Skip to main content

Uber: Process Mining to Optimize Customer Experience and Business Performance

  • Chapter
  • First Online:

Abstract

Process Mining has allowed Uber’s Customer Support teams to uncover insights across their processes that touch more than 700 cities across 65 countries on 6 continents. This capability allows Uber to understand variation in customer support and target large-scale multimillion dollar efficiency gains through process harmonization and increased customer satisfaction though global process benchmarking. Internally, Uber has used the power of Process Mining to help foster a culture of continuous improvement by providing a deeper level of business process visibility.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   64.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Martin Rowlson .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rowlson, M. (2020). Uber: Process Mining to Optimize Customer Experience and Business Performance. In: Reinkemeyer, L. (eds) Process Mining in Action. Springer, Cham. https://doi.org/10.1007/978-3-030-40172-6_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-40172-6_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40171-9

  • Online ISBN: 978-3-030-40172-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics