Data Management in ERP system, Actiw Oy - Case Study
Huynh, Mai (2022)
Huynh, Mai
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022121530077
https://urn.fi/URN:NBN:fi:amk-2022121530077
Tiivistelmä
Data management is unquestionably a key component of every enterprise. Notwithstanding, without clear instructions and open communication among staff in the first implementation phase about using the new ERP systems, which the organization has never used is a risky and difficult task to aim for.
The purpose of the thesis is a guideline for the case company on how to use the ERP software system Odoo. The major findings of the thesis are crucial for other small and medium-sized businesses that desire to use the Odoo system in their processes. These businesses can use the information to plan ahead as the trial phase before the adoption takes a significant amount of time.
Both primary and secondary data are collected using the qualitative research method. To first make the fundamental concepts of the project clearer clear, secondary data like a literature review is obtained and examined. As soon as the theory is employed as the basis for the project flow, the company's CEO and financial controller offer the primary data, together with information gleaned from self-study, observation, and a few brief interviews conducted during the internship period. These are crucial data elements that the author needs to assess the software holistically and offer improvements.
In conclusion, both research questions are resolved, consisting of identifying valid data that are suitable to be entered into the system and defining expectations of the Indian subsidiary for the software.
The purpose of the thesis is a guideline for the case company on how to use the ERP software system Odoo. The major findings of the thesis are crucial for other small and medium-sized businesses that desire to use the Odoo system in their processes. These businesses can use the information to plan ahead as the trial phase before the adoption takes a significant amount of time.
Both primary and secondary data are collected using the qualitative research method. To first make the fundamental concepts of the project clearer clear, secondary data like a literature review is obtained and examined. As soon as the theory is employed as the basis for the project flow, the company's CEO and financial controller offer the primary data, together with information gleaned from self-study, observation, and a few brief interviews conducted during the internship period. These are crucial data elements that the author needs to assess the software holistically and offer improvements.
In conclusion, both research questions are resolved, consisting of identifying valid data that are suitable to be entered into the system and defining expectations of the Indian subsidiary for the software.