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Authors: Thomas Ochs 1 and Ute Riemann 2

Affiliations: 1 Villery & Boch, Germany ; 2 SAP Deutschland SE & Co. KG, Germany

Keyword(s): Big Data, Big Data Analytics, Knowledge Management, Cloud Services, KMaaS.

Abstract: Purpose – Nowadays the world is getting more technological savvy. The collection of data is becoming a hype which is a phenomenon is called “big data”. Companies seeking for these data collections and data analytics assuming valuable insights. As for now, these valuable insights are perishable to a high degree - perishable because the insights are only valuable if you can detect and act on them (The Forrester Wave, Q3 2014, p2). In our article, we propose to take advantage of big data analytics while introducing a service-oriented knowledge management discipline that will allow gaining the full value of big data. Herein, we focus on the benefit aspect of big data linked to the service approach of knowledge management, which may increase the value of big data. Findings –In fact, big data analytics offer value and the use of big data has the potential to transform business in itself. However, there are greater opportunities beyond big data analytics once we turn data from information into a knowledge linked to business strategy, easy accessible and consume. With the introduction of knowledge management-as-a-service to the concept of big data, we provide justification for bringing proven knowledge management strategies and tools into the cloud sphere to bear on big data and business analytics. With the introduction of pre-defined service to knowledge management, we open the ability for increased competitiveness as a final consequence (Thuraisingham and Parikh, 2008) and the value of any company (Bertino et al., 2006). Originality/Value – Our article outlines the previously underestimated strong link of big data and knowledge management and how the delivery of data-driven intelligence is supported with the appliance of a cloud-based service model. When big data and cloud-based knowledge management are combined are able to not only uncover a new revenue stream but also create a true competitive advantage. (More)

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Paper citation in several formats:
Ochs, T. and Riemann, U. (2016). Knowledge Management as a Service - When Big Data Meets Knowledge Management. In Proceedings of the International Conference on Internet of Things and Big Data - IoTBD; ISBN 978-989-758-183-0, SciTePress, pages 315-323. DOI: 10.5220/0005851703150323

@conference{iotbd16,
author={Thomas Ochs. and Ute Riemann.},
title={Knowledge Management as a Service - When Big Data Meets Knowledge Management},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - IoTBD},
year={2016},
pages={315-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005851703150323},
isbn={978-989-758-183-0},
}

TY - CONF

JO - Proceedings of the International Conference on Internet of Things and Big Data - IoTBD
TI - Knowledge Management as a Service - When Big Data Meets Knowledge Management
SN - 978-989-758-183-0
AU - Ochs, T.
AU - Riemann, U.
PY - 2016
SP - 315
EP - 323
DO - 10.5220/0005851703150323
PB - SciTePress