Data Governance as Driver of Value Stream Optimization and as Pacemaker for the Digital Transformation

Lars Michael Bollweg ()

Chapter 6 in Data Governance for Managers, 2022, pp 113-142 from Springer

Abstract: Abstract Once you have found the right perspective on digital transformation, you realize that in addition to cultural “change,” it is often just a matter of operationalizing solid craftsmanship (process models, methods, skills) for planning and implementing successful digital advancement. In other words, a company must begin to recognize digital transformation for what it has long been: a task that must be approached in a professional and structured manner. This task involves the company empowering its employees via specialist and methodological knowledge to be able to tackle the challenges of digitalization in a structured and collaborative manner. In this chapter, we will discuss this operationalization of digital transformation on the basis of a simple yet effective method, data-driven value stream optimization. Data-driven value stream optimization offers a clearly structured procedure for identifying digital development potential. By the end of this chapter, you will not only have a clear idea of the practical design of digital transformation options in your company’s day-to-day operations, but will also be able to identify and implement them in a structured and methodical manner.

Date: 2022
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DOI: 10.1007/978-3-662-65171-1_6

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