Problems and Solutions of Data Analytics in Business

Liwei Liu

2024

Abstract

Nowadays, business cannot thrive without data, and naturally, data analytics has become an indispensable tool in business. Data analysis can not only intuitively provide decision-making support, but also help enterprises to understand the market and customers more deeply and provide enterprises with more accurate and efficient programs and development direction. But while data analytics in business provides results for companies, there are also not a few problems. This study analyzes the problems of data analytics in business by analyzing them and proposing countermeasures. This paper examines four problems of data analysis in enterprises: data quality problem, data leakage problem, inaccurate data analysis problem, and data application problem. In response to these problems, this paper establishes a data processing mechanism, encrypts data, upgrades the tools and related talents for data analysis, and promotes good communication among departments, so as to ensure the stability of data quality, prevent the leakage of information, improve the accuracy rate, and enable better application in reality.

Paper Citation

in Harvard Style

Liu L. (2024). Problems and Solutions of Data Analytics in Business. In Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI; ISBN 978-989-758-726-9, SciTePress, pages 123-127. DOI: 10.5220/0013207700004568

in Bibtex Style

@conference{ecai24,
author={Liwei Liu},
title={Problems and Solutions of Data Analytics in Business},
booktitle={Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI},
year={2024},
pages={123-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013207700004568},
isbn={978-989-758-726-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on E-commerce and Artificial Intelligence - Volume 1: ECAI
TI - Problems and Solutions of Data Analytics in Business
SN - 978-989-758-726-9
AU - Liu L.
PY - 2024
SP - 123
EP - 127
DO - 10.5220/0013207700004568
PB - SciTePress