Enhancing Growth by Utilizing Data-analytics, Artificial Intelligence and Bots : The Case of Gofore Plc
Vuorihuhta, Jere (2019)
Vuorihuhta, Jere
2019
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2019113023630
https://urn.fi/URN:NBN:fi:amk-2019113023630
Tiivistelmä
As today’s organizations are forced to adapt to their ever-changing environments, new practices and ways of operating have emerged. This Bachelor’s Thesis studies relevant literature regarding organizational change and artificial intelligence. Even though both tend to be current topics, the possibilities and impacts between the two are still relatively unknown. For these reasons, this thesis aims to examine how technology could be used in organizational processes, and especially in business to business sales.
The commissioner of this thesis, Gofore Plc, implements a self-driven organizational structure with a people-centric culture. Additionally, the organization’s processes are supported with technological tools and data. This enables the organization a culture of experimentation and the ability to adapt to change.
In this thesis, qualitative in-depth interviews served as a primary data-collection method. In addition to this, a comprehensive literature review gave an overview of key findings, concepts and developments in relation to the studied topics. Based on the information gathered from the aforementioned, suitable suggestions could be proposed.
As a result, the findings emphasized; the importance of centralizing data in a commonly agreed place, the utilization of prior data, and pricing. In addition, technological possibilities, like AI enhancing sales presentations and other future possibilities, were discussed.
The commissioner of this thesis, Gofore Plc, implements a self-driven organizational structure with a people-centric culture. Additionally, the organization’s processes are supported with technological tools and data. This enables the organization a culture of experimentation and the ability to adapt to change.
In this thesis, qualitative in-depth interviews served as a primary data-collection method. In addition to this, a comprehensive literature review gave an overview of key findings, concepts and developments in relation to the studied topics. Based on the information gathered from the aforementioned, suitable suggestions could be proposed.
As a result, the findings emphasized; the importance of centralizing data in a commonly agreed place, the utilization of prior data, and pricing. In addition, technological possibilities, like AI enhancing sales presentations and other future possibilities, were discussed.