The influence of the time factor on product data quality in the fast-moving consumer goods industry
Batani Oseguera, Enrique (2016)
Diplomityö
Batani Oseguera, Enrique
2016
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2016111528497
https://urn.fi/URN:NBN:fi-fe2016111528497
Tiivistelmä
As technology and digitalization expand to all areas of life and economy new applications and platforms need to be fueled with data of quality. Similarly, increasing legal and market requirements have led retailers from the Fast-Moving Consumer Goods industry to diversify their presence and services to end-consumers in an omni-channel context, thereby raising their product data requirements regarding content and data availability. However, a clear point in time for the delivery of product data has not been specified for product manufacturers causing uncertainty and impacting negatively on the quality of product data.
This thesis studies the influence of the time factor on the quality of the product data in the context of cross-company data communication. The research focuses on how a manufacturer can meet the required quality for its product master data on time to enable omni-channel commerce for its trading partners in the Fast-Moving Consumer Goods industry. The approach to answer the research question uses literature review and the multiple-case study methodology through face-to-face interviews with representatives of four leading companies in the retail industry in Germany. Additionally, this study analyses the feasibility of a solution proposed by industry specialists called “Preliminary Trade Item”.
The results show a way to harmonize the manufacturers’ data capabilities with the retailers’ product data requirements and to reduce uncertainty by delivering the product data when it is final and when it is needed by the retail company considering an omni channel perspective.
This thesis studies the influence of the time factor on the quality of the product data in the context of cross-company data communication. The research focuses on how a manufacturer can meet the required quality for its product master data on time to enable omni-channel commerce for its trading partners in the Fast-Moving Consumer Goods industry. The approach to answer the research question uses literature review and the multiple-case study methodology through face-to-face interviews with representatives of four leading companies in the retail industry in Germany. Additionally, this study analyses the feasibility of a solution proposed by industry specialists called “Preliminary Trade Item”.
The results show a way to harmonize the manufacturers’ data capabilities with the retailers’ product data requirements and to reduce uncertainty by delivering the product data when it is final and when it is needed by the retail company considering an omni channel perspective.