Subject category:
Knowledge, Information and Communication Systems Management
Published by:
RSM Case Development Centre
Revision date: 7-Dec-2022
Length: 12 pages
Data source: Field research
Topics:
Actionable insights; Artificial Intelligence (AI); Big data; Data-driven; Data analytics; Data monetization; Digital transformation; Entrepreneurial mindset; Living approach; Location intelligence; Organisational decision-making; Prediction model; Software-as-a-service (SAAS); Unstructured data; Visual recognition technology
Abstract
Founded in 2014, Dashmote was a rapidly growing and globally operating Software as a Service (SaaS) company based on its Artificial Intelligence (AI), natural language processing and visual recognition technologies. The founders aimed to guide people toward success in an AI and data-driven world by improving their understanding of the world of visual content and unlocking the value behind the massive amount of online and offline data. By the end of 2018, they had decided to focus on the use of their solution 'Location Intelligence' in the beverage and fast-moving consumer goods (FMCG) industries. Their service turned data into actionable business insights for their clients. In 2019, the company grew from 20 to 65 employees. Scrum was adaptively implemented in its project management. In 2020, the company expanded its global footprint to 17 new countries and increased its annual recurring revenue by 193%. The ongoing transformation was noticeable and evident in every aspect of Dashmote's business. The company continued to establish itself as a leading global SaaS business. The fundamental and constant question to the founders and management team was how they could further expand in a scalable way and help people and organisations through technology.
Teaching and learning
This item is suitable for undergraduate, postgraduate and executive education courses.Time period
The events covered by this case took place in 2014-2021.Geographical setting
Region:
Europe
Countries:
The Netherlands; China
Featured company
Dashmote
Employees:
51-200
Industry:
Software as a Service (SaaS)
Featured protagonist
- Dennis Tan (male), CEO & Co-founder, Dashmote
Subject category:
Knowledge, Information and Communication Systems Management
Published by:
RSM Case Development Centre
Revision date: 7-Dec-2022
Length: 15 pages
Data source: Field research
About
Abstract
Founded in 2014, Dashmote was a rapidly growing and globally operating Software as a Service (SaaS) company based on its Artificial Intelligence (AI), natural language processing and visual recognition technologies. The founders aimed to guide people toward success in an AI and data-driven world by improving their understanding of the world of visual content and unlocking the value behind the massive amount of online and offline data. By the end of 2018, they had decided to focus on the use of their solution 'Location Intelligence' in the beverage and fast-moving consumer goods (FMCG) industries. Their service turned data into actionable business insights for their clients. In 2019, the company grew from 20 to 65 employees. Scrum was adaptively implemented in its project management. In 2020, the company expanded its global footprint to 17 new countries and increased its annual recurring revenue by 193%. The ongoing transformation was noticeable and evident in every aspect of Dashmote's business. The company continued to establish itself as a leading global SaaS business. The fundamental and constant question to the founders and management team was how they could further expand in a scalable way and help people and organisations through technology.
Teaching and learning
This item is suitable for undergraduate, postgraduate and executive education courses.Settings
Time period
The events covered by this case took place in 2014-2021.Geographical setting
Region:
Europe
Countries:
The Netherlands; China
Featured company
Dashmote
Employees:
51-200
Industry:
Software as a Service (SaaS)
Featured protagonist
- Dennis Tan (male), CEO & Co-founder, Dashmote
Related
Subject category:
Knowledge, Information and Communication Systems Management
Published by:
RSM Case Development Centre
Revision date: 7-Dec-2022
Length: 15 pages
Data source: Field research