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Paper Number
1985
Paper Type
Completed
Description
We explore how organizations manage and make sense of data collaboratively to drive digital transformation. We present the results of an in-depth case study of a financial organization that used Data Operations (DataOps) - a collaborative data management practice to transform its digital-first offering initiative and thereby redefining its value proposition. Drawing on sensemaking theory, we develop a process model that explains how organizations use DataOps to perceive cues through data democratization, extract plausible and comprehensive insights from data through data storytelling to make interpretations, and leverage data products to take actions that drive data-driven digital transformation. Our findings have implications for data-driven digital transformation as we show how DataOps constitutes a new class of data management practices that enable collaboration between data managers and data consumers and allow organizations to make evidence-based decisions to drive their digital transformation.
Recommended Citation
Xu, Jia; Naseer, Humza; Maynard, Sean B.; and Filippou, Justin, "Managing and Making Sense of Data to Drive Digital Transformation: A Case Study" (2023). ICIS 2023 Proceedings. 7.
https://aisel.aisnet.org/icis2023/diginnoventren/diginnoventren/7
Managing and Making Sense of Data to Drive Digital Transformation: A Case Study
We explore how organizations manage and make sense of data collaboratively to drive digital transformation. We present the results of an in-depth case study of a financial organization that used Data Operations (DataOps) - a collaborative data management practice to transform its digital-first offering initiative and thereby redefining its value proposition. Drawing on sensemaking theory, we develop a process model that explains how organizations use DataOps to perceive cues through data democratization, extract plausible and comprehensive insights from data through data storytelling to make interpretations, and leverage data products to take actions that drive data-driven digital transformation. Our findings have implications for data-driven digital transformation as we show how DataOps constitutes a new class of data management practices that enable collaboration between data managers and data consumers and allow organizations to make evidence-based decisions to drive their digital transformation.
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14-DigitalInnovation