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Service Analytics: Leveraging Data Across Enterprise Boundaries for Competitive Advantage

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Globalization of Professional Services

Abstract

The modern view on services focuses on the co-creation of value between providers and customers—leveraging knowledge, skills, and resources of both partners from an overall system point of view. This perspective goes beyond the typical customer integration in a traditional services context, thereby leading professional services firms to quickly adopt new methods to exploit this potential. This includes capturing, processing, and analyzing data produced by multiple actors within a services system with the objective to support strategy implementations and drive complex decisions—an area which we call “service analytics” in this paper. We describe the nature of service analytics and outline its distinctiveness with regard to business analytics. We subsequently provide a typology of its approaches based on the different types of data available in services systems. We finally illustrate the potential of service analytics by means of two application scenarios: customer intimacy analytics focusing on the service encounter as well as demand and inventory analytics which are concerned with customer usage.

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References

  • Chaudhuri S, Dayal U (1997) An overview of data warehousing and OLAP technology. ACM SIGMOD Rec 26(1):65–74

    Article  Google Scholar 

  • Davenport TH (2006) Competing on analytics. Harv Bus Rev 84(1):98–107

    MathSciNet  Google Scholar 

  • Davenport TH, Harris JG (2007) Competing on analytics: the new science of winning. Harvard Business School Press, Boston, MA

    Google Scholar 

  • Engelhardt WH, Kleinaltenkamp M, Reckenfelderbäumer M (1993) Leistungsbündel als Absatzobjekte – Ein Ansatz zur Überwindung der Dichotomie von Sach- und Dienstleistungsobjekten. Zeitschrift für betriebswirtschaftliche Forschung 45(5):395–426

    Google Scholar 

  • Habryn F, Blau B, Satzger G, Kölmel B (2010) Towards a model for measuring customer intimacy in B2B services. In: Morin JH, Ralyté J, Snene M (eds) Exploring services science. Springer, Berlin

    Google Scholar 

  • Han J, Chen-Chuan Chang K (2002) Data mining for web intelligence. Computer 35(11):54–60

    Google Scholar 

  • IBM Institute for Business Value (2010) Capitalizing on complexity: insight from the global CEO study. Available at: ibm.com/capitalizingoncomplexity

    Google Scholar 

  • INFORMS (2012) Analytics. INFORMS Online, p.1. Available at: http://www.informs.org/Community/Analytics. Accessed May 10, 2012

  • Kobielus J (2010) The Forrester Wave™: predictive analytics and data mining solutions. Forrester, Cambridge, MA

    Google Scholar 

  • Kohavi R, Rothleder NJ, Simoudis E (2002) Emerging trends in business analytics. Commun ACM 45(8):45–48

    Article  Google Scholar 

  • Korevaar P, Schimpel U, Boedi R (2007) Inventory budget optimization: meeting system-wide service levels in practice. IBM J Res Dev 51(3):447–464

    Article  Google Scholar 

  • Lavalle S et al (2011) Big data, analytics, and the path from insights to value big data, analytics and the path from insights to value. MIT Slogan Manage Rev 52(2):20–32

    Google Scholar 

  • Liang T (2009) Information technology for customer intimacy: a niche for research in the internet age. Pac Asia J Assoc Inform Syst 1(3):1–4

    Google Scholar 

  • McKinsey (2011) Big data: the next frontier for innovation, competition, and productivity. McKinsey & Company

    Google Scholar 

  • Maglio PP, Srinivasan S, Kreulen JT, Sporer J (2006) Service systems, service scientists, SSME, and innovation. Commun ACM 49(7):81–85

    Article  Google Scholar 

  • Mojsilović A, Connors D (2010) Workforce analytics for the services economy. In: Maglio PP, Kieliszewski CA, Spohrer JC (eds) Handbook of service science. Springer, Boston, MA

    Google Scholar 

  • Neely A (2009) Exploring the financial consequences of the servitization of manufacturing. Oper Manage Res 1(2):103–118

    Article  Google Scholar 

  • Payne AF, Storbacka K, Frow P (2007) Managing the co-creation of value. J Acad Mark Sci 36(1):83–96

    Article  Google Scholar 

  • Satzger G, Ganz W (2010) Auf dem Weg zu einer Service Science – Perspektiven, Forschungsthemen und Handlungsempfehlungen aus der Sicht einer interdisziplinären Arbeitsgruppe. Arbeitsgruppe Evaluation Service Science der Taskforce Dienstleistungen – Forschungsunion Wirtschaft-Wissenschaft

    Google Scholar 

  • Spohrer J, Maglio PP, Bailey J, Gruhl D (2007) Steps toward a science of service systems. Computer 40(1):71–77

    Article  Google Scholar 

  • Srivastava J, Cooley R, Deshpande M, Tan PN (2000) Web usage mining. ACM SIGKDD Explor Newslett 1(2):12

    Article  Google Scholar 

  • Treacy M, Wiersema FD (1993) Customer intimacy and other value disciplines. Harv Bus Rev 84–93

    Google Scholar 

  • Vargo SL, Lusch RF (2004) Evolving to a new dominant logic for marketing. J Mark 68(1):1–17

    Article  Google Scholar 

  • Vargo SL, Lusch RF (2008) From goods to service(s): divergences and convergences of logics. Ind Mark Manage 37(3):254–259

    Article  Google Scholar 

  • Wagner SM, Lindemann E (2008) A case study-based analysis of spare parts management in the engineering industry. Prod Plan Control 19(4):397–407

    Article  Google Scholar 

  • White C (2011) Using big data for smarter decision making. BI Research

    Google Scholar 

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Correspondence to Hansjörg Fromm .

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Fromm, H., Habryn, F., Satzger, G. (2012). Service Analytics: Leveraging Data Across Enterprise Boundaries for Competitive Advantage. In: Bäumer, U., Kreutter, P., Messner, W. (eds) Globalization of Professional Services. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29181-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-29181-4_13

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  • Print ISBN: 978-3-642-29180-7

  • Online ISBN: 978-3-642-29181-4

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