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The Future of Big Data and Business Operations in the Context of Relational In-Memory Databases : Scenarios for the Year 2025

Reichelt, J. (2016) The Future of Big Data and Business Operations in the Context of Relational In-Memory Databases : Scenarios for the Year 2025.

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Abstract:Decision-makers face a quickening pace of change today, increasing uncertainty for businesses. Therefore, making decisions in real-time is gaining in relevance. Also, the Internet of Things (IoT) is an important recent development resulting in increasing data volumes. Through analyses, IoT data becomes valuable for real-time strategic decisions. The potential impact of the IoT for industrial settings (Industry 4.0) is expected to be particularly extensive. A crucial technology for real-time analysis of large data volumes is relational in-memory databases (RIMDB). A thorough understanding of RIMDB can guide more informed decisions. However, RIMDB are also subject to change by various driving forces. Hence, consideration of the technology’s future development is useful. Aimed at both RIMDB vendors and Industry 4.0 players, this thesis answers the research question: How can relational in-memory database (RIMDB) developments by 2025 affect Industry 4.0? To do so, the scenario method based on Reibnitz (1988) is applied in a technology foresight study. Ten experts from research and practice were consulted in thirteen semi-structured interviews. The thesis results include 31 driving forces, condensed to six key drivers. The latter serve as the basis for three final scenarios, set in the year 2025 and described in a narrative fashion.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:50 technical science in general, 85 business administration, organizational science
Programme:Business Administration MSc (60644)
Link to this item:http://purl.utwente.nl/essays/69508
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