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Challenges of data management and analytics in omni-channel CRM

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Listed:
  • Trautmann, Heike
  • Vossen, Gottfried
  • Homann, Leschek
  • Carnein, Matthias
  • Kraume, Karsten

Abstract

Data Management and Data Analytics are of huge importance to Business Process Outsourcing Providers in Customer Relationship Management (CRM) in order to offer tailor-made CRM Solutions to their business clients during presales, sales and aftersales. These solutions support business clients to improve their internal processes, as well as their customer service in a variety of communication channels (including e-mail, chat, social media, private messages, etc.) to reach out to end customers in an efficient way. As customer interactions may happen via various channels basically at any time, a crucial challenge is to efficiently store and integrate the data of the various channels in order to obtain a unified customer profile. This paper abstracts from the underlying platforms and instead considers the requirements to CRM solutions for the various communication channels, in order to devise a uniform and corporate-wide data architecture for an omni-channel customer view to maximize the business clients' value in customer retention and customer centric analytics. Especially, online customer segmentation integrating channel usage and preferences is presented as a very promising means for constructing a self-energising information loop which will lead to highly improved customer service along the whole customer journey.

Suggested Citation

  • Trautmann, Heike & Vossen, Gottfried & Homann, Leschek & Carnein, Matthias & Kraume, Karsten, 2017. "Challenges of data management and analytics in omni-channel CRM," ERCIS Working Papers 28, University of Münster, European Research Center for Information Systems (ERCIS).
    • Handle: RePEc:zbw:ercisw:28
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    References listed on IDEAS

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    1. Doreén Pick & Jacquelyn S. Thomas & Sebastian Tillmanns & Manfred Krafft, 2016. "Customer win-back: the role of attributions and perceptions in customers’ willingness to return," Journal of the Academy of Marketing Science, Springer, vol. 44(2), pages 218-240, March.
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    More about this item

    Keywords

    Omni-Channel CRM; Big Data; Customer Segmentation; Data Architecture;
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