Taiger AI: Unbundling the business value of NLP
Set in April 2020, the case talks about TAIGER, a software-as-a-service (SaaS) company providing natural language processing (NLP) solutions in a rapidly growing market where demand and competition for such solutions are high. TAIGER solutions could process and digitise large amounts of physical dat...
Saved in:
Main Authors: | , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/cases_coll_all/340 https://smu.sharepoint.com/sites/admin/CMP/cases/SMU-21-BATCH%20%5BPDF-Pic%5D/SMU-21-0001%20%5BTaiger%5D/SMU-21-0001%20%5BTaiger%5D.pdf?CT=1619584891093&OR=ItemsView |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.cases_coll_all-1336 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.cases_coll_all-13362022-08-18T09:48:42Z Taiger AI: Unbundling the business value of NLP CHOKSHI, Seema BHATTACHARYA, Lipika LIM, Wee Kiat Set in April 2020, the case talks about TAIGER, a software-as-a-service (SaaS) company providing natural language processing (NLP) solutions in a rapidly growing market where demand and competition for such solutions are high. TAIGER solutions could process and digitise large amounts of physical data, perform search and extract functions on data, and make appropriate recommendations. The algorithms and tools were bundled under three packages, and were customised for every client. Client companies were mainly large organisations and government entities. Despite a growing customer base, Arroyo and his team found it increasingly difficult to service new clients, who demanded more customisation and services. TAIGER’s solution packages were bundled together with customisation and post-implementation support services based on contract licenses. The downside of this model was that it used many resources and limited the delivery of the products to a per project basis. The monetisation of the model was also complicated and project costs were difficult to control. Administering customised solutions was time consuming and expensive for both TAIGER and its clients; it also lacked flexibility and quick scalability for large-scale implementation. Arroyo realised that he needed more than just efficient solutions, given the expanding opportunities for NLP in the market and the constraints of TAIGER’s existing solution packaging. He wondered if designing a new business model was the right way forward. Would he also need to devise a new pricing strategy and rebundle solution offerings? How could he unbundle the business value of TAIGER’s NLP solutions? Students will be able to 1) understand the monetisation strategies of a SaaS business model 2) product rebundling strategies to cope with business model limitations 3) constraints of pricing strategies and revenue model of bundled SaaS solutions 2021-04-01T07:00:00Z text https://ink.library.smu.edu.sg/cases_coll_all/340 https://smu.sharepoint.com/sites/admin/CMP/cases/SMU-21-BATCH%20%5BPDF-Pic%5D/SMU-21-0001%20%5BTaiger%5D/SMU-21-0001%20%5BTaiger%5D.pdf?CT=1619584891093&OR=ItemsView Case Collection eng Institutional Knowledge at Singapore Management University Software as a service product unbundling business model innovation pricing strategy artificial intelligence digital transformation Artificial Intelligence and Robotics Technology and Innovation |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Software as a service product unbundling business model innovation pricing strategy artificial intelligence digital transformation Artificial Intelligence and Robotics Technology and Innovation |
spellingShingle |
Software as a service product unbundling business model innovation pricing strategy artificial intelligence digital transformation Artificial Intelligence and Robotics Technology and Innovation CHOKSHI, Seema BHATTACHARYA, Lipika LIM, Wee Kiat Taiger AI: Unbundling the business value of NLP |
description |
Set in April 2020, the case talks about TAIGER, a software-as-a-service (SaaS) company providing natural language processing (NLP) solutions in a rapidly growing market where demand and competition for such solutions are high. TAIGER solutions could process and digitise large amounts of physical data, perform search and extract functions on data, and make appropriate recommendations. The algorithms and tools were bundled under three packages, and were customised for every client. Client companies were mainly large organisations and government entities. Despite a growing customer base, Arroyo and his team found it increasingly difficult to service new clients, who demanded more customisation and services. TAIGER’s solution packages were bundled together with customisation and post-implementation support services based on contract licenses. The downside of this model was that it used many resources and limited the delivery of the products to a per project basis. The monetisation of the model was also complicated and project costs were difficult to control. Administering customised solutions was time consuming and expensive for both TAIGER and its clients; it also lacked flexibility and quick scalability for large-scale implementation. Arroyo realised that he needed more than just efficient solutions, given the expanding opportunities for NLP in the market and the constraints of TAIGER’s existing solution packaging. He wondered if designing a new business model was the right way forward. Would he also need to devise a new pricing strategy and rebundle solution offerings? How could he unbundle the business value of TAIGER’s NLP solutions?
Students will be able to 1) understand the monetisation strategies of a SaaS business model 2) product rebundling strategies to cope with business model limitations 3) constraints of pricing strategies and revenue model of bundled SaaS solutions |
format |
text |
author |
CHOKSHI, Seema BHATTACHARYA, Lipika LIM, Wee Kiat |
author_facet |
CHOKSHI, Seema BHATTACHARYA, Lipika LIM, Wee Kiat |
author_sort |
CHOKSHI, Seema |
title |
Taiger AI: Unbundling the business value of NLP |
title_short |
Taiger AI: Unbundling the business value of NLP |
title_full |
Taiger AI: Unbundling the business value of NLP |
title_fullStr |
Taiger AI: Unbundling the business value of NLP |
title_full_unstemmed |
Taiger AI: Unbundling the business value of NLP |
title_sort |
taiger ai: unbundling the business value of nlp |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2021 |
url |
https://ink.library.smu.edu.sg/cases_coll_all/340 https://smu.sharepoint.com/sites/admin/CMP/cases/SMU-21-BATCH%20%5BPDF-Pic%5D/SMU-21-0001%20%5BTaiger%5D/SMU-21-0001%20%5BTaiger%5D.pdf?CT=1619584891093&OR=ItemsView |
_version_ |
1794549838735474688 |