks, Alation, and Lightup. We’ll take a special focus on the data quality challenges that inevitably creep in at an organization the size and scale of Baker Hughes.
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