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)
Hauptverfasser: Hashio, Miho, Kolodziej, Michal, Olds, Mike, Samuel, Elizabeth, Ravindran, Suraj, Mohammed, Arshad, Makowski, Marcin
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container_issue 2
container_start_page
container_title Journal of the Society for Clinical Data Management
container_volume 5
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
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title Transformation from Data Management to Data Science Enabled Organization - Where Are We Heading?
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