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What is Advanced Data Analytics

Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies
The techniques used to identify, extract, and gather valuable knowledge from large amounts of data, structured and unstructured. The benefits stem from the combination of the immense volume of available data and the rapidly accelerating processing capabilities, both at technological and organisational level, to derive data-driven decision making.
Published in Chapter:
A New Model for the Digital Transformation of the Strategic Procurement Function: A Case Study From the Aviation Industry
Andrea Altundag (Independent Researcher, Germany)
DOI: 10.4018/978-1-7998-7712-7.ch006
Abstract
The purpose of this chapter is to illustrate the application of advanced data analytics in the domain of strategic procurement and its effects on processes, people, and on the procurement business model itself. Advanced data analytics are generally accepted as being one of the key enablers for organisations to build their capabilities to adapt quickly and navigate through volatile business circumstances successfully. Strategic procurement is in a pivotal position in a network of external suppliers and internal stakeholders, and thus ideally positioned to benefit from the introduction of advanced data analytics. However, to date, the application of these technologies has been limited, and clear evidence of benefits delivery is yet to be demonstrated. This chapter draws upon research results from a detailed case study in the aviation industry to assess the benefits of advanced data analytics in the strategic procurement function and puts forward a maturity model of relevance to both researchers and procurement professionals.
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