IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-319-95273-4_2.html
   My bibliography  Save this book chapter

Enabling Digital Transformation Through Robotic Process Automation at Deutsche Telekom

In: Digitalization Cases

Author

Listed:
  • Manfred Schmitz

    (Detecon Consulting FZ-LLC)

  • Christian Dietze

    (Detecon Consulting FZ-LLC)

  • Christian Czarnecki

    (Hochschule für Telekommunikation Leipzig)

Abstract

(a) Situation faced: Due to the high number of customer contacts, fault clearances, installations, and product provisioning per year, the automation level of operational processes has a significant impact on financial results, quality, and customer experience. Therefore, the telecommunications operator Deutsche Telekom (DT) has defined a digital strategy with the objectives of zero complexity and zero complaint, one touch, agility in service, and disruptive thinking. In this context, Robotic Process Automation (RPA) was identified as an enabling technology to formulate and realize DT’s digital strategy through automation of rule-based, routine, and predictable tasks in combination with structured and stable data. (b) Action taken: Starting point of the project was the aim to implement DT’s digital strategy. In an early stage of the project, it was decided to utilize RPA as enabler, in particular to drive digitization and automation of transactional activities. From a methodical perspective, the set-up and conduction of the RPA project was structured into (1) organization and governance, (2) processes, and (3) technology and operations. From the content perspective, the RPA project defined and implemented a multitude of detailed RPA use cases, whereof two concrete use cases are described. (c) Results achieved: Within less than 6 months from the project start, the first transactions were performed automatically through RPA. In March 2016, approx. 229 thousand automatic transactions were successfully realized. Since then, the number of automatic transactions through RPA per month has been increasing significantly. The increase of automatic transactions per month was realized through a growing amount of usage of RPA in different process areas of DT. Within 1 year, the number of automatic transactions per month has been increased to more than 1 million. (d) Lessons learned: The case provides an example for a concrete technology-induced change as part of a digital transformation. The concept of RPA provides an opportunity to automate human activities through software robots. The lessons learned utilizable for future RPA projects are: (1) Agile design and implementation are important for a successful digital transformation. (2) Understand technical innovations as enabler of the digital transformation. (3) Investigate technical and organizational interrelations from the beginning. (4) RPA is more than a pure cost cutting instrument. (5) The impact of RPA on the people dimension should be managed carefully from the beginning.

Suggested Citation

  • Manfred Schmitz & Christian Dietze & Christian Czarnecki, 2019. "Enabling Digital Transformation Through Robotic Process Automation at Deutsche Telekom," Management for Professionals, in: Nils Urbach & Maximilian Röglinger (ed.), Digitalization Cases, pages 15-33, Springer.
  • Handle: RePEc:spr:mgmchp:978-3-319-95273-4_2
    DOI: 10.1007/978-3-319-95273-4_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Federico A. Lievano-Martínez & Javier D. Fernández-Ledesma & Daniel Burgos & John W. Branch-Bedoya & Jovani A. Jimenez-Builes, 2022. "Intelligent Process Automation: An Application in Manufacturing Industry," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    2. Claudio Vitari & E. Raguseo, 2021. "Big data technologies: perceived benefits and costs for adopter and non-adopter enterprises [Technologies pour les données massives : Bénéfices et coûts perçus par les entreprises adoptantes et non," Post-Print hal-03323888, HAL.
    3. Krakau, Jan & Feldmann, Carsten & Kaupe, Victor, 2021. "Robotic process automation in logistics: Implementation model and factors of success," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 219-256, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:mgmchp:978-3-319-95273-4_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.