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A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. data engineers delivered over 100 lines of code and 1.5
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A sort of information map. And when you’re lost in information, an information map is kind of useful.” – David McCandless. Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential. Did you know?
Data has been the driving force of the decade. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so.
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erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. IT teams need the ability to smoothly generate hundreds of mappings and ETL jobs.
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erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.
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Like pretty much everything else in the world, football has become more data-driven than ever, so when the 24 teams set out to win the championship on 11 June , you can bet your bottom Euro that each team’s tactics, formation, and training will be shaped by a mountain of data. We can’t wait!
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How Enterprise Architecture Guides Innovation and Transformation. One of the stunning results of the study was that 100 percent of respondents from companies that identified themselves as “digital leaders” said their architecture teams develop and update models of what the business’s IT architecture should look like in the future.
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If you have followed my prior blog posts , you know that I have a keen interest in the topic of climate risk modeling and how it can help assess the economic impacts of climate change. What third party data is needed to model climate risk? Then determine your inputs and how you will source that data.
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The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.
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Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. The Next section provides advice on what you should be doing to invest in yourself to get ready for the depth and breadth change Artificial Intelligence is going to bestow upon us (regardless of your business role).
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