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DataOps - Towards a Definition

Organizations seek to streamline their data and analytics structures in order to meet increasingly demanding business requirements. This can be difficult due to complex and fast-moving data landscapes. DataOps promises a remedy by combining an integrated and process-oriented perspective on data with automation and methods from agile software engineering, like DevOps, to improve quality, speed, and collaboration and promote a culture of continuous improvement. The goal of this on-going research is to elaborate DataOps as a new discipline. For this, it explores the body of knowledge and presents a working definition of DataOps as well as an initial research framework based on an explorative literature review and eight interviews with industry experts.