Transformation from Data Management to Data Science Enabled Organization - Where Are We Heading?
We, just like the catalogue companies, are facing technological changes that clearly provide an opportunity. To efficiently accelerate pipeline delivery with high quality data, we believe we must develop a standardized data acquisition strategy with AI/ML-driven quality checking and advanced data an...
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Veröffentlicht in: | Journal of the Society for Clinical Data Management 2024-08, Vol.5 (2) |
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container_title | Journal of the Society for Clinical Data Management |
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creator | Hashio, Miho Kolodziej, Michal Olds, Mike Samuel, Elizabeth Ravindran, Suraj Mohammed, Arshad Makowski, Marcin |
description | We, just like the catalogue companies, are facing technological changes that clearly provide an opportunity. To efficiently accelerate pipeline delivery with high quality data, we believe we must develop a standardized data acquisition strategy with AI/ML-driven quality checking and advanced data analytics. This is very exciting chance for us to improve our performance by leveraging our rapidly advancing science and technology. However, we are seeing risks to our benefitting from these new technological advancements because of our own old routines, processes, and preconceptions. Are we progressing at a pace?
In this article we will look deep into the soul of our organization to define where we want to go, identify the anchors, and try to figure out how to break loose from them. |
doi_str_mv | 10.47912/jscdm.349 |
format | Article |
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title | Transformation from Data Management to Data Science Enabled Organization - Where Are We Heading? |
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