Handling mismatched data to leverage the marketing performance at All Things Commerce
Nguyen, Huong (2021)
Avaa tiedosto
Lataukset:
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021120924660
https://urn.fi/URN:NBN:fi:amk-2021120924660
Tiivistelmä
E-commerce is increasing in significance and plays a pivotal unit in a business. Parallel with the development, several platforms are generated to track business performance and increase sales performance as well as gain brand awareness. However, each platform uses unique metrics to report results. Therefore, numerous mismatched data are shown up which can lead marketers and companies to find it difficult to choose the single source of truth to trust.
The thesis focuses on researching and identifying the problems that trigger mismatched data. The main purpose is to collect, analyze data, and cope with inaccurate data. With the permission of All Things Commerce (ATC), the research will apply ATC’s case to explain and describe the issues better.
The result of the study will be utilized to handle data inconsistency of ATC in specific and other businesses in general. Additionally, the outcome will support enterprises to understand the algorithm and functions as well as the methods of collecting data of different platforms.
The thesis focuses on researching and identifying the problems that trigger mismatched data. The main purpose is to collect, analyze data, and cope with inaccurate data. With the permission of All Things Commerce (ATC), the research will apply ATC’s case to explain and describe the issues better.
The result of the study will be utilized to handle data inconsistency of ATC in specific and other businesses in general. Additionally, the outcome will support enterprises to understand the algorithm and functions as well as the methods of collecting data of different platforms.